Publications

Publications

Publications

2019

Aughwane, R., Sokolska, M., Flouri, D., Spencer, R., Maksym, K., Mufti, N., ...Deprest, J. (2019). Placental Perfusion and Fetal Blood Oxygen Saturation Measured with MRI in Normal Pregnancy and Fetal Growth Restriction..
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Brizmohun Appayya, M., Pye, H., ...Freeman, A. (2019). VERDICT MRI validation in fresh and fixed prostate specimens using patient-specific moulds for histological and MR alignment.. NMR Biomed, e4073. doi:10.1002/nbm.4073
Callaghan, R., Alexander, D., Zhang, H., Palombo, M. (2019). Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation.
Callaghan, R., Shemesh, N., Alexander, D., Zhang, H., Palombo, M. (2019). Towards a more realistic and flexible white matter numerical phantom generator for diffusion MRI simulation.
Cochran, J.M., Busch, D.R., Lin, L., Minkoff, D.L., Schweiger, M., Arridge, S., Yodh, A.G. (2019). Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging. Journal of biomedical optics, 24 (5), 1-11. doi:10.1117/1.JBO.24.5.051409
Ebner, M., Patel, P., Atkinson, D., Caselton, L., Taylor, S., Bainbridge, A., ...Vercauteren, T. (2019). Reconstruction-based super-resolution for high-resolution abdominal MRI: A preliminary study.
Evans, V.S., Torrealdea, F., Rega, M., Brizmohun Appayya, M., Latifoltojar, A., Sidhu, H., ...Golay, X. (2019). Optimization and Repeatability of Multipool Chemical Exchange Saturation Transfer MRI of the Prostate at 3.0 T. Journal of Magnetic Resonance Imaging, doi:10.1002/jmri.26690
Fairbrass, A.J., Firman, M., Williams, C., Brostow, G.J., Titheridge, H., Jones, K.E. (2019). CityNet—Deep learning tools for urban ecoacoustic assessment. Methods in Ecology and Evolution, doi:10.1111/2041-210X.13114
Flouri, D., Pratt, R., Sokolska, M., Mufti, N., Atkinson, D., Kendall, G., ...David, A. (2019). Model-Driven Registration for 3D Placental Diffusion-Weighted MRI.
Gollifer, R., Menys, A., Zarate-Lopez, N., Chatoor, D., Emmanuel, A., Taylor, S., Atkinson, D. (2019). MRI assessed dysmotility and texture analysis in the terminal ileum and small bowel: A pilot study comparison between Irritable Bowel Syndrome (IBS) patients with bloating and healthy controls.
Gong, Y., Devine, W., Giganti, F., Atkinson, D., Punwani, S. (2019). Optimisation of luminal water imaging for classification of prostate cancer.
Griffin, L.D., Caldwell, M., Andrews, J., Bohler, H. (2019). ‘Unexpected item in the bagging area’: Anomaly Detection in X-ray Security Images. IEEE Transactions on Information Forensics and Security, doi:10.1109/TIFS.2018.2881700
Grussu, F., Battiston, M., Prados Carrasco, F.E.R.R.A.N., Schneider, T.O.R.B.E.N., Kaden, E.N.R.I.C.O., Samson, R.E.B.E.C.C.A., ...Wheeler-Kingshott, C.L.A.U.D.I.A. (2019). Clinically viable g-ratio imaging with unified readout at 3T: evaluation and comparison.
Hutter, J., Slator, P., Jackson, L., Ho, A., McCabe, L., Story, L., ...Rutherford, M. (2019). Joint T2*-Diffusion MRI to assess microstructure and oxygenation simultaneously in the human placenta.
Jin, B., Arridge, S., Zhang, C. (2019). Expectation propagation for Poisson data. Inverse Problems,
Johnson, D., Ricciardi, A., Brownlee, W., Kanber, B., Prados Carrasco, F., Collorone, S., ...Wheeler-Kingshott, C. (2019). Sensitivity of NODDI and two-compartment SMT parameter maps in multiple sclerosis.
Johnstone, R., Atkinson, D., Chouhan, M., Sharma, R., McClelland, J. (2019). Free-breathing MRI of the upper abdomen assisted by motion modelling.
Johnston, E.W., Bonet-Carne, E., Ferizi, U., Yvernault, B., Pye, H., Patel, D., ...Sidhu, H.S. (2019). VERDICT MRI for Prostate Cancer: Intracellular Volume Fraction versus Apparent Diffusion Coefficient.. Radiology, 181749. doi:10.1148/radiol.2019181749
Kelly, C.J., Christiaens, D., Batalle, D., Makropoulos, A., Cordero-Grande, L., Steinweg, J.K., ...Victor, S. (2019). Abnormal Microstructural Development of the Cerebral Cortex in Neonates With Congenital Heart Disease Is Associated With Impaired Cerebral Oxygen Delivery.. J Am Heart Assoc, 8 (5), e009893. doi:10.1161/JAHA.118.009893
Kim, M., Battiston, M., Demetriou, E., Kujawa, A., Schneider, T., Evans, V., ...Golay, X. (2019). Translating pH-sensitive PROgressive saturation for Quantifying Exchange using Saturation Times (PRO-QUEST) MRI to a 3T Clinical Scanner.
Kolehmainen, V., Ehrhardt, M.J., Arridge, S.R. (2019). INCORPORATING STRUCTURAL PRIOR INFORMATION AND SPARSITY INTO EIT USING PARALLEL LEVEL SETS. INVERSE PROBLEMS AND IMAGING, 13 (2), 285-307. doi:10.3934/ipi.2019015
Lacher, R.M., Vasconcelos, F., Williams, N., Rindermann, G., Hipwell, J., Hawkes, D., Stoyanov, D. (2019). Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation. Medical Image Analysis, 53 11-25. doi:10.1016/j.media.2019.01.003
Marinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., ...Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2019). DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.. Neuroimage, doi:10.1016/j.neuroimage.2019.02.053
Mayer, J., Thielemans, K., Ovtchinnikov, E., Atkinson, D., Marsden, P., Schaffter, T., Kolbitsch, C. (2019). Flexible numerical simulation framework for dynamic PET-MRI.
Menys, A., Hoad, C., Spiller, R., Scott, M., Atkinson, D., Marciani, L., Taylor, S. (2019). Spatio-Temporal Motility MRI (STMM) analysis of the stomach and colon. Neurogastroenterology and Motility, doi:10.1111/nmo.13557
Palombo, M., Alexander, D.C., Zhang, H. (2019). A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage, 188 391-402. doi:10.1016/j.neuroimage.2018.12.025
Papadimitriou, K., Hebden, J., Arridge, S., Powell, S. (2019). A dual-wavelength spread spectrum-based spectroscopic system For time-domain near-infrared diffuse optical imaging.
Powell, S., Cox, B.T., Arridge, S.R. (2019). A pseudospectral method for solution of the radiative transport equation. JOURNAL OF COMPUTATIONAL PHYSICS, 384 376-382. doi:10.1016/j.jcp.2019.01.024
Slator, P., Hutter, J., Marinescu, R., Palombo, M., Young, A., Jackson, L., ...Hajnal, J. (2019). InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI. In Springer.
Slator, P., Hutter, J., Palombo, M., Jackson, L.H., Ho, A., Panagiotaki, E., ...Alexander, D. (2019). Combined Diffusion-Relaxometry MRI to Identify Dysfunction in the Human Placenta. Magnetic Resonance in Medicine, doi:10.1002/mrm.27733
Smith, L., Melbourne, A., Owen, D., Cardoso, M., Sudre, C., Tillin, T., ...Ourselin, S. (2019). Cortical cerebral blood flow in ageing: effects of haematocrit, sex, ethnicity and diabetes. European Radiology, doi:10.1007/s00330-019-06096-w
Tax, C.M., Grussu, F., Kaden, E., Ning, L., Rudrapatna, U., Evans, J., ...Merhof, D. (2019). Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.. Neuroimage, doi:10.1016/j.neuroimage.2019.01.077
Tran, M., Latifoltojar, A., Neves, J., Papoutsaki, M.-.V., Gong, Y., Comment, A., ...El Sheikh, S. (2019). First-in-human in vivo non-invasive assessment of intra-tumoral metabolic heterogeneity in renal cell carcinoma. BJR|case reports, doi:10.1259/bjrcr.20190003
Usman, M., Matakos, A., Kakkar, L., Arridge, S., Atkinson, D. (2019). Model based joint B0 and image estimation framework for dynamic field mapping and signal pile-up correction in prostate diffusion MRI.

2018

Allan, M., Ourselin, S., Hawkes, D.J., Kelly, J.D., Stoyanov, D. (2018). 3D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2018.2794439
Arridge, S.R., Ito, K., Jin, B., Zhang, C. (2018). Variational Gaussian approximation for Poisson data. Inverse Problems, 34 (2), doi:10.1088/1361-6420/aaa0ab
Atkinson, D., Usman, M., Kakkar, L.S., Arridge, S.R. (2018). 5652 Geometry in MR Reconstruction.
Bailey, C., Collins, D.J., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Panagiotaki, E. (2018). Microstructure characterization of Bone Metastases from Prostate cancer with Diffusion MRI: Preliminary Findings. Frontiers in Oncology, 8 doi:10.3389/fonc.2018.00026
Banerjee, J., Patel, P.A., Ushakov, F., Peebles, D., Deprest, J., Ourselin, S., ...Vercauteren, T. (2018). A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography.
Batalle, D., O'Muircheartaigh, J., Makropoulos, A., Kelly, C.J., Dimitrova, R., Hughes, E.J., ...Edwards, A.D. (2018). Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage, doi:10.1016/j.neuroimage.2018.05.046
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2018). Improvement of the Sign Determination Method for Data-Driven respiratory signal in TOF-PET.
Bertolli, O., Cuplov, V., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2018). Detection of Lung Density Variations with Principal Component Analysis in PET.
Blumberg, S.B., Tanno, R., Kokkinos, I., Alexander, D.C. (2018). Deeper image quality transfer: Training low-memory neural networks for 3D images. .
Blumberg, S.B., Tanno, R., Kokkinos, I., Alexander, D.C. (2018). Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images..
Bonet-Carne, E., Daducci, A., Johnston, E., Jacobs, J., Freeman, A., Atkinson, D., ...panagiotaki, E. (2018). VERDICT Prostate Parameter Estimation with AMICO.
Bonet-Carne, E., Johnston, E., Daducci, A., Jacobs, J.G., Freeman, A., Atkinson, D., ...Panagiotaki, E. (2018). VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive prostate microstructure characterization. NMR in Biomedicine, doi:10.1002/nbm.4019
Bonet-Carne, E., Tariq, M., Pye, H., Brizmohun, M., Haider, A., Bayley, C., ...Atkinson, D. (2018). Histological Validation of in-vivo VERDICT MRI for Prostate using 3D Personalised Moulds.
Bragman, F.J.S., Tanno, R., Eaton-Rosen, Z., Li, W., Hawkes, D.J., Ourselin, S., ...Cardoso, M.J. (2018). Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
Bragman, F.J.S., Young, A.L., Hawkes, D.J., Alexander, D.C., Hurst, J.R. (2018). Disease progression patterns in COPD.
Brizmohun, M., Johnston, E., Latifoltojar, A., O'Callaghan, J., Bonet-Carne, E., Ferizi, U., ...Clemente, J. (2018). The intracellular component of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumors) MRI distinguishes Gleason 4 pattern better than Apparent Diffusion Coefficient.
Broad, R.J., Gabel, M.C., Dowell, N.G., Schwartzman, D.J., Seth, A.K., Zhang, H., ...Leigh, P.N. (2018). Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS. Journal of Neurology, Neurosurgery & Psychiatry, doi:10.1136/jnnp-2018-318830
Brown, S., Van Herk, M., Chuter, R., Falk, S., Kirkby, K., Mackay, R., ...Hall, E. (2018). Advanced Radiotherapy Technologies Network in the UK (ART-NET) - focus on lung cancer.
Brusaferri, L., Bousse, A., Efthimiou, N., Emond, E., Atkinson, D., Ourselin, S., ...Thielemans, K. (2018). Potential benefits of incorporating energy information when estimating attenuation from PET data.
Bulgarelli, C., Blasi, A., Arridge, S., Powell, S., de Klerk, C., Southgate, V., ...Hamilton, A. (2018). Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.. NeuroImage, doi:10.1016/j.neuroimage.2018.04.022
Byrne, L.M., Brogueira Rodrigues, F., Johnson, E., Wijeratne, P., De Vita, E., Alexander, D., ...Scahill, R. (2018). Evaluation of mutant huntingtin and neurofilament proteins as potential markers in Huntington’s disease. Science Translational Medicine, doi:10.1126/scitranslmed.aat7108
Byrne, L.M., Rodrigues, F.B., Johnson, E.B., Wijeratne, P.A., De Vita, E., Alexander, D.C., ...Heslegrave, A. (2018). PARALLEL EVALUATION OF MUTANT HUNTINGTIN AND NEUROFILAMENT LIGHT AS BIOMARKERS FOR HUNTINGTON'S DISEASE: THE HD-CSF STUDY.
Byrne, L.M., Rodrigues, F.B., Johnson, E.B., Wijeratne, P.A., De Vita, E., Alexander, D.C., ...Heslegrave, A. (2018). Parallel Evaluation of Mutant Huntingtin and Neurofilament Light as Biomarkers for Huntington Disease: the HD-CSF Study.
Clancy, N.T., Gurusamy, K., Jones, G., Davidson, B., Clarkson, M., Hawkes, D., Stoyanov, D. (2018). Spectral imaging of thermal damage induced during microwave ablation in the liver.
Davis, S.P.X., Wisniewski, L., Kumar, S., Correia, T., Arridge, S.R., Frankel, P., ...French, P.M.W. (2018). Slice-illuminated optical projection tomography. Optics Letters, 43 (22), 5555-5558. doi:10.1364/OL.43.005555
Deans, C., Griffin, L.D., Marmugi, L., Renzoni, F. (2018). Machine Learning Based Localization and Classification with Atomic Magnetometers. Physical Review Letters, 120 (3), doi:10.1103/PhysRevLett.120.033204
de Jonge, C.S., Gollifer, R.M., Nederveen, A.J., Atkinson, D., Taylor, S.A., Stoker, J., Menys, A. (2018). Dynamic MRI for bowel motility imaging–how fast and how long?. The British Journal of Radiology, 20170845. doi:10.1259/bjr.20170845
Delpiano, J., Pizarro, L., Peddie, C.J., Jones, M.L., Griffin, L.D., Collinson, L.M. (2018). Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy. Journal of Microscopy, doi:10.1111/jmi.12700
Denholm, R., De Stavola, B., Hipwell, J.H., Doran, S.J., Busana, M.C., Leach, M.O., ...dos-Santos-Silva, I. (2018). Growth Trajectories, Breast Size, and Breast-Tissue Composition in a British Prebirth Cohort of Young Women. AMERICAN JOURNAL OF EPIDEMIOLOGY, 187 (6), 1259-1268. doi:10.1093/aje/kwx358
Denholm, R., De Stavola, B.L., Hipwell, J.H., Doran, S.J., Holly, J.M.P., Folkerd, E., ...Dos-Santos-Silva, I. (2018). Circulating growth and sex hormone levels and breast tissue composition in young nulliparous women. Cancer Epidemiology Biomarkers and Prevention, 27 (12), 1500-1508. doi:10.1158/1055-9965.EPI-18-0036
Devine, W., Giganti, F., Johnston, E., Panagiotaki, E., Punwani, S., Alexander, D., Atkinson, D. (2018). Multi-echo T2 modelling to predict PIRADS 2.0 score.
Devine, W., Giganti, F., Johnston, E., Panagiotaki, E., Punwani, S., Alexander, D.C., Atkinson, D. (2018). Two compartment fitting for Luminal Water Imaging: multi-echo T2 in Prostate Cancer.
Devine, W., Giganti, F., Johnston, E.W., Sidhu, H.S., Panagiotaki, E., Punwani, S., ...Atkinson, D. (2018). Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T2 MR Images. Journal of Magnetic Resonance Imaging, doi:10.1002/jmri.26608
Dikaios, N., Giganti, F., Sidhu, H.S., Appayya, M., Johnston, E., Simmons, L., ...Punwani, S. (2018). Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer. European Radiology, doi:10.1007/s00330-018-5799-y
Donaldson, I.A., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Tranter, P., ...Van Der Meulen, J. (2018). The SmartTarget biopsy trial: a prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and magnetic resonance imaging/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. European Urology, doi:10.1016/j.eururo.2018.08.007
Eiben, B., Tran, E.H., Menten, M.J., Oelfke, U., Hawkes, D.J., McClelland, J.R. (2018). Statistical Motion Mask and Sliding Registration.
Eiben, B., Tran, E.H., Menten, M.J., Wetscherek, A., Hawkes, D.J., Oelfke, U., McClelland, J.R. (2018). Statistical motion masks to identify sliding surfaces for motion models used on an MR-Linac.
Eshaghi, A., Kievit, R.A., Prados, F., Sudre, C., Nicholas, J., Cardoso, M.J., ...Ourselin, S. (2018). Simvastatin effect on disability is mediated by brain atrophy but is independent of cholesterol reduction in secondary progressive multiple sclerosis.
Eshaghi, A., Marinescu, R.V., Young, A.L., Firth, N.C., Prados, F., Cardoso, M.J., ...Brownlee, W.J. (2018). Progression of regional grey matter atrophy in multiple sclerosis. BRAIN, 141 1665-1677. doi:10.1093/brain/awy088
Eshaghi, A., Prados Carrasco, F., Brownlee, W., Altmann, D.R., Tur Gomez, C., Cardoso, M.J., ...de Stefano, N. (2018). Deep gray matter volume loss drives disability worsening in multiple sclerosis. Annals of Neurology, doi:10.1002/ana.25145
Evans, V., Torrealdea, F., Rega, M., Kim, M., Brizmohun, M., Latifoltojar, A., ...Atkinson, D. (2018). Chemical Exchange Saturation Transfer imaging of prostate cancer at 3T: Repeatability, and initial results of an acquisition and multi-pool analysis protocol.
Fairbrass, A., Firman, M., Williams, C., Brostow, G., Titheridge, H., Jones, K.E. (2018). CityNet - Deep Learning Tools for Urban Ecoacoustic Assessment. .
Farina, A., Betcke, M., Bassi, A., Valentini, G., Arridge, S., D'Andrea, C. (2018). Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection.
Firth, N.C., Startin, C.M., Hithersay, R., Hamburg, S., Wijeratne, P.A., Mok, K.Y., ...Strydom, A. (2018). Aging related cognitive changes associated with Alzheimer's disease in Down syndrome. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.571
Gollifer, R., Menys, A., Plumb, A., Vos, F., Stoker, J., Taylor, S., Atkinson, D. (2018). MRI assessed small bowel dysmotility and its relationship with patient reported symptoms: An exploration of automated vs subjective assessment techniques.
Gollifer, R.M., Menys, A., Makanyanga, J., Puylaert, C.A., Vos, F.M., Stoker, J., ...Taylor, S.A. (2018). Relationship between MRI quantified small bowel motility and abdominal symptoms in Crohn’s disease patients—a validation study. The British Journal of Radiology, 20170914. doi:10.1259/bjr.20170914
Grussu, F., Battiston, M., Veraart, J., Schneider, T., Cohen-Adad, J., Cardoso, M.J., ...Wheeler-Kingshott, C. (2018). A unified signal readout improves denoising of multi-modal spinal cord MRI.
Grussu, F., Ianus, A., Tur Gomez, C., Prados Carrasco, F., Schneider, T., Kaden, E., ...Alexander, D.C. (2018). Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord. Magnetic Resonance in Medicine, doi:10.1002/mrm.27463
Grussu, F., Veraart, J., Battiston, M., Schneider, T., Cohen-Adad, J., Cardoso, M.J., ...Novikov, D.S. (2018). Magnitude versus complex-valued images for spinal cord diffusion MRI: which one is best?.
Hauptmann, A., Arridge, S., Lucka, F., Muthurangu, V., Steeden, J.A. (2018). Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning–proof of concept in congenital heart disease. Magnetic Resonance in Medicine, doi:10.1002/mrm.27480
Hauptmann, A., Cox, B., Lucka, F., Huynh, N., Betcke, M., Beard, P., Arridge, S. (2018). Approximate k-space models and deep learning for fast photoacoustic reconstruction.
Hauptmann, A., Lucka, F., Betcke, M.M., Huynh, N., Adler, J., Cox, B.T., ...Arridge, S.R. (2018). Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Transactions on Medical Imaging, 37 1382-1393. doi:10.1109/TMI.2018.2820382
Hutter, J., Slator, P., Jackson, L., Dos Santos Gomes, A., Ho, A., Story, L., ...Alexander, D. (2018). Multi-modal functional MRI to explore placental function over gestation. Magnetic Resonance in Medicine, doi:10.1002/mrm.27447
Ianuş, A., Jespersen, S.N., Duarte, T.S., Alexander, D.C., Drobnjak, I., Shemesh, N. (2018). Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain.. Neuroimage, doi:10.1016/j.neuroimage.2018.08.034
Jaccard, N., Rogers, T., Morton, E.J., Griffin, L.D. (2018). Automated detection of smuggled high-risk security threats using Deep Learning.
Jha, A.K., Zhu, Y., Arridge, S., Wong, D.F., Rahmim, A. (2018). Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging. BIOMEDICAL OPTICS EXPRESS, 9 (4), 1389-1407. doi:10.1364/BOE.9.001389
Jones, D.K., Alexander, D.C., Bowtell, R., Cercignani, M., Dell'Acqua, F., McHugh, D.J., ...Rudrapatna, U.S. (2018). Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage, doi:10.1016/j.neuroimage.2018.05.047
Kakkar, L., Bennett, O., Siow, B., Richardson, S., Ianus, A., Quick, T., ...Drobnjak, I. (2018). Low frequency oscillating gradient spin-echo sequences improve sensitivity to axon diameter: An experimental study in viable nerve tissue. NeuroImage, doi:10.1016/j.neuroimage.2017.07.060
Klaser, K., Markiewicz, P.J., Ranzini, M., Li, W., Modat, M., Hutton, B., ...Ourselin, S. (2018). Deep boosted regression for MR to CT synthesis.
Kowalik, G., Steeden, J., Atkinson, D., Montalt-Tordera, J., Mortenson, K., Muthurangu, V. (2018). Golden ratio stack of spirals for flexible angiographic imaging: Proof of concept in congenital heart disease. Magnetic Resonance in Medicine, doi:10.1002/mrm.27353
Kuzhagaliyev, T., Clancy, N.T., Janatka, M., Tchaka, K., Vasconcelos, F., Clarkson, M.J., ...Stoyanov, D. (2018). Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas..
Kuzhagaliyev, T., Clancy, N.T., Janatka, M., Tchaka, K., Vasconcelos, F., Clarkson, M.J., ...Stoyanov, D. (2018). Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas.. .
Leeuwia, A., Smith, L., Melbourne, A., Hughes, A., Richards, M., Prins, N., ...Jager, R. (2018). Cerebral blood flow and cognitive functioning in a community-based, multi-ethnic cohort: The SABRE study. Frontiers in Aging Neuroscience, doi:10.3389/fnagi.2018.00279
Levin, E.A., Morgan, R.M., Griffin, L.D., Jones, V.J. (2018). A Comparison of Thresholding Methods for Forensic Reconstruction Studies Using Fluorescent Powder Proxies for Trace Materials. Journal of Forensic Sciences, doi:10.1111/1556-4029.13938
Lorenzi, M., Altmann, A., Gutman, B., Wray, S., Arber, C., Hibar, D., ...Thompson, P. (2018). Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease: evidence from functional prioritization in imaging-genetics. Proceedings of the National Academy of Sciences,
Lucka, F., Nam, H., Betcke, M., Zhang, E., Beards, P., Cox, B., Arridge, S. (2018). Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation. SIAM journal on imaging sciences, 11 (4), 2224-2253. doi:10.1137/18M1170066
Mac Aodha, O., Gibb, R., Barlow, K.E., Browning, E., Firman, M., Freeman, R., ...Newson, S.E. (2018). Bat Detective - Deep learning tools for bat acoustic signal detection. PLoS Computational Biology,
Manber, R., Thielemans, K., Hutton, B.F., Wan, S., Fraioli, F., Barnes, A., ...Atkinson, D. (2018). Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR with a Joint PET/MR Predictive Motion Model.. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, doi:10.2967/jnumed.117.191460
Marinescu, R.V., Oxtoby, N.P., Young, A.L., Bron, E.E., Toga, A.W., Weiner, M.W., ...Alexander, D.C. (2018). TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease. arXiv,
Melbourne, A., Aughwane, R., Sokolska, M., Owen, D., Kendall, G., Flouri, D., ...Vercauteren, T. (2018). Separating fetal and maternal placenta circulations using multiparametric MRI.. Magnetic Resonance in Medicine, doi:10.1002/mrm.27406
Melbourne, A., Pratt, R., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., ...David, A. (2018). Placental Insufficiency Investigated with Multi-compartment Placental MRI.
Menys, A., Hoad, C., Spiller, R., Scott, M., Atkinson, D., Marciani, L., Taylor, S.A. (2018). Spatio-temporal mapping of gastrointestinal motility using MRI and computer post-processing: A proof of concept study.
Menys, A., Puylaert, C., Tutein Nolthenius, C.E., Plumb, A.A., Makanyanga, J., Tielbeek, J., ...Atkinson, D. (2018). Quantified Terminal Ileal Motility during MR Enterography as a Biomarker of Crohn Disease Activity: Prospective Multi-Institution Study.. Radiology, 180100. doi:10.1148/radiol.2018180100
Modi, S., Higgs, N.F., Sheehan, D., Griffin, L.D., Kittler, J.T. (2018). Quantum dot conjugated nanobodies for multiplex imaging of protein dynamics at synapses. Nanoscale, doi:10.1039/c7nr09130c
Nguyen, M., Sun, N., Alexander, D.C., Feng, J., Thomas Yeo, B.T. (2018). Modeling Alzheimer's disease progression using deep recurrent neural networks.
Olivier, J., Stavrinides, V., Kay, J., Freeman, A., Pye, H., Ahmed, Z., ...Kanthabalan, A. (2018). Immunohistochemical biomarker validation in highly selective needle biopsy microarrays derived from mpMRI‐characterized prostates. The Prostate, doi:10.1002/pros.23698
Oxtoby, N., Young, A.L., Cash, D.M., Benzinger, T.L.S., Fagan, A.M., Morris, J.C., ...Alexander, D.C. (2018). Data-driven models of dominantly-inherited Alzheimer's disease progression. Brain, doi:10.1093/brain/awy050
Papadimitriou, K., Dempsey, L.A., Hebden, J.C., Arridge, S.R., Powell, S. (2018). A spread spectrum approach to time-domain near-infrared diffuse optical imaging using inexpensive optical transceiver modules. Biomedical Optics Express, doi:10.1364/BOE.9.002648
Papoutsaki, M., Sidhu, H., Dikaios, N., Atkinson, D., Beale, T., Morley, S., ...Punwani, S. (2018). Pre-treatment intra- and inter- voxel magnetic resonance diffusion heterogeneity correlates with chemoradiotherapy treatment outcome of patients with head and neck squamous cell carcinoma.
Parker, T.D., Slattery, C.F., Zhang, J., Nicholas, J.M., Paterson, R.W., Foulkes, A.J.M., ...Cash, D.M. (2018). Cortical microstructure in young onset Alzheimer's disease using neurite orientation dispersion and density imaging. Human Brain Mapping, doi:10.1002/hbm.24056
Pratt, R., Melbourne, A., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., ...Ourselin, S. (2018). Spatial Vascular Heterogeneity in the Normal Placenta Assessed with Multicompartment Placental MRI.
Pratt, R., Sokolska, M.J., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., ...Melbourne, A. (2018). MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency.
Protonotarios, E.D., Griffin, L.D., Johnston, A., Landy, M.S. (2018). A spatial frequency spectral peakedness model predicts discrimination performance of regularity in dot patterns. Vision Research, doi:10.1016/j.visres.2018.06.008
Puylaert, C.A.J., Schüffler, P.J., Naziroglu, R.E., Tielbeek, J.A.W., Li, Z., Makanyanga, J.C., ...Menys, A. (2018). Semiautomatic Assessment of the Terminal Ileum and Colon in Patients with Crohn Disease Using MRI (the VIGOR++ Project).. Academic Radiology, doi:10.1016/j.acra.2017.12.024
Quan, K., Jacob, J., Shipley, R.J., Hawkes, D.J., Hurst, J.R. (2018). Airway tapering in bronchiectatic and healthy airways.
Quan, K., Shipley, R., Tanno, R., McPhillips, G., Vavourakis, V., Edwards, D., ...Hawkes, D. (2018). Tapering Analysis of Airways with Bronchiectasis.
Ramalhinho, J., Robu, M.R., Thompson, S.A., Gurusamy, K., Davidson, B.R., Hawkes, D.J., ...Clarkson, M.J. (2018). A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images. International Journal of Computer Assisted Radiology and Surgery, 13 1177-1186. doi:10.1007/s11548-018-1799-2
Ricciardi, A., Grussu, F., Brownlee, W., Kanber, B., Prados Carrasco, F., Collorone, S., ...Ciccarelli, O. (2018). Biophysically meaningful MRI features for accurate classification of multiple sclerosis phenotypes.
Ricciardi, A., Grussu, F., Samson, R., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2018). Reconstruction of quantitative proton density maps from routine clinical data.
Roberts, T., Hyare, H., Hipwell, B., Ianus, A., Breen-norris, J., Panagiotaki, E., ...Brandner, S. (2018). QUANTIFICATION OF TUMOUR MICROSTRUCTURE IN LOW AND HIGH-GRADE BRAIN TUMOURS USING VERDICT MRI: AN INITIAL FEASIBILITY STUDY.
Robu, M.R., Ramalhinho, J., Thompson, S.A., Gurusamy, K., Davidson, B., Hawkes, D.J., ...Clarkson, M.J. (2018). Global rigid registration of CT to video in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, 13 947-956.
Sari, H., Erlandsson, K., Marner, L., Law, I., Larsson, H.B.W., Thielemans, K., ...Hutton, B.F. (2018). Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745. EJNMMI Research, 8 doi:10.1186/s13550-018-0412-6
Simmons, L.A.M., Kanthabalan, A., Arya, M., Briggs, T., Barratt, D., Charman, S.C., ...Hu, Y. (2018). Accuracy of transperineal targeted prostate biopsies, both visual-estimation and image-fusion for men needing a repeat biopsy in the PICTURE trial.. The Journal of urology, doi:10.1016/j.juro.2018.07.001
Slator, P., Aughwane, R., Cade, G., Taylor, D., David, A.L., Lewis, R., ...Millischer, A.-.E. (2018). Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches. Placenta, doi:10.1016/j.placenta.2018.10.010
Slator, P., Hutter, J., Ianus, A., Panagiotaki, E., Rutherford, M., Hajnal, J., Alexander, D. (2018). A Framework for Calculating Time-Efficient Diffusion MRI Protocols for Anisotropic IVIM and an Application in the Placenta. In Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F., Tax, C. (Eds.), 2018 MICCAI Workshop on Computational Diffusion MRI (CDMRI’18). Springer.
Slator, P., Hutter, J., Jackson, L., Ianus, A., Dos Santos Gomes, A., Ho, A., ...Rutherford, M. (2018). Optimised B-Values & Gradient Directions for Placental Diffusion MRI.
Slator, P., Hutter, J., Panagiotaki, E., Jackson, L., Dos Santos Gomes, A., Ho, A., ...Rutherford, M. (2018). Exploring Placental Microstructure & Microcirculation Across Gestation with Diffusion MRI.
Slator, P., Hutter, J., Panagiotaki, E., Rutherford, M., Hajnal, J., Alexander, D. (2018). IVIM MRI of the Placenta. In Le Bihan, D., Iima, M., Federau, C., Sigmund, E. (Eds.), Intravoxel Incoherent Motion (IVIM) MRI Principles and Applications. Pan Stanford.
Smith, L., Melbourne, A., Owen, D., Cardoso, M.J., Sudre, C., Tillin, T., ...Ourselin, S. (2018). Cortical Cerebral Blood Flow in Aging: Effects of Haematocrit, Sex and Ethnicity.
Stavrinides, V., Olivier, J., Kay, J., Freeman, A., Ahmed, Z., Pye, H., ...Arya, M. (2018). DISTINCT PROTEIN EXPRESSION PATTERNS FOR COMMON BIOMARKERS IN MALIGNANT AND ADJACENT BENIGN PROSTATE TISSUE: AN IMMUNOHISTOCHEMICAL STUDY ON NEEDLE BIOPSY MICROARRAYS DERIVED FROM AN IMAGING-BASED PATIENT COHORT.
Stikov, N., Alexander, D.C., Pike, G.B. (2018). Neuroimage special issue on microstructure - Editorial. NEUROIMAGE, 182 1-2. doi:10.1016/j.neuroimage.2018.07.061
Sudre, C.H., Anson, B.G., Davagnanamd, I., Schmitt, A., Mendelson, A.F., Prados, F., ...Chaturvedi, N. (2018). Bullseye's representation of cerebral white matter hyperintensities. Journal of Neuroradiology, doi:10.1016/j.neurad.2017.10.001
Sudre, C.H., Smith, L., Atkinson, D., Chaturvedi, N., Ourselin, S., Barkhof, F., ...Cardoso, M.J. (2018). Cardiovascular Risk Factors and White Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans. Journal of the American Heart Association, 7 (21), e010533. doi:10.1161/JAHA.118.010533
Tanay, T., Andrews, J., Griffin, L.D. (2018). Built-in Vulnerabilities to Imperceptible Adversarial Perturbations. [Digital scholarly resource]. Retrieved from: https://arxiv.org/abs/1806.07409
Tanay, T., Griffin, L.D. (2018). A New Angle on L2 Regularization. [Digital scholarly resource]. Retrieved from: https://arxiv.org/abs/1806.11186
Tariq, M., Ianus, A., Kurniawan, N., Cowin, G., Alexander, D., Bourne, R.M., Panagiotaki, E. (2018). Microstructure characterisation of fixed prostate tissue using ultra high-resolution diffusion-weighted MRI.
Tariq, M., Liao, C., Bonet-Carne, E., Plumb, A.A., Rodriguez-Justo, M., Alexander, D.C., ...Panagiotaki, E. (2018). Feasibility of VERDICT-MRI for non-invasive characterisation of rectal cancer microstructure.
Ten Kate, M., Ingala, S., Schwarz, A.J., Fox, N.C., Chételat, G., van Berckel, B.N.M., ...Hill, D. (2018). Secondary prevention of Alzheimer's dementia: neuroimaging contributions. Alzheimer's Research and Therapy, 10 (1), 112. doi:10.1186/s13195-018-0438-z
Thompson, S., Schneider, C., Bosi, M., Gurusamy, K., Ourselin, S., Davidson, B., ...Clarkson, M.J. (2018). In vivo estimation of target registration errors during augmented reality laparoscopic surgery.. Int J Comput Assist Radiol Surg, doi:10.1007/s11548-018-1761-3
Tick, J., Pulkkinen, A., Lucka, F., Ellwood, R., Cox, B.T., Arridge, S.R., Tarvainen, T. (2018). Photoacoustic image reconstruction in Bayesian framework.
Tick, J., Pulkkinen, A., Lucka, F., Ellwood, R., Cox, B.T., Kaipio, J.P., ...Tarvainen, T. (2018). Three dimensional photoacoustic tomography in Bayesian framework. Journal of the Acoustical Society of America, 144 (4), 2061-2071. doi:10.1121/1.5057109
Torrealdea, F., Hearle, J., Evans, V., Zaiss, M., Carvalho, A., Shankar, A., ...Barnes, A. (2018). APT-CEST post Gadolinium. Should it be avoided? Comparison of pre- & post- Gadolinium CEST on glioma at 3T.
Tran, E.H., Eiben, B., Wetscherek, A., Collins, D.J., Oelfke, U., Meedt, G., ...McClelland, J.R. (2018). Investigation of MRI-derived surrogate signals for modelling respiratory motion on an MRI-Linac.
Tsai, Y.J., Schramm, G., Nuyts, J., Ahn, S., Stearns, C.W., Bousse, A., ...Thielemans, K. (2018). Spatially-variant Strength for Anatomical Priors in PET Reconstruction.
Usman, M., Kakkar, L., Shmueli, K., Arridge, S., Atkinson, D. (2018). An integrated model-based framework for the correction of signal pile-up and translational offsets in prostate diffusion MRI.
Usman, M., Kakkar, L.S., KIRKHAM, A.P.S., Arridge, S.R., Atkinson, D. (2018). Model based reconstruction framework for correction of signal pile-up and geometric distortions in prostate diffusion MRI. Magnetic Resonance in Medicine, doi:10.1002/mrm.27547
Veiga, C., Landau, D., Devaraj, A., Doel, T., Ngai, Y., Hawkes, D., McClelland, J. (2018). Objective CT-Based Imaging Biomarkers of Radiation-Induced Lung Damage.
Veiga, C., Landau, D., Devaraj, A., Doel, T., White, J., Ngai, Y., ...McClelland, J. (2018). Novel CT-based objective imaging biomarkers of long term radiation-induced lung damage. International Journal of Radiation Oncology - Biology - Physics,
Vyas, K.N., Grootendorst, M., Mertzanidou, T., MacHoll, S., Stoyanov, D., Arridge, S.R., Tuch, D.S. (2018). Flexible scintillator autoradiography for tumor margin inspectionusing 18F-FDG.
Wen, J., Zhang, H., Alexander, D.C., Durrleman, S., Routier, A., Rinaldi, D., ...Pasquier, F. (2018). Neurite density is reduced in the presymptomatic phase of C9orf72 disease. Journal of Neurology, Neurosurgery and Psychiatry, doi:10.1136/jnnp-2018-318994
West, K.L., Kelm, N.D., Carson, R.P., Alexander, D.C., Gochberg, D.F., Does, M.D. (2018). Experimental studies of g-ratio MRI in ex vivo mouse brain. NeuroImage, 167 366-371. doi:10.1016/j.neuroimage.2017.11.064
Wijeratne, P.A., Johnson, E.B., Gregory, S., Mohan, A., Sampaio, C., Scahill, R.I., ...Alexander, D.C. (2018). ROBUST BIOMARKERS OF HUNTINGTON'S DISEASE PROGRESSION: OBSERVATIONS FROM THE TRACK-HD, PREDICT-HD AND IMAGE-HD STUDIES.
Wijeratne, P.A., Young, A.L., Oxtoby, N.P., Marinescu, R.V., Firth, N.C., Johnson, E.B., ...Tabrizi, S.J. (2018). An image-based model of brain volume biomarker changes in Huntington's disease. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.558
Wilkinson-Smith, V., Menys, A., Bradley, C., Corsetti, M., Marciani, L., Atkinson, D., ...Spiller, R. (2018). Assessment of Colonic Motility Using Magnetic Resonance Imaging: Reproducibility of a Macrogol Challenge.
Wilkinson-Smith, V., M.e.n.y.s., Bradley, C., Corsetti, M., Marciani, L., Atkinson, D., ...Spiller, R. (2018). Tu1971 - Assessment of Colonic Motility Using Magnetic Resonance Imaging: Reproducibility of a Macrogol Challenge.
Xiao, G., Bonmati, E., Thompson, S., Evans, J., Hipwell, J., Nikitichev, D., ...Davidson, B. (2018). Electromagnetic tracking in image‐guided laparoscopic surgery: Comparison with optical tracking and feasibility study of a combined laparoscope and laparoscopic ultrasound system. Medical Physics, 45 (11), 5094-5104. doi:10.1002/mp.13210
Young, A.L., Marinescu, R.V., Oxtoby, N.P., Bocchetta, M., Yong, K., Firth, N.C., ...Cardoso, J. (2018). Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference. Nat Commun, 9 (1), 4273. doi:10.1038/s41467-018-05892-0

2017

Alexander, D.C., Dyrby, T.B., Nilsson, M., Zhang, H. (2017). Imaging brain microstructure with diffusion MRI: Practicality and applications. NMR in Biomedicine, doi:10.1002/nbm.3841
Alexander, D.C., Zikic, D., Ghosh, A., Tanno, R., Wottschel, V., Zhang, J., ...Zhang, H. (2017). Image quality transfer and applications in diffusion MRI.. Neuroimage, doi:10.1016/j.neuroimage.2017.02.089
Alfaro-Almagro, F., Jenkinson, M., Bangerter, N.K., Andersson, J.L.R., Griffanti, L., Douaud, G., ...Vallee, E. (2017). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.. NeuroImage, doi:10.1016/j.neuroimage.2017.10.034
Andrews, J.T.A., Jaccard, N., Rogers, T.W., Griffin, L.D. (2017). Representation-learning for anomaly detection in complex x-ray cargo imagery.
Arneric, S.P., Cedarbaum, J.M., Khozin, S., Papapetropoulos, S., Hill, D.L., Ropacki, M., ...Gordon, M.F. (2017). Biometric monitoring devices for assessing end points in clinical trials: Developing an ecosystem. Nature Reviews Drug Discovery, 16 (10), 736-. doi:10.1038/nrd.2017.153
Bailey, C., Bourne, R.M., Siow, B., Johnston, E.W., Pye, H., Heavey, S., ...Patel, D. (2017). Validation of VERDICT MRI using fresh and fixed prostate specimens with aligned histological slices.
Bailey, C.E.M., Grussu, F., Siow, B., Mertzanidou, T., Hipwell, J.H., Owen, J., ...Hawkes, D.J. (2017). Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology.
Bastiani, M., Cottaar, M., Dikranian, K., Ghosh, A., Zhang, H., Alexander, D.C., ...Sotiropoulos, S.N. (2017). Improved tractography using asymmetric fibre orientation distributions.. NeuroImage, doi:10.1016/j.neuroimage.2017.06.050
Batalle, D., Hughes, E.J., Zhang, H., Tournier, J.D., Tusor, N., Aljabar, P., ...Nosarti, C. (2017). Early development of structural networks and the impact of prematurity on brain connectivity.. Neuroimage, doi:10.1016/j.neuroimage.2017.01.065
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., ...Wheeler-Kingshott, C. (2017). Optimal framework for quantitative Magnetization Transfer imaging of small structures.
Battiston, M., Grussu, F., Ianus, A., Schneider, T., Prados, F., Fairney, J., ...Wheeler-Kingshott, C. (2017). An optimized framework for quantitative Magnetization Transfer imaging of the cervical spinal cord in vivo. Magnetic Resonance in Medicine, doi:10.1002/mrm.26909
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2017). Data Driven Respiratory signal detection in PET taking advantage of time-of-flight Data.
Bertolli, O., Arridge, S., Wollenweber, S.D., Stearns, C.W., Hutton, B.F., Thielemans, K. (2017). Sign determination methods for the respiratory signal in data-driven PET gating. PHYSICS IN MEDICINE AND BIOLOGY, 62 (8), doi:10.1088/1361-6560/aa6052
Betcke, M.M., Cox, B.T., Huynh, N., Zhang, E.Z., Beard, P.C., Arridge, S.R. (2017). Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography. IEEE Transactions on Computational Imaging, 3 (4), 710-721. doi:10.1109/TCI.2017.2706029
Bourne, R.M., Bailey, C.E.M., Johnston, E.W., Pye, H., Heavey, S., Whitaker, H., ...Sridhar, A. (2017). Apparatus for histological validation of in vivo and ex vivo magnetic resonance imaging of the human prostate. Frontiers in Oncology, doi:10.3389/fonc.2017.00047
Bousse, A., Manber, R., Holman, B.F., Atkinson, D., Arridge, S., Ourselin, S., ...Thielemans, K. (2017). Evaluation of a direct motion estimation/correction method in respiratory-gated PET/MRI with motion-adjusted attenuation.. Medical physics, doi:10.1002/mp.12253
Bragman, F.J.S., McClelland, J.R., Jacob, J., Hurst, J.R., Hawkes, D.J. (2017). Manifold Learning of COPD.
Bragman, F., McClelland, J., Jacob, J., Hurst, J., Hawkes, D. (2017). Pulmonary Lobe Segmentation with Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Transactions on Medical Imaging, 1. doi:10.1109/TMI.2017.2688377
Caldwell, M., Ransley, M., Rogers, T.W., Griffin, L.D. (2017). Transferring X-ray based automated threat detection between scanners with different energies and resolution.
Calvert, N., Helo, Y., Mertzanidou, T., Tuch, D.S., Arridge, S., Stoyanov, D. (2017). A Simulation Study of Spectral Cerenkov Luminescence Imaging for Tumour Margin Estimation.
Chouhan, M., Menys, A., Bainbridge, A., Atkinson, D., Punwani, S., Mookerjee, R., Taylor, S. (2017). Cardiac-Induced Liver Deformation as a Measure of Liver Stiffness: Normal Volunteer Reproducibility and Post-Prandial Stress Studies.
Cochran, J.M., Busch, D.R., Ban, H.Y., Kavuri, V.C., Schweiger, M.J., Arridge, S.R., Yodh, A.G. (2017). Multi-modal diffuse optical techniques for breast cancer neoadjuvant chemotherapy monitoring (Conference Presentation).
de Jonge, C.S., Gollifer, R.M., Nederveen, A.J., Atkinson, D., Taylor, S.A., Stoker, J., Menys, A. (2017). Dynamic MRI for bowel motility imaging: How fast and how long?.
de Jonge, C.S., Gollifer, R.M., Nederveen, A.J., Atkinson, D., Taylor, S.A., Stoker, J., Menys, A. (2017). Dynamic MRI for bowel motility imaging – how fast and how long?.
Devine, W., Johnston, E., Bonet-Carne, E., Punwani, S., Alexander, D., Atkinson, D. (2017). Linking a Multi-Compartment T2 Model to Diffusion Microstructure in Prostate Cancer.
Dikaios, N., Atkinson, D., Tudisca, C., Purpura, P., Forster, M., Ahmed, H., ...Punwani, S. (2017). A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis. Computerized Medical Imaging and Graphics, 56 1-10. doi:10.1016/j.compmedimag.2017.01.003
Dikaios, N., Daniels, C., Gallagher, F., O'Callaghan, J., Atkinson, D., Punwani, S. (2017). Quantitative Analysis of Hyperpolarized [1-13C]pyruvate Metabolic Kinetics Using Bayesian Inference Algorithms.
Donaldson, I., Hamid, S., Barratt, D., Hu, Y., Rodell, R., Villarini, B., ...McCartan, N. (2017). THE SMARTTARGET BIOPSY TRIAL: A PROSPECTIVE PAIRED BLINDED TRIAL WITH RANDOMISATION TO COMPARE VISUAL-ESTIMATION AND IMAGE-FUSION TARGETED PROSTATE BIOPSIES.
Doran, S.J., Hipwell, J.H., Denholm, R., Eiben, B., Busana, M., Hawkes, D.J., ...Dos Santos Silva, I. (2017). Breast MRI segmentation for density estimation: Do different methods give the same results and how much do differences matter?. Medical physics, doi:10.1002/mp.12320
Eshaghi, A., Marinescu, R.V., Young, A., Firth, N., Prados, F., Cardoso, M.J., ...Brownlee, W. (2017). Progression of regional grey matter atrophy in multiple sclerosis.
Farina, A., Betcke, M., Di Sieno, L., Bassi, A., Ducros, N., Pifferi, A., ...D 'Andrea, C. (2017). Diffuse Optical Tomography based on time-resolved compressive sensing.
Farina, A., Betcke, M., di Sieno, L., Bassi, A., Ducros, N., Pifferi, A., ...D'Andrea, C. (2017). Multiple-view diffuse optical tomography system based on time-domain compressive measurements. OPTICS LETTERS, 42 (14), 2822-2825. doi:10.1364/OL.42.002822
Farina, A., Betcke, M., Ducros, N., di Sieno, L., Bassi, A., Pifferi, A., ...D'Andrea, C. (2017). Multiple-view time-resolved diffuse optical tomography based on structured illumination and compressive detection.
Farina, A., Tagliabue, S., Di Sieno, L., Martinenghi, E., Durduran, T., Arridge, S., ...Dalla Mora, A. (2017). Time-Domain Functional Diffuse Optical Tomography System Based on Fiber-Free Silicon Photomultipliers. Applied Sciences, 7 (12), doi:10.3390/app7121235
Fast, M.F., Eiben, B., Menten, M.J., Wetscherek, A., Hawkes, D.J., McClelland, J.R., Oelfke, U. (2017). Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study. Radiotherapy and Oncology, doi:10.1016/j.radonc.2017.09.013
Ferizi, U., Scherrer, B., Schneider, T., Alipoor, M., Eufracio, O., Fick, R.H.J., ...Rivera, M. (2017). Diffusion MRI microstructure models with in vivo human brain Connectome data: Results from a multi-group comparison. NMR in Biomedicine, doi:10.1002/nbm.3734
Fonseca, M., Malone, E., Lucka, F., Ellwood, R., An, L., Arridge, S., ...Cox, B. (2017). Three-dimensional photoacoustic imaging and inversion for accurate quantification of chromophore distributions.
Franco, G., Li, H., Kaden, E., Alexander, D.C., Gore, J.C., Dortch, R., ...Bagnato, F. (2017). Probing myelin and axonal integrity in multiple sclerosis brains.
Ganepola, T., Nagy, Z., Alexander, D.C., Sereno, M.I. (2017). An unsupervised group average cortical parcellation using diffusion MRI to probe cytoarchitecture.
Ganepola, T., Nagy, Z., Ghosh, A., Papadopoulo, T., Alexander, D.C., Sereno, M.I. (2017). Using diffusion MRI to discriminate areas of cortical grey matter.. NeuroImage, doi:10.1016/j.neuroimage.2017.12.046
Gibson, E., Robu, M.R., Thompson, S., Edwards, P., Schneider, C., Gurusamy, K., ...Clarkson, M.J. (2017). Deep residual networks for automatic segmentation of laparoscopic videos of the liver.
Godard, C., Mac Aodha, O., Brostow, G.J. (2017). Unsupervised Monocular Depth Estimation with Left-Right Consistency.
Gollifer, R., Menys, A., Makanyanga, J., Puylaert, C., Vos, F., Stoker, J., ...Taylor, S. (2017). Analysis of Motility in Apparently Normal Small Bowel – Relationship to Crohn’s Symptoms.
Gollifer, R., Menys, A., Plumb, A., Vos, F.M., Stoker, J., Taylor, S.A., Atkinson, D. (2017). Magnetic resonance imaging assessed small bowel dysmotility and its relationship with patient reported symptoms: An exploration of automated vs subjective assessment techniques.
Griffin, L.D. (2017). The Atlas Structure of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2017.2777856
Griffin, L., Mylonas, D. (2017). Why so Much Talk About Red?.
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). A unified signal readout for reproducible multimodal characterisation of brain microstructure.
Grussu, F., Battiston, M., Prados Carrasco, F., Schneider, T., Kaden, E., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). Whole-brain macromolecular tissue volume mapping: a comparison of imaging readouts at 3 Tesla.
Grussu, F., Ianus, A., Tur Gomez, C., Prados Carrasco, F., Schneider, T., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2017). Origin of the time dependence of the diffusion-weighted signal in spinal cord white matter.
Grussu, F., Schneider, T., Tur, C., Yates, R.L., Tachrount, M., Ianuş, A., ...Alexander, D.C. (2017). Neurite dispersion: A new marker of multiple sclerosis spinal cord pathology?. Annals of Clinical and Translational Neurology, doi:10.1002/acn3.445
Hampshire, T., Menys, A., Jaffer, A., Bhatnagar, G., Punwani, S., Atkinson, D., ...Taylor, S.A. (2017). A Probabilistic Method for Estimation of Bowel Wall Thickness in MR Colonography.. PLoS One, 12 (1), e0168317. doi:10.1371/journal.pone.0168317
Han, L., Dong, H., McClelland, J.R., Han, L., Hawkes, D.J., Barratt, D.C. (2017). A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs. MEDICAL IMAGE ANALYSIS, 39 87-100. doi:10.1016/j.media.2017.04.003
Hauptmann, A., Lucka, F., Betcke, M.M., Huynh, N., Cox, B.T., Beard, P.C., ...Arridge, S.R. (2017). Model based learning for accelerated, limited-view 3D photoacoustic tomography.. .
Huynh, N., Lucka, F., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2017). Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging.
Ianuş, A., Shemesh, N., Alexander, D.C., Drobnjak, I. (2017). Measuring microscopic anisotropy with diffusion magnetic resonance: From material science to biomedical imaging. In Mathematics and Visualization. (pp. 229-255). .
Ilisescu, C., Kanaci, A., Romagnoli, M., Campbell, N.D.F., Brostow, G.J. (2017). Responsive Action-based Video Synthesis.
Jaccard, N., Rogers, T.W., Morton, E.J., Griffin, L.D. (2017). Detection of concealed cars in complex cargo X-ray imagery using Deep Learning. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 25 (3), 323-339. doi:10.3233/XST-16199
Jaccard, N., Szita, N., Griffin, L.D. (2017). Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 5 (5), 359-367. doi:10.1080/21681163.2015.1016243
Jacobs, J.G., Brostow, G.J., Freeman, A., Alexander, D.C., Panagiotaki, E. (2017). Deep Learning for Quantifiable Characterisation of Prostate Histology with Limited Data.
Jacobs, J.G., Brostow, G.J., Freeman, A., Alexander, D.C., Panagiotaki, E. (2017). Detecting and Classifying Nuclei on a Budget.
Johnston, E., Antonelli, M., Dikaios, N., Ourselin, S., Atkinson, D., Punwani, S. (2017). Improving the Reproducibility of Quantitative Imaging Metrics for Multicentre Multiparametric Prostate MRI Trials.
Johnston, E., Bailey, C., Bonet-Carne, E., Pye, H., Heavey, S., Patel, D., ...Devine, W. (2017). Why is the Peripheral Zone of the Normal Human Prostate High in ADC Value and T2-Weighted Signal Intensity?.
Johnston, E., Bonet-Carne, E., Pye, H., Clemente, J., Yvernault, B., Patel, D., ...Sridhar, A. (2017). Microstructural Diffusion-Weighted (VERDICT) MRI Metrics are Repeatable and Show Potential at Characterising Gleason 7 Prostate Cancer Non-Invasively.
Jones, G., Clancy, N., Helo, Y., Arridge, S., Elson, D., Stoyanov, D. (2017). Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion from RGB Images.. IEEE Trans Med Imaging, doi:10.1109/TMI.2017.2665627
Jones, G., Clancy, N.T., Du, X., Robu, M., Arridge, S.R., Elson, D.S., Stoyanov, D. (2017). Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition.. MICCAI (2), 10434 100-108. doi:10.1007/978-3-319-66185-8_12
Kakkar, L.S., Atkinson, D., Chan, R.W., Siow, B., Ianus, A., Drobnjak, I. (2017). Sensitivity of OGSE activeax to microstructural dimensions on a clinical scanner.
Keenan, K.E., Ainslie, M., Barker, A.J., Boss, M.A., Cecil, K.M., Charles, C., ...Finn, P. (2017). Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom. Magnetic Resonance in Medicine, 79 (1), 48-61. doi:10.1002/mrm.26982
Kelly, C.J., Makropoulos, A., Cordero-Grande, L., Hutter, J., Price, A., Hughes, E., ...Kulkarni, S. (2017). Impaired development of the cerebral cortex in infants with congenital heart disease is correlated to reduced cerebral oxygen delivery. SCIENTIFIC REPORTS, 7 doi:10.1038/s41598-017-14939-z
Kowalik, G., Steeden, J., Atkinson, D., Mortensen, K., Muthurangu, V. (2017). Golden Step, Golden Angle, Spiral-Cartesian Imaging for Flexible Gated Three-Dimensional Angiography.
Lacher, R.M., V.a.s.c.o.n.c.e.l.o.s., B.i.s.h.o.p., W.i.l.l.i.a.m.s., K.e.s.h.t.g.a.r., H.a.w.k.e.s., ......S.t.o.y.a.n.o.v. (2017). A comparative study of breast surface reconstruction for aesthetic outcome assessment.
Lorenzi, M., Filippone, M., Frisoni, G.B., Alexander, D.C., Ourselin, S., Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2017). Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.. NeuroImage, doi:10.1016/j.neuroimage.2017.08.059
Lorenzi, M., Gutman, B., Thompson, P.M., Alexander, D.C., Ourselin, S., Altmann, A. (2017). Secure multivariate large-scale multi-centric analysis through on-line learning: an imaging genetics case study.
Marinescu, R.V., Eshaghi, A., Lorenzi, M., Young, A.L., Oxtoby, N.P., Garbarino, S., ...Alexander, D.C. (2017). A vertex clustering model for disease progression: Application to cortical thickness images.
Markiewicz, P.J., Ehrhardt, M., Erlandsson, K., Noonan, P.J., Barnes, A., Schott, J.M., ...Ourselin, S. (2017). NiftyPET: A high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis. Neuroinformatics, doi:10.1007/s12021-017-9352-y
McClelland, J.R., Modat, M., Arridge, S., Grimes, H., D'Souza, D., Thomas, D., ...Collins, D. (2017). A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.. Physics in Medicine and Biology, doi:10.1088/1361-6560/aa6070
Melbourne, A., Pratt, R., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., ...David, A. (2017). DECIDE: Diffusion-RElaxation Combined Imaging for Detailed Placental Evaluation.
Melbourne, A., Pratt, R., Sokolska, M., Owen, D., Bainbridge, A., Atkinson, D., ...David, A. (2017). SEPARATION OF FETAL AND MATERNAL CIRCULATIONS USING MULTI-MODAL MRI.
Menys, A., Keszthelyi, D., Fitzke, H., Fikree, A., Atkinson, D., Aziz, Q., Taylor, S. (2017). A magnetic resonance imaging study of gastric motor function in patients with dyspepsia associated with Ehlers-Danlos Syndrome-Hypermobility Type: A feasibility study. Neurogastroenterology and Motility, 29 (9), doi:10.1111/nmo.13090
Mertzanidou, T., Hipwell, J.H., Reis, S., Hawkes, D.J., Bejnordi, B.E., Dalmis, M., ...Karssemeijer, N. (2017). 3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging. Med Phys, doi:10.1002/mp.12077
Mylonas, D., Andrews, J., Griffin, L. (2017). Variability in Free Colour Naming Across the Full Colour Gamut.
Nedjati-Gilani, G.L., Schneider, T., Hall, M.G., Cawley, N., Hill, I., Ciccarelli, O., ...Alexander, D.C. (2017). Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage, 150 119-135. doi:10.1016/j.neuroimage.2017.02.013
Oxtoby, N.P., Alexander, D.C. (2017). Imaging plus X: multimodal models of neurodegenerative disease.. Current opinion in neurology, doi:10.1097/wco.0000000000000460
Oxtoby, N.P., Garbarino, S., Firth, N.C., Warren, J.D., Schott, J.M., Alexander, D.C. (2017). Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's Disease. FRONTIERS IN NEUROLOGY, 8 doi:10.3389/fneur.2017.00580
Palmer, L., Bialkowski, A., Brostow, G.J., Ambeck-Madsen, J., Lavie, N. (2017). Predicting the Perceptual Demands of Urban Driving with Video Regression.
Pavisic, I.M., Firth, N.F., Parsons, S., Martinez Rego, D., Shakespeare, T.J., Yong, K.X.X., ...Macpherson, K. (2017). Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions. Frontiers in Neurology,
Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., ...Counsell, S.J. (2017). A tract-specific approach to assessing white matter in preterm infants.. NeuroImage, doi:10.1016/j.neuroimage.2017.04.057
Powell, S., Hochuli, R., Arridge, S. (2017). Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography.
Pratt, R., Melbourne, A., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., ...David, A.L. (2017). OP05.08: Novel placental evaluation using multimodal MRI.
Primativo, S., Clark, C., Yong, K.X.X., Firth, N.C., Nicholas, J., Alexander, D., ...Crutch, S.J. (2017). Eyetracking metrics reveal impaired spatial anticipation in behavioural variant frontotemporal dementia. Neuropsychologia, 106 328-340. doi:10.1016/j.neuropsychologia.2017.10.014
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2017). Estimation and uncertainty quantification of optical properties directly from the photoacoustic time series.
Ramalhinho, J., Robu, M., Thompson, S., Edwards, P., Schneider, C., Gurusamy, K., ...Clarkson, M.J. (2017). Breathing motion compensated registration of laparoscopic liver ultrasound to CT.
Reed, Z., Newell, A., Oliver, B., Griffin, L., Davis, O. (2017). Early handwriting style has both genetic and environmental origins.
Reis, S., Gazinska, P., Hipwell, J., Mertzanidou, T., Naidoo, K., Williams, N., ...Hawkes, D.J. (2017). Automated Classification of Breast Cancer Stroma Maturity from Histological Images.. IEEE Trans Biomed Eng, doi:10.1109/TBME.2017.2665602
Rickman, J., Duellberg, C., Cade, N.I., Griffin, L.D., Surrey, T. (2017). Steady-state EB cap size fluctuations are determined by stochastic microtubule growth and maturation. Proceedings of the National Academy of Sciences of the United States of America, 114 (13), 3427-3432. doi:10.1073/pnas.1620274114/
Roberts, T., Hyare, H., Hipwell, J., Ianus, A., Breen-Norris, J., Panagiotaki, E., ...Brandner, S. (2017). Quantifying Microstructure in Low and High-Grade Brain Tumours Using VERDICT MRI.
Robu, M.R., Edwards, P., Ramalhinho, J.A., Thompson, S., Davidson, B., Hawkes, D., ...Clarkson, M.J. (2017). Intelligent viewpoint selection for efficient CT to video registration in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, 1-10. doi:10.1007/s11548-017-1584-7
Rogers, T.W., Jaccard, N., Griffin, L.D. (2017). A deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery.
Rogers, T.W., Jaccard, N., Protonotarios, E.D., Ollier, J., Morton, E.J., Griffin, L.D. (2017). Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines.
Rogers, T.W., Ollier, J., Morton, E.J., Griffin, L.D. (2017). Measuring and correcting wobble in large-scale transmission radiography. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 25 (1), 57-77. doi:10.3233/XST-160607
Rojas Villabona, A., Benedetta Pizzini, F., Solbach, T., Ricciardi, G., Sokolska, M., Lemonis, C., ...Foroni, R. (2017). Triple Magnetic Resonance Angiography (Triple-MRA) for Confirmation of Obliteration Following Gamma Knife Radiosurgery for Arterial-Venous Malformations of the Brain.
Rojas Villabona, A., Sokolska, M., De Vita, E., Murphy, M., Solbach, T., Grieve, J., ...Atkinson, D. (2017). Triple Magnetic Resonance Angiography (Triple-MRA) for Planning of Gamma Knife Radiosurgery of Brain Arteriovenous Malformations.
Schneider, C., Johnson, S.P., Gurusamy, K., Cook, R.J., Desjardins, A.E., Hawkes, D.J., ...Walker-Samuel, S. (2017). Identification of liver metastases with probe-based confocal laser endomicroscopy at two excitation wavelengths.. Lasers Surg Med, doi:10.1002/lsm.22617
Shinoda, S., Worrall, D.E., Brostow, G.J. (2017). Virtual Adversarial Ladder Networks For Semi-supervised Learning.
Simmons, L.A.M., Kanthabalan, A., Arya, M., Briggs, T., Barratt, D., Charman, S.C., ...Hu, Y. (2017). The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy. British Journal of Cancer, doi:10.1038/bjc.2017.57
Slator, P., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A.N., Panagiotaki, E., ...Alexander, D.C. (2017). Placenta microstructure and microcirculation imaging with diffusion MRI. Magnetic Resonance in Medicine, doi:10.1002/mrm.27036
Slator, P.J., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A., Panagiotaki, E., ...Alexander, D.C. (2017). Quantifying Placental Microcirculation and Microstructure with Anisotropic IVIM Models.
Slator, P.J., Hutter, J., McCabe, L., Dos Santos Gomes, A., Price, A., Rutherford, M., ...Alexander, D. (2017). Comparison of Diffusion Imaging Microstructure Models of the Human Placenta at 3T.
Slattery, C.F., Zhang, J., Paterson, R.W., Foulkes, A.J.M., Carton, A., Macpherson, K., ...Toussaint, N. (2017). ApoE influences regional white-matter axonal density loss in Alzheimer's disease. Neurobiology of Aging, 57 8-17. doi:10.1016/j.neurobiolaging.2017.04.021
Tagliabue, S., Di Sieno, L., Farina, A., Martinenghi, E., Arridge, S., Martelli, F., ...Dalla Mora, A. (2017). Near-infrared, time-resolved optical tomography with a novel compact system.
Tanno, R., Worrall, D.E., Ghosh, A., Kaden, E., Sotiropoulos, S.N., Criminisi, A., Alexander, D.C. (2017). Bayesian image quality transfer with CNNs: Exploring uncertainty in dMRI super-resolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10433 LNCS 611-619. doi:10.1007/978-3-319-66182-7_70
Tarvainen, T., Pulkkinen, A., Cox, B.T., Arridge, S.R. (2017). Utilising the radiative transfer equation in quantitative photoacoustic tomography.
Thompson, S., Meurer, Y., Edwards, E., Ramalhinho, J., Robu, M.R., Stoyanov, D., ...Clarkson, M.J. (2017). On pattern selection for laparoscope calibration.
Tsai, Y.J., Bousse, A., Ehrhardt, M.J., Stearns, C.W., Ahn, S., Hutton, B., ...Thielemans, K. (2017). Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2786865
Tsai, Y.J., Bousse, A., Stearns, C.W., Ahn, S., Hutton, B.F., Arridge, S., Thielemans, K. (2017). Performance improvement and validation of a new MAP reconstruction algorithm.
Vavourakis, V., Wijeratne, P.A., Shipley, R., Loizidou, M., Stylianopoulos, T., Hawkes, D.J. (2017). A Validated Multiscale In-Silico Model for Mechano-sensitive Tumour Angiogenesis and Growth.. PLOS Computational Biology, 13 (1), e1005259. doi:10.1371/journal.pcbi.1005259
Veiga, C.I.C.V.D., Landau, D., McClelland, J., Ledermann, J., Hawkes, D., Janes, S., Devaraj, A. (2017). Long term radiological features of radiation-induced lung damage. Radiotherapy and Oncology, doi:10.1016/j.radonc.2017.11.003
Veiga, C., Landau, D., Devaraj, A., Doel, T., Hawkes, D., McClelland, J. (2017). Quantification of Radiation Therapy-Induced Diaphragmatic Changes Using Serial CT Imaging.
Wijeratne, P.A., Hipwell, J.H., Hawkes, D.J., Stylianopoulos, T., Vavourakis, V. (2017). Multiscale biphasic modelling of peritumoural collagen microstructure: The effect of tumour growth on permeability and fluid flow.. PloS one, 12 (9), e0184511. doi:10.1371/journal.pone.0184511
Worrall, D.E., Garbin, S.J., Turmukhambetov, D., Brostow, G.J. (2017). Interpretable Transformations with Encoder-Decoder Networks.
Worrall, D.E., G.a.r.b.i.n., T.u.r.m.u.k.h.a.m.b.e.t.o.v., Brostow, G.J. (2017). Harmonic Networks: Deep Translation and Rotation Equivariance.
Yang, G., Yu, S., Dong, H., Slabaugh, G., Dragotti, P.L., Ye, X., ...Guo, Y. (2017). DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2785879

2016

Al Awabdh, S., Gupta-Agarwal, S., Sheehan, D.F., Muir, J., Norkett, R., Twelvetrees, A.E., ...Kittler, J.T. (2016). Neuronal activity mediated regulation of glutamate transporter GLT-1 surface diffusion in rat astrocytes in dissociated and slice cultures.. Glia, 64 (7), 1252-1264.
Andrews, J., Morton, E.J., Griffin, L.D. (2016). Detecting Anomalous Data Using Auto-Encoders.
Andrews, J., Tanay, T., Morton, E.J., Griffin, L.D. (2016). Transfer representation-learning for anomaly detection.
Arridge, S., Beard, P., Betcke, M., Cox, B., Huynh, N., Lucka, F., ...Zhang, E. (2016). Accelerated high-resolution photoacoustic tomography via compressed sensing.. Phys Med Biol, 61 (24), 8908-8940. doi:10.1088/1361-6560/61/24/8908
arridge, S., betcke, M., Cox, B.T., Lucka, F., Treeby, B. (2016). On the Adjoint Operator in Photoacoustic Tomography. Inverse Problems, doi:10.1088/0266-5611/32/11/115012
Arridge, S.R., Schweiger, M., Schotland, J.C. (2016). Inverse models of light transport. In Handbook of Biomedical Optics. (pp. 337-358). .
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Mertzanidou, T., Owen, J., ...Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study. NMR in Biomedicine, doi:10.1002/nbm.3679
Bailey, C.E.M., Siow, B., Panagiotaki, E., Hipwell, J.H., Pinder, S.E., Alexander, D.C., Hawkes, D.J. (2016). Microstructure models for diffusion MRI in breast cancer and surrounding stroma: an ex vivo study.
Baki, M.M., Menys, A., Atkinson, D., Bassett, P., Morley, S., Beale, T., ...Birchall, M.A. (2016). Feasibility of vocal fold abduction and adduction assessment using cine-MRI. European Radiology, 1-9. doi:10.1007/s00330-016-4341-3
Ban, H.Y., Schweiger, M.J., Kavuri, V.C., Cochran, J.M., Xie, L., Busch, D., ...Lee, K. (2016). Heterodyne frequency-domain multispectral diffuse opticaltomography of breast cancer in the parallel-planetransmission geometry. Medical Physics, 43 (7),
Barkhof, F., Llufriu, S., Rovira, A., Gass, A., Gasperini, C., Kitzler, H., ...Wattjes, M. (2016). Creating a consensus evaluation and expert opinion reporting platform for brain MRI in Multiple Sclerosis with higher increased risk of Progressive Multifocal Leukoencephalopathy..
Bertolli, O., Arridge, S., Stearns, C.W., Wollenweber, S.D., Hutton, B.F., Thielemans, K. (2016). Sign determination methods for the respiratory signal in data-driven PET gating.
Bonet-Carne, E., Daducci, A., Panagiotaki, E., Johnston, E., Stevens, N., Atkinson, D., ...Alexander, D. (2016). AMICO-VERDICT: Ultrafast fitting algorithm for cancer microstructure characterization, a prostate cancer application.
Bonet-Carne, E., Daducci, A., Panagiotaki, E., Johnston, E., Stevens, N., Atkinson, D., ...Alexander, D.C. (2016). Non-invasive quantification of prostate cancer using AMICO framework for VERDICT MRI.
Bonet-Carne, E., Johnston, E., Daducci, A., Saborowska, A., Atkinson, D., Punwani, S., ...Panagiotaki, E. (2016). Non-invasive quantification of prostate cancer with VERDICT MRI: A repeatability study.
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F., Thielemans, K. (2016). Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT. PHYSICS IN MEDICINE AND BIOLOGY, 61 (3), L11-L19. doi:10.1088/0031-9155/61/3/L11
Bray, T.J.P., Vendhan, K., Ambrose, N., Atkinson, D., Punwani, S., Fisher, C., ...Hall-Craggs, M. (2016). Diffusion-weighted imaging is a sensitive biomarker of response to biologic therapy in enthesitis-related arthritis. Rheumatology, 56 (3), 399-407. doi:10.1093/rheumatology/kew429
Bray, T.J.P., Vendhan, K., Atkinson, D., Fisher, C., Sen, D., Ioannou, Y., Hall-Craggs, M.A. (2016). THE NATURAL HISTORY OF SACROILIITIS IN YOUNG PEOPLE WITH ENTHESITIS-RELATED ARTHRITIS ON BIOLOGIC THERAPY.
Bray, T.J.P., Vendhan, K., Atkinson, D., Punwani, S., Fisher, C., Sen, D., ...Hall-Craggs, M.A. (2016). QUANTIFICATION OF SACROILIAC JOINT INFLAMMATION USING DIFFUSION-WEIGHTED IMAGING IN YOUNG PEOPLE: BIOLOGICAL VALIDATION IN ENTHESITIS-RELATED ARTHRITIS.
Bray, T.J.P., Vendhan, K., Atkinson, D., Punwani, S., Fisher, C., Sen, D., ...Hall-Craggs, M.A. (2016). QUANTITATIVE APPARENT DIFFUSION COEFFICIENT MEASUREMENTS ARE A MORE REPEATABLE MEASURE OF SACROILIITIS THAN VISUAL SCORING IN YOUNG PEOPLE WITH ENTHESITIS-RELATED ARTHRITIS.
Bray, T., Vendhan, K., Ambrose, N., Atkinson, D., Punwani, S., Fisher, C., ...Hall-Craggs, M. (2016). The Apparent Diffusion Coefficient as a quantitative imaging biomarker of therapeutic response in enthesitis-related arthritis.
Bray, T., Vendhan, K., Atkinson, D., Fischer, C., Sen, D., Ioannou, Y., Hall-Craggs, M. (2016). The natural history of enthesitis-related arthritis on biologic therapy.
Bray, T., Vendhan, K., Atkinson, D., Punwani, S., Fischer, C., Sen, D., ...Hall-Craggs, M.A. (2016). Quantitative Apparent Diffusion Coefficient measurements are a more repeatable measure of sacroiliitis than visual scoring.
Bray, T., Vendhan, K., Atkinson, D., Punwani, S., Fischer, C., Sen, D., ...Hall-Craggs, M.A. (2016). Quantification of inflammation using Diffusion-weighted Imaging: Biological validation in enthesitis-related arthritis.
Bray, T., Vendhan, K., Roberts, J., Atkinson, D., Punwani, S., Sen, D., ...Hall-Craggs, M.A. (2016). Association of the Apparent Diffusion Coefficient with maturity in adolescent sacroiliac joints. Journal of Magnetic Resonance Imaging, doi:10.1002/jmri.25209
Broad, R., Gabel, M., Dowell, N., Zhang, G., Alexander, D., Cercignani, M., Leigh, P.N. (2016). CORRELATION ANALYSIS OF NEURITE ORIENTATION DISPERSION & DENSITY IMAGING IN MND.
Bufacchi, R.J., Liang, M., Griffin, L.D., Iannetti, G.D. (2016). A geometric model of defensive peripersonal space. JOURNAL OF NEUROPHYSIOLOGY, 115 (1), 218-225. doi:10.1152/jn.00691.2015
Chouhan, M.D., Bainbridge, A., Atkinson, D., Punwani, S., Mookerjee, R., Lythgoe, M.F., Taylor, S.A. (2016). Estimation of contrast agent bolus arrival delays for improved reproducibility of liver DCE MRI. Phys Med Biol, doi:10.1088/0031-9155/61/19/6905
Chouhan, M.D., Bainbridge, A., Atkinson, D., Punwani, S., Mookerjee, R., Lythgoe, M., Taylor, S. (2016). Improved hepatic arterial fraction estimation using cardiac output correction of arterial input functions for liver DCE MRI.. Phys Med Biol, doi:10.1088/1361-6560/aa553c
Cochran, J.M., Ban, H.Y., Busch, D.R., Schweiger, M.J., Kavuri, V.C., Pathak, S., ...Yodh, A.G. (2016). Multimodal structural priors for spatially-dense diffuse optical tomography of breast cancer.
Colgan, N., Siowa, B., O'Callaghan, J.M., Harrison, I.F., Wells, J.A., Holmes, H.E., ...Collins, E.C. (2016). Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. NEUROIMAGE, 125 739-744. doi:10.1016/j.neuroimage.2015.10.043
Correia, T., Arridge, S. (2016). Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 1: technical principles. PHYSICS IN MEDICINE AND BIOLOGY, 61 (4), 1439-1451. doi:10.1088/0031-9155/61/4/1439
Correia, T., Koch, M., Ale, A., Ntziachristos, V., Arridge, S. (2016). Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 2: image reconstruction. PHYSICS IN MEDICINE AND BIOLOGY, 61 (4), 1452-1475. doi:10.1088/0031-9155/61/4/1452
Cruz, G., Atkinson, D., Henningsson, M., Botnar, R., Prieto, C. (2016). Highly efficient nonrigid motion corrected 3D whole-heart coronary vessel wall imaging. Magnetic Resonance in Medicine, 77 (5), 1894-1908. doi:10.1002/mrm.26274
Cruz, G., Atkinson, D., Henningsson, M., Botnar, R., Prieto, C. (2016). Highly effcient nonrigid motion corrected 3D whole-heart coronary vessel lumen and wall imaging.
Denholm, R., De Stavola, B., Hipwell, J.H., Doran, S.J., Busana, M.C., Eng, A., ...Dos Santos Silva, I. (2016). Pre-natal exposures and breast tissue composition: findings from a British pre-birth cohort of young women and a systematic review.. Breast Cancer Res, 18 (1), 102. doi:10.1186/s13058-016-0751-z
Devine, W., Johnston, E., Bonet-Carne, E., Punwani, S., Alexander, D.C., Atkinson, D. (2016). Microstructure prostate cancer heterogeneity using diffusivity distributions.
Dikaios, N., Johnston, E., Ahmed, H., Simmons, L., Freeman, A., Allen, C., ...Punwani, S. (2016). Validation of a diagnostic transition zone prostate cancer model trained in a 1.5T MRI scanner on an independent cohort of patientsscanned on a 3T MRI scaner.
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Zhang, J., Ghosh, A.U.R.O.B.R.A.T.A., Alexander, D.A.N.I.E.L., Zhang, H.U.I. (2016). The lifespan trajectory of white matter microstructure detected by NODDI.
Zhang, J., Slattery, C., Paterson, R., Foulkes, A., Mancini, L., Thomas, D.L., ...Thornton, J. (2016). Neurite Orientation Dispersion and Density Imaging (NODDI) in Young Onset Alzheimer's Disease and Its Syndromic Variants.
Zhao, Q., Griffin, L. (2016). Better Image Segmentation by Exploiting Dense Semantic Predictions. [Digital scholarly resource]. Retrieved from: https://arxiv.org/abs/1606.01481

2015

Allan, M., Chang, P.-.L., Ourselin, S., Hawkes, D.J., Sridhar, A., Kelly, J., Stoyanov, D. (2015). Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow.
Arridge, S., Cooper, R.J. (2015). Optical Image Reconstruction. In Brain Mapping: An Encyclopedic Reference. (pp. 217-222). .
Arridge, S.R., Kaipio, J.P., Kolehmainen, V., Tarvainen, T. (2015). Optical imaging. In Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. (pp. 1033-1079). .
Auria, A., Romascano, D., Canales-Rodriguez, E., Wiau, Y., Dirby, T.B., Alexander, D., ...Daducci, A. (2015). ACCELERATED MICROSTRUCTURE IMAGING VIA CONVEX OPTIMISATION FOR REGIONS WITH MULTIPLE FIBRES (AMICO(X)).
Bailey, C., Panagiotaki, E., Tunariu, N., Orton, M.R., Morgan, V.A., Feiweier, T., ...Alexander, D.C. (2015). Modelling tissue microstructure in bone metastases from prostate cancer using VERDICT MRI.
Bohner, G., Gustafsson, N., Cade, N.I., Maurer, S.P., Griffin, L.D., Surrey, T. (2015). Important factors determining the nanoscale tracking precision of dynamic microtubule ends. JOURNAL OF MICROSCOPY, 261 (1), 67-78. doi:10.1111/jmi.12316
Bouremoum, S., Protonotarios, E., Griffin, L. (2015). Quantifying Texture Scale.
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., Thielemans, K. (2015). Direct Joint Motion Estimation/Image Reconstruction in Attenuation-Corrected Gated PET/CT Using a Single CT.
Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B., Thielemans, K. (2015). Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT using a Single Attenuation Map.. IEEE Transactions on Medical Imaging, doi:10.1109/tmi.2015.2464156
Bousse, A., Jiao, J., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2015). Joint direct motion estimation/kinetic images reconstruction from gated PET DATA.
Bousse, A., Jiao, J., Thielmans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2015). Joint Direct Motion Estimation/Kinetic Images Reconstruction from Gated PET Data. In Gao, F., Shi, K., Li, S. (Eds.), Computational Methods for Molecular Imaging. (pp. 53-62). Springer.
Bray, T.J.P., Vendhan, K., Atkinson, D., Punwani, S., Ioannou, Y., Sen, D., ...Hall-Craggs, M.A. (2015). Biological validation of quantitative ADC as a biomarker for sacroiliitis in adolescents with enthesitis-related arthritis.
Brigadoi, S., Powell, S., Cooper, R.J., Dempsey, L.A., Arridge, S., Everdell, N., ...Gibson, A.P. (2015). Evaluating real-time image reconstruction in diffuse optical tomography using physiologically realistic test data. BIOMEDICAL OPTICS EXPRESS, 6 (12), 4719-4736. doi:10.1364/BOE.6.004719
Brostow, G. (2015). Human in the loop computer vision. PERCEPTION, 44 360.
Burgos, N., Cardoso, M.J., Modat, M., Punwani, S., Atkinson, D., Arridge, S., ...Ourselin, S. (2015). CT synthesis in the head & neck region for PET/MR attenuation correction: an iterative multi-atlas approach.
Burgos, N., Cardoso, M.J., Thielemans, K., Modat, M., Dickson, J., Schott, J., ...Ourselin, S. (2015). Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers. European Journal of Nuclear Medicine and Molecular Imaging, 42 (9), 1447-1458. doi:10.1007/s00259-015-3082-x
Burgos, N.F., Cardoso, M.J., Guerreiro, F., Veiga, C., Modat, M., McClelland, J., ...Arridge, S.R. (2015). Robust CT Synthesis for Radiotherapy Planning: Application to the Head & Neck Region.
Burgos, N.F., Cardoso, M.J., Mendelson, A.F., Schott, J.M., Atkinson, D., Arridge, S.R., ...Ourselin, S. (2015). Subject-specific Models for the Analysis of Pathological FDG PET Data.
Campbell-Washburn, A.E., Atkinson, D., Nagy, Z., Chan, R.W., Josephs, O., Lythgoe, M.F., ...Thomas, D.L. (2015). Using the Robust Principal Component Analysis algorithm to remove RF spike artifacts from MR images. Magnetic Resonance in Medicine, doi:10.1002/mrm.25851
Clayden, J.D., Nagy, Z., Weiskopf, N., Alexander, D.C., Clark, C.A. (2015). Microstructural parameter estimation in vivo using diffusion MRI and structured prior information. Magnetic Resonance in Medicine, 75 (4), 1787-1796. doi:10.1002/mrm.25723
Contini, D., Dalla Mora, A., Arridge, S., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Time-domain diffuse optics: towards next generation devices.
Correia, T., Lockwood, N., Kumar, S., Yin, J., Ramel, M.-.C., Andrews, N., ...McGinty, J. (2015). Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish. PLOS ONE, 10 (8), doi:10.1371/journal.pone.0136213
Cruz, G., Atkinson, D., Buerger, C., Schaeffter, T., Prieto, C. (2015). Accelerated motion corrected three-dimensional abdominal MRI using total variation regularized SENSE reconstruction. Magnetic Resonance in Medicine, 75 (4), 1484-1498. doi:10.1002/mrm.25708
Cruz, G., Atkinson, D., Schaeffter, T., Prieto, C. (2015). Navigation-based motion model for motion compensated reconstruction in 3D abdominal MRI.
Dalla Mora, A., Contini, D., Arridge, S., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Towards next-generation time-domain diffuse optics for extreme depth penetration and sensitivity. BIOMEDICAL OPTICS EXPRESS, 6 (5), 1749-1760. doi:10.1364/BOE.6.001749
Dalla Mora, A., Contini, D., Arridge, S.R., Martelli, F., Tosi, A., Boso, G., ...Torricelli, A. (2015). Towards next generation time-domain diffuse optics devices.
Dalla Mora, A., Martinenghi, E., Contini, D., Tosi, A., Boso, G., Durduran, T., ...Torricelli, A. (2015). Fast silicon photomultiplier improves signal harvesting and reduces complexity in time-domain diffuse optics. OPTICS EXPRESS, 23 (11), 13937-13946. doi:10.1364/OE.23.013937
Dempsey, L.A., Cooper, R.J., Powell, S., Edwards, A., Lee, C.-.W., Brigadoi, S., ...Austin, T. (2015). Whole-head functional brain imaging of neonates at cot-side using time-resolved diffuse optical tomography.
Dikaios, N., Alkalbani, J., Abd-Alazeez, M., Sidhu, H., Kirkham, A., Ahmed, H., ...Taylor, S. (2015). Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI. European Radiology, doi:10.1007/s00330-015-3636-0
Dikaios, N., Alkalbani, J., Kirkham, A., Allen, C., Ahmed, H., Emberton, M., ...Atkinson, D. (2015). Support Vector Neural Networks versus Logistic Regression MR based diagnostic model for classification of transition zone prostate cancer.
Dikaios, N., Punwani, S., Atkinson, D. (2015). Direct parametric reconstruction from (k, t)-space data in dynamic contrast enhanced MRI.
Ehrhardt, M., Thielmans, K., Pizarro, L., Atkinson, D., Ourselin, S., Hutton, B., Arridge, S. (2015). Joint reconstruction of PET-MRI by exploiting structural similarity. Inverse Problems, 31 doi:10.1088/0266-5611/31/1/015001
Erlandsson, K., Dickson, J., Arridge, S., Atkinson, D., Ourselin, S., Hutton, B. (2015). MR Imaging–Guided partial volume correction of PET data in PET/MR imaging. PET Clinics, 11 161-177. doi:10.1016/j.cpet.2015.09.002
Erlandsson, K., Liljeroth, M., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2015). Improved parameter-estimation with combined PET-MRI kinetic modelling.
Farina, A., Lepore, M., Di Sieno, L., Dalla Mora, A., Ducros, N., Pifferi, A., ...D'Andrea, C. (2015). Diffuse optical tomography by using time-resolved single pixel camera.
Ferizi, U., Schneider, T., Witzel, T., Wald, L.L., Zhang, H., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2015). White matter compartment models for in vivo diffusion MRI at 300 mT/m. NEUROIMAGE, 118 468-483. doi:10.1016/j.neuroimage.2015.06.027
Figini, M., Alexander, D.C., Redaelli, V., Fasano, F., Grisoli, M., Baselli, G., ...Bizzi, A. (2015). Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases. NEUROIMAGE-CLINICAL, 7 142-154. doi:10.1016/j.nicl.2014.11.017
Ganepola, T., Nagy, Z., Alexander, D., Sereno, M. (2015). An unsupervised group average cortical parcellation using HARDI data.
Godard, C., Hedman, P., Li, W., Brostow, G.J. (2015). Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments.
Griffin, L.D., Sutcliffe, A.G., Bradbury, K., Kumble, S., Mylonas, D., Baker, A. (2015). Colour and spectral reflectance of stools from normal neonatal babies. COLOR RESEARCH AND APPLICATION, 40 (6), 585-591. doi:10.1002/col.21919
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Newcombe, J., Zhang, H., ...Wheeler-Kingshott, C.A.M. (2015). Histological metrics confirm microstructural characteristics of NODDI indices in multiple sclerosis spinal cord.
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Tur, C., Newcombe, J., ...Wheeler-Kingshott, C.A.M. (2015). Quantitative histological validation of NODDI MRI indices of neurite morphology in multiple sclerosis spinal cord.
Grussu, F., Schneider, T., Yates, R.L., Tachrount, M., Zhang, H., Alexander, D.C., ...Wheeler-Kingshott, C.A.M. (2015). Quantitative histological correlates of NODDI orientation dispersion estimates in the human spinal cord.
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2015). Neurite orientation dispersion and density imaging of the cervical cord in vivo.
Grussu, F., Schneider, T., Zhang, H., Alexander, D., Wheeler-Kingshott, C. (2015). Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo. Neuroimage, 111 590-601. doi:10.1016/j.neuroimage.2015.01.045
Gryka, M., Terry, M., Brostow, G.J. (2015). Learning to Remove Soft Shadows. ACM Transactions on Graphics,
Hayashi, Y., Misawa, K., Oda, M., Hawkes, D.J., Mori, K. (2015). Clinical application of a surgical navigation system based on virtual laparoscopy in laparoscopic gastrectomy for gastric cancer. International Journal of Computer Assisted Radiology and Surgery, 11 (5), 827-836. doi:10.1007/s11548-015-1293-z
Hoad, C., Menys, A., Garsed, K., Marciani, L., Hamy, V., Murray, K., ...Spiller, R. (2015). Colon wall motility: comparison of novel quantitative semi-automatic measurements using cine-MRI. Neurogastroenterology and Motility, doi:10.1111/nmo.12727
H.o.c.h.u.l.i., Powell, S., Arridge, S., Cox, B. (2015). Forward and Adjoint Radiance Monte Carlo Models for Quantitative Photoacoustic Imaging.
Hochuli, R., Powell, S., Arridge, S., Cox, B. (2015). Forward and Adjoint Radiance Monte Carlo Models for Quantitative Photoacoustic Imaging. PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2015, 9323 doi:10.1117/12.2081407
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M.A., Melbourne, A., van Osch, M.J.P., ...Golay, X. (2015). Is adult brain vessel compliance affected by extreme prematurity?.
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M.A., Melbourne, A., van Osch, M.J.P., ...Golay, X. (2015). DOES EXTREME PREMATURITY AFFECT ADULT BRAIN VESSEL COMPLIANCE? A PRELIMINARY MRI STUDY.
Huynh, N., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2015). A real-time ultrasonic field mapping system using a Fabry Perot single pixel camera for 3D photoacoustic imaging.
Ianus, A., Drobnjak, I., Alexander, D. (2015). Model-based estimation of microstructure parameters from diffusion MRI in the presence of microscopic anisotropy and size dispersion.
Ianus, A., Drobnjak, I., Alexander, D. (2015). Model-based estimation of microstructure parameters from diffusion MRI data in a substrate with microscopic anisotropy and a distribution of pore sizes.
Ianus, A., Drobnjak, I., Shemesh, N., Alexander, D. (2015). Metrics of microscopic anisotropy: a comparison study.
Jiao, J., Markiewicz, P., Burgos, N., Atkinson, D., Hutton, B., Arridge, S., Ourselin, S. (2015). Detail-preserving PET reconstruction with sparse image representation and anatomical priors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9123 540-551. doi:10.1007/978-3-319-19992-4_42
Jiao, J., Markiewicz, P., Burgos, N., Atkinson, D., Hutton, B., Arridge, S., Ourselin, S. (2015). Detail-Preserving PET reconstruction with sparse image representation and anatomical priors.
Johnsen, S.F. (2015). Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation.
Johnsen, S.F., Taylor, Z.A., Clarkson, M.J., Hipwell, J., Modat, M., Eiben, B., ...Hawkes, D.J. (2015). NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics.. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 10 (7), 1077-1095. doi:10.1007/s11548-014-1118-5
Johnsen, S.F., Taylor, Z.A., Han, L., Hu, Y., Clarkson, M.J., Hawkes, D.J., Ourselin, S. (2015). Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. International Journal of Computer Assisted Radiology and Surgery, 1-19. doi:10.1007/s11548-014-1142-5
Kaden, E., Kruggel, F., Alexander, D.C. (2015). Quantitative mapping of the per-axon diffusion coefficients in brain white matter. Magnetic Resonance in Medicine, 75 (4), 1752-1763. doi:10.1002/mrm.25734
Lacher, R.M., Hipwell, J.H., Williams, N.R., Keshtgar, M.R., Hawkes, D.J., Stoyanov, D. (2015). Low-cost surface reconstruction for aesthetic results assessment and prediction in breast cancer surgery.
Latifoltojar, A., Dikaios, N., Ridout, A., Moore, C., Illing, R., Kirkham, A., ...Allen, C. (2015). Evolution of multi-parametric MRI quantitative parameters following transrectal ultrasound-guided biopsy of the prostate. Prostate Cancer and Prostatic Diseases, 1-9. doi:10.1038/pcan.2015.33
Lehtikangas, O., Tarvainen, T., Kim, A.D., Arridge, S.R. (2015). Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index. JOURNAL OF COMPUTATIONAL PHYSICS, 282 345-359. doi:10.1016/j.jcp.2014.11.025
Liljeroth, M., Erlandsson, K., Fraioli, F., Thomas, D., De Vita, E., Hutton, B., ...Atkinson, D. (2015). Dual-modality evaluation of tumour vasculature, morphology and metabolism via Dynamic Susceptibility Contrast MRI and FluoroEthyl Choline-PET using simultaneous PET/MR.
Liu, E., Schmidt, M.E., Margolin, R., Sperling, R., Koeppe, R., Mason, N.S., ...Fox, N.C. (2015). Amyloid-beta C-11-PiB-PET imaging results from 2 randomized bapineuzumab phase 3 AD trials. NEUROLOGY, 85 (8), 692-700. doi:10.1212/WNL.0000000000001877
Lorenzi, M., Ziegler, G., Alexander, D.C., Ourselin, S. (2015). Efficient gaussian process-based modelling and prediction of image time series. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9123 626-637. doi:10.1007/978-3-319-19992-4_49
Lorenzi, M., Ziegler, G., Alexander, D.C., Ourselin, S. (2015). Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
Malone, E., dos Santos, G.S., Holder, D., Arridge, S. (2015). A Reconstruction-Classification Method for Multifrequency Electrical Impedance Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING, 34 (7), 1486-1497. doi:10.1109/TMI.2015.2402661
Malone, E., Powell, S., Cox, B.T., Arridge, S. (2015). Reconstruction-classification method for quantitative photoacoustic tomography. JOURNAL OF BIOMEDICAL OPTICS, 20 (12), doi:10.1117/1.JBO.20.12.126004
Manber, R., Atkinson, D., Thielemans, K., Hutton, B., Barnes, A., O'Meara, C., ...Arridge, S. (2015). PRACTICAL PET RESPIRATORY MOTION CORRECTION IN CLINICAL SIMULTANEOUS PET/MR.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). Practical PET respiratory motion correction in clinical simultaneous PET/MR. Journal of Nuclear Medicine, 56 (6), 890-896. doi:10.2967/jnumed.114.151779
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). Practical PET respiratory motion correction in clinicalPET/MR.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2015). MR Image-based PET Respiratory Motion Correction in PET/MR.
Markiewicz, P., Thielemans, K., Atkinson, D., Arridge, S., Hutton, B., Ourselin, S. (2015). Rapid workflow of mMR PET list-mode data processing using CUDA.
Melbourne, A., Eaton-Rosen, Z., Owen, D., Cardoso, J., Beckmann, J., Atkinson, D., ...Ourselin, S. (2015). Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI.
Menys, A., Makanyanga, J., Plumb, A., Bhatnagar, G., Atkinson, D., Emmanuel, A., Taylor, S.A. (2015). Aberrant motility in unaffected small bowel is linked to inflammatory burden and patient symptoms in Crohn's disease.. Inflammatory Bowel Diseases, 22 (2), 424-432. doi:10.1097/MIB.0000000000000601
Menys, A., Tutein Nolthenius, C., Puylaert, C., Makanyanga, J., Gryspeerdt, E., Bhatnagar, G., ...Taylor, S. (2015). Quantified terminal ileal motility as a biomarker of Crohn’s Disease activity assessed using Magnetic Resonance Enterography: A prospective study.
Monszpart, A., Mellado, N., Brostow, G.J., Mitra, N.J. (2015). RAPter: Rebuilding Man-made Scenes with Regular Arrangements of Planes. ACM SIGGRAPH Computer Graphics, doi:10.1145/2766995
Morin, R., Eiben, B., Bidaut, L., Hipwell, J., Evans, A., Hawkes, D.J. (2015). 3D ULTRASOUND SIMULATION BASED ON A BIOMECHANICAL MODEL OF PRONE MRI IN BREAST CANCER IMAGING.
Mozumder, M., Tarvainen, T., Seppanen, A., Nissila, I., Arridge, S.R., Kolehmainen, V. (2015). Nonlinear approach to difference imaging in diffuse optical tomography. JOURNAL OF BIOMEDICAL OPTICS, 20 (10), doi:10.1117/1.JBO.20.10.105001
Mylonas, D., Purver, M., Sadrzadeh, M., MacDonald, L., Griffin, L. (2015). The Use of English Colour Terms in Big Data.
Nedjati-Gilani, G., Alexander, D.C. (2015). Tissue Microstructure Imaging with Diffusion MRI. In Brain Mapping: An Encyclopedic Reference. (pp. 277-285). .
Norris, F.C., Siow, B.M., Cleary, J.O., Wells, J.A., De Castro, S.C.P., Ordidge, R.J., ...Alexander, D.C. (2015). Diffusion microscopic MRI of the mouse embryo: Protocol and practical implementation in the splotch mouse model.. MAGNETIC RESONANCE IN MEDICINE, 73 (2), 731-739. doi:10.1002/mrm.25145
Ourselin, S., Alexander, D.C., Westin, C.F., Cardoso, M.J. (2015). Preface. 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015. Proceedings. Information processing in medical imaging : proceedings of the ... conference, 24 V-VII.
Ourselin, S., Alexander, D.C., Westin, C.F., Cardoso, M.J. (2015). Preface. .
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., O'Callaghan, J., Freeman, A., ...Alexander, D.C. (2015). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI. Investigative Radiology, 50 (4), 218-227. doi:10.1097/RLI.0000000000000115
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H.U., O'Callaghan, J., Freeman, A., ...Alexander, D.C. (2015). Microstructural characterisation of normal and malignant human prostate tissue with vascular, extracellular, and restricted diffusion for cytometry in tumours magnetic resonance imaging.. Investigative Radiology, 50 (4), 218-227. doi:10.1097/RLI.0000000000000115
Panagiotaki, E., Ianus, A., Johnston, E., Chan, R., Stevens, N., Atkinson, D., ...Alexander, D. (2015). Optimised VERDICT MRI protocol for prostate cancer characterisation.
Panagiotaki, E., Ianus, A., Johnston, E., Chan, R.W., Atkinson, D., P.u.n.w.a.n.i., ...Alexander, D. (2015). Optimised VERDICT MRI protocol for prostate cancer characterisation.
Plumb, A.A.O., Menys, A., Makanyanga, J., Pendse, D., Bhatnagar, G., Atkinson, D., Taylor, S.A. (2015). Abdominal symptoms in Crohn’s disease are associated with aberrant global small bowel motility in non-inflamed bowel..
Plumb, A.A.O., Menys, A., Tutein Nolthenius, C., Puylaert, C., Tielbeek, J.A.W., Makanyanga, J., ...Atkinson, D. (2015). Prospective analysis of quantified terminal ileal motility using magnetic resonance enterography as a biomarker of active inflammation in Crohn’s disease..
Powell, S., Arridge, S.R., Leung, T.S. (2015). First-harmonic sensitivity functions for a linearised diffusion model of ultrasound-modulated optical tomography. PHOTONS PLUS ULTRASOUND: IMAGING AND SENSING 2015, 9323 doi:10.1117/12.2077435
Powell, S., Arridge, S.R., Leung, T.S. (2015). Gradient-based quantitative image reconstruction in ultrasound-modulated optical tomography: first harmonic measurement type in a linearised diffusion formulation. Medical Imaging, IEEE Transactions on, PP (99), 1. doi:10.1109/TMI.2015.2478742
Powell, S., Cooper, R.J., Hebden, J.C., Arridge, S.R. (2015). Dynamic image reconstruction in time-resolved diffuse optical tomography.
Protonotarios, E., Griffin, L. (2015). Discrimination scales do not account for large perceptual differences.
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2015). Quantitative photoacoustic tomography using illuminations from a single direction. JOURNAL OF BIOMEDICAL OPTICS, 20 (3), doi:10.1117/1.JBO.20.3.036015
Reis, S., Eiben, B., Mertzanidou, T., Hipwell, J., Hermsen, M., van der Laak, J., ...Hawkes, D. (2015). Minimum Slice Spacing Required To Reconstruct 3D Shape For Serial Sections Of Breast Tissue For Comparison With Medical Imaging.
Rogers, T.W., Jaccard, N., Morton, E.J., Griffin, L.D. (2015). Detection of cargo container loads from X-ray images.
Sari, H., Erlandsson, K., Law, I., Larsson, H., Ourselin, S., Arridge, S., ...Hutton, B. (2015). Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel PVC method.
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Ourselin, S., Arridge, S., Hutton, B.F. (2015). Incorporation of MRI-AIF Information For Improved Kinetic Modelling of Dynamic PET Data. IEEE Transactions on Nuclear Science,
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Ourselin, S., Arridge, S., Hutton, B.F. (2015). Incorporation of MRI-AIF information for improved kinetic modeling of dynamic PET data.. IEEE Transactions on Nuclear Science,
Schneider, C., Desjardins, A.E., Gurusamy, K., Hawkes, D.J., Davidson, B.R. (2015). Laparoscopic Manipulation of a Probe-based Confocal Laser Endomicroscope Using a Steerable Intravascular Catheter. SURGICAL LAPAROSCOPY ENDOSCOPY & PERCUTANEOUS TECHNIQUES, 25 (2), E83-E85. doi:10.1097/SLE.0000000000000139
Schneider, C., Thompson, S., Totz, J., Song, Y., Johnsen, S., Stoyanov, D., ...Clarkson, M. (2015). EVALUATION OF A NOVEL SYSTEM FOR IMAGE GUIDED LAPAROSCOPIC LIVER SURGERY IN AN ANIMAL MODEL AND FIRST CLINICAL EXPERIENCE.
Schneider, T., Nejati-Gilani, G., Tachrount, M., Ying, L., Hill, A.M., Ciccarelli, O., ...Wheeler-Kingshott, C.A.M. (2015). Diffusion MRI reveals tissue specific changes in early and late stages of degeneration within the spinal cord..
Shemesh, N., Ianus, A., Alexander, D., Drobnjak, I. (2015). Double Oscillating Diffusion Encoding (DODE) augments microscopic anisotropy contrast.
Smigaj, W., Arridge, S., Betcke, T., Phillips, J., Schweiger, M. (2015). Solving Boundary Integral Problems with BEM++. ACM Transactions on Mathematical Software, doi:10.1145/2590830
Song, Y., Totz, J., Thompson, S., Johnsen, S., Barratt, D., Schneider, C., ...Hawkes, D. (2015). Locally rigid, vessel-based registration for laparoscopic liver surgery. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 10 (12), 1951-1961. doi:10.1007/s11548-015-1236-8
Stoeck, C.T., von Deuster, C., Genet, M., Atkinson, D., Kozerke, S. (2015). First and second order motion compensated spin-echo Diffusion Tensor Imaging of the human heart.
Stoeck, C.T., von Deuster, C., Genet, M., Atkinson, D., Kozerke, S. (2015). Second-order motion-compensated spin echo diffusion tensor imaging of the human heart.. Magnetic Resonance in Medicine, n/a. doi:10.1002/mrm.25784
Stoeck, C., von Deuster, C., Genet, M., Atkinson, D., Kozerke, S. (2015). Second order motion compensated spin-echo diffusion tensor imaging of the human heart.
Thompson, S., Totz, J., Song, Y., Stoyanov, D., Ourselin, S., Hawkes, D., Clarkson, M. (2015). Accuracy validation of an image guided laparoscopy system for liver resection.
Torrealdea, F., Rega, M., Evans, V., Punwani, S., Atkinson, D., Golay, X. (2015). Optimisation of glucoCEST MRI signal for applications in tumours.
Torrealdea, F., Rega, M., Evans, V., Punwani, S., Atkinson, D., Golay, X. (2015). Optimisation of glucoCEST MRI signal for applications in tumors.
Usman, M., Atkinson, D., Heathfield, E., Greil, G., Schaeffter, T., Prieto, C. (2015). Whole left ventricular functional assessment from two minutes free breathing multi-slice CINE acquisition. Physics in Medicine and Biology, 60 (7), N93-N107. doi:10.1088/0031-9155/60/7/N93
van't Wout, E., Gelat, P., Betcke, T., Arridge, S. (2015). A fast boundary element method for the scattering analysis of high-intensity focused ultrasound. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 138 (5), 2726-2737. doi:10.1121/1.4932166
Vendhan, K., Bray, T.J.P., Atkinson, D., Punwani, S., Ioannou, Y., Sen, D., ...Hall-Craggs, M.A. (2015). The spectrum of ADC values in normal adolescent sacroiliac joints.
von Deuster, C., Stoeck, C., Genet, M., Toussaint, N., Atkinson, D., Kozerke, S. (2015). A reference dataset of in-vivo human left-ventricular fiber architecture in systole and diastole.
von Deuster, C., Stoeck, C.T., Genet, M., Atkinson, D., Kozerke, S. (2015). A reference dataset of in-vivo human left-ventricular fiber architecture in systole and diastole.
von Deuster, C., Stoeck, C.T., Genet, M., Atkinson, D., Kozerke, S. (2015). Spin echo versus stimulated echo diffusion tensor imaging of the in vivo human heart. Magnetic Resonance in Medicine, doi:10.1002/mrm.25998
Waithe, D., Rennert, P., Brostow, G., Piper, M.D.W. (2015). QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. PLOS ONE, 10 (5), doi:10.1371/journal.pone.0127659
White, M.J., Thornton, J.S., Hawkes, D.J., Hill, D.L.G., Kitchen, N., Mancini, L., ...Yousry, T. (2015). Design, operation, and safety of single-room interventional MRI suites: Practical experience from two centers. Journal of Magnetic Resonance Imaging, 41 (1), 34-43. doi:10.1002/jmri.24577
White, M.J., Thornton, J.S., Hawkes, D.J., Hill, D.L.G., Kitchen, N., Mancini, L., ...Yousry, T. (2015). Design, operation, and safety of single-room interventional MRI suites: practical experience from two centers.. JOURNAL OF MAGNETIC RESONANCE IMAGING, 41 (1), 34-43. doi:10.1002/jmri.24577
White, M.J., Thornton, J.S., Hawkes, D.J., Hill, D.L.G., Kitchen, N., Mancini, L., ...Yousry, T. (2015). Design, Operation, and Safety of Single-Room Interventional MRI Suites: Practical Experience From Two Centers. JOURNAL OF MAGNETIC RESONANCE IMAGING, 41 (1), 34-43. doi:10.1002/jmri.24577
Young, A.L., Oxtoby, N.P., Huang, J., Marinescu, R.V., Daga, P., Cash, D.M., ...Alexander, D.C. (2015). Multiple orderings of events in disease progression. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9123 711-722. doi:10.1007/978-3-319-19992-4_56
Young, A.L., Oxtoby, N.P., Ourselin, S., Schott, J.M., Alexander, D.C. (2015). A simulation system for biomarker evolution in neurodegenerative disease. MEDICAL IMAGE ANALYSIS, 26 (1), 47-56. doi:10.1016/j.media.2015.07.004

2014

Alessandro, D., Canales-Rodriguez, E.J., Zhang, H., Dyrby, T.B., Alexander, D.C., Thiran, J.-.P. (2014). Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. Neuroimage, 105 32-44. doi:10.1016/j.neuroimage.2014.10.026
Alexander, D., Assaf, Y. (2014). Advanced methods to study white matter microstructure. In Cohen-Adad, J., Wheeler-Kingshott, C.A.M. (Eds.), Quantitative MRI of the Spinal Cord. Academic Press.
Alexander, D.C., Zikic, D., Zhang, J., Zhang, H., Criminisi, A. (2014). Image quality transfer via random forest regression: applications in diffusion MRI.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 17 (Pt 3), 225-232.
Alexander, D.C., Zikic, D., Zhang, J., Zhang, H., Criminisi, A. (2014). Image quality transfer via random forest regression: Applications in diffusion MRI. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. (pp. 225-232). .
Allan, M., Thompson, S., Clarkson, M., Ourselin, S., Hawkes, D., Kelly, J., Stoyanov, D. (2014). 2D-3D pose tracking of rigid instruments in minimally invasive surgery.
Arridge, S.R., Betcke, M.M., Harhanen, L. (2014). Iterated preconditioned LSQR method for inverse problems on unstructured grids. INVERSE PROBLEMS, 30 (7), doi:10.1088/0266-5611/30/7/075009
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S.A., Hipwell, J.H., Alexander, D.C., ...Evans, A. (2014). Modeling vascularity in breast cancer and surrounding stroma using diffusion MRI and intravoxel incoherent motion.
Bailey, C., Vinnicombe, S., Panagiotaki, E., Waugh, S., Hipwell, J.H., Whelehan, P., ...Hawkes, D.J. (2014). Modelling vasculature and cellular restriction in breast tumours using diffusion MRI.
Barnes, A., Morgan, C., Bainbridge, A., Smith, L., Rice, S., Atkinson, D., Punwani, S. (2014). Repeatability of whole-body T1 mapping using B1 corrected T1 mDIXON imaging.
Bousse, A., Jiao, J., Erlandsson, K., Pizarro, L., Thielemans, K., Atkinson, D., ...Hutton, B. (2014). 4-D PET joint image reconstruction/non-rigid motion estimation with limited MRI prior information.
Bousse, A., Jiao, J., Pizarro, L., Thielemans, K., Atkinson, D., Ourselin, S., ...Hutton, B.F. (2014). An algorithm for direct 4-D PET image reconstruction/non-rigid motion estimation with limited MRI prior information.
Bousse, A., Jiao, J., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2014). Joint direct motion estimation/kinetic images reconstruction from gated PET data.
Bragman, F.J.S., McClelland, J.R., Modat, M., Ourselin, S., Hurst, J.R., Hawkes, D.J. (2014). Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT III, 8675 417-424.
Bragman, F.J.S., McClelland, J.R., Modat, M., Ourselint, S., Hurst, J.R., Hawkes, D.J. (2014). Multi-scale analysis of imaging features and its use in the study of COPD exacerbation susceptible phenotypes.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 17 (Pt 3), 417-424.
Brigadoi, S., Aljabar, P., Kuklisova-Murgasova, M., Arridge, S.R., Cooper, R.J. (2014). A 4D neonatal head model for diffuse optical imaging of pre-term to term infants.. NEUROIMAGE, 100 385-394. doi:10.1016/j.neuroimage.2014.06.028
Burgos, N., Cardoso, M.J., Thielemans, K., Duncan, J.S., Atkinson, D., Arridge, S.R., ...Ourselin, S. (2014). Attenuation correction synthesis for hybrid PETMR scanners: Validation for brain study applications.
Burgos, N., Cardoso, M.J., Thielemans, K., Modat, M., Pedemonte, S., Dickson, J., ...Schott, J.M. (2014). Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 33 (12), 2332-2341. doi:10.1109/TMI.2014.2340135
Burgos, N., Thielemans, K., Cardoso, M.J., Markiewicz, P., Jiao, J., Dickson, J., ...Hutton, B.F. (2014). Effect of Scatter Correction When Comparing Attenuation Maps: Application to Brain PET/MR.
Butt, S., Menys, A., Atkinson, D., Plumb, A., Taylor, S., Zarate, N., Emmanuel, A. (2014). Quantitative assessment of global small bowel motility in Chronic Intestinal Pseudo-Obstruction and controls: A Preliminary Study.
Chan, R.W., Deuster, C.V., Stoeck, C.T., Harmer, J., Kozerke, S., Atkinson, D. (2014). High-Resolution diffusion tensor imaging (DTI) of the human kidneys using a free-breathing multi-slice targeted-FOV approach.
Chan, R.W., von Deuster, C., Giese, D., Stoeck, C.T., Harmer, J., Aitken, A.P., ...Kozerke, S. (2014). Characterization and correction of eddy-current artifacts in unipolar and bipolar diffusion sequences using magnetic field monitoring. JOURNAL OF MAGNETIC RESONANCE, 244 74-84. doi:10.1016/j.jmr.2014.04.018
Clarkson, M.J., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., ...Ourselin, S. (2014). The NifTK Software Platform for Image Guided Interventions. International Journal of Computer Assisted Radiology and Surgery,
Clarkson, M., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., ...Ourselin, S. (2014). NifTK GUIs and Command Line Apps.
Cochran, J.M., Ban, H.Y., Busch, D.R., Schweiger, M.J., Kavuri, V.C., Pathak, S., ...Yodh, G. (2014). Multimodal structural priors for spatially-dense diffuse optical tomography of breast cancer.
Cruz, G., Atkinson, D., Kolbitsch, C., Schaeffter, T., Prieto, C. (2014). Comparison of Non-Rigid Motion Compensated Reconstructions for 3D Abdominal MRI.
Deuster, C.V., Stoeck, C., Buehrer, M., Harmer, J., Chan, R.W., Atkinson, D., Kozerke, S. (2014). Free-breathing cardiac DTI with simultaneous multi-slice excitation.
Dikaios, N., Alkalbani, J., Sidhu, H., Fujiwara, T., Abd-Alazeez, M., Kirkham, A., ...Halligan, S. (2014). Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI. European Radiology, 25 (2), 523-532. doi:10.1007/s00330-014-3386-4
Dikaios, N., Arridge, S., Hamy, V., Punwani, S., Atkinson, D. (2014). Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI.. Medical Image Analysis, 18 (7), 989-1001. doi:10.1016/j.media.2014.05.001
Dikaios, N., Atkinson, D. (2014). Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhancement MRI. Medical Image Analysis, 18 (7), 989-1001. doi:10.1016/j.media.2014.05.001
Dikaios, N., Tremoulheac, B., Menys, A., Arridge, S., Atkinson, D. (2014). Discrete shearlets as a sparsifying transform in a split Bregman reconstruction of low-rank plus sparse component from undersampled (k, t)-space small bowel data.
Drobnjak, I., Cruz, G., Alexander, D.C. (2014). Corrigendum to "Optimising oscillating waveform-shape for pore size sensitivity in diffusion-weighted MR" [Micropor. Mesopor. Mater. 178 (2013) 11-14] (DOI:10.1016/j.micromeso.2013.03.004). MICROPOROUS AND MESOPOROUS MATERIALS, 196 360. doi:10.1016/j.micromeso.2014.03.001
Ehrhardt, M.J., Arridge, S.R. (2014). Vector-Valued Image Processing by Parallel Level Sets. Image Processing, IEEE Transactions on, 23 9-18. doi:10.1109/TIP.2013.2277775
Ehrhardt, M.J., Thielemans, K., Pizarro, L., Markiewicz, P., Atkinson, D., Ourselin, S., ...Arridge, S.R. (2014). Joint Reconstruction of PET-MRI by Parallel Level Sets.
Ehrhardt, M., Thielemans, K., Pizarro, L., Markiewicz, P., Atkinson, D., Ourselin, S., ...Arridge, S. (2014). Correct A Priori Information Modelling for Sparse MRI Reconstruction.
Eiben, B., Vavourakis, V., Hipwell, J.H., Kabus, S., Lorenz, C., Buelow, T., Hawkes, D.J. (2014). Breast deformation modelling: comparison of methods to obtain a patient specific unloaded configuration.
Ferizi, U., Schneider, T., Panagiotaki, E., Tariq, M., Zhang, H., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Ranking diffusion MRI models for fibre dispersion using in vivo human brain data..
Frangi, A., Friboulet, D., Ayache, N., Delingette, H., Glatard, T., Hoogendoorn, C., ...Martelli, Y. (2014). Image-based modelling. In Coveney, P., Diaz-Zuccarini, V., Hunter, P., Viceconti, M. (Eds.), Computational Biomedicine. Oxford University Press.
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2014). Efficient determination of the uncertainty for the optimization of SPECT system design: a subsampled fisher information matrix.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 33 (3), 618-635. doi:10.1109/TMI.2013.2292805
Griffin, L.D. (2014). Metamerism? What metamerism?.
Grove, J., Metcalf, D.J., Knight, A.E., Wavre-Shapton, S.T., Sun, T., Protonotarios, E.D., ...Marsh, M. (2014). Flat clathrin lattices: stable features of the plasma membrane.. MOLECULAR BIOLOGY OF THE CELL, 25 (22), 3581-3594. doi:10.1091/mbc.E14-06-1154
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2014). Single-shell diffusion MRI NODDI with in vivo cervical cord data.
Hamy, V., Dikaios, N., Punwani, S., Melbourne, A., Latifoltojar, A., Makanyanga, J., ...Taylor, S. (2014). Respiratory motion correction in dynamic MRI using Robust Data Decomposition Registration – Application to DCE-MRI. Medical Image Analysis, 18 (2), 301-313. doi:10.1016/j.media.2013.10.016
Hamy, V., Modat, M., Dikaios, N., Cleary, J., Punwani, S., Shipley, R., ...Melbourne, A. (2014). Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function.
Hamy, V., Modat, M., Shipley, R., Dikaios, N., Cleary, J.O., Punwani, S., ...Melbourne, A. (2014). Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function..
Han, L., Hawkes, D.J., Barratt, D.C. (2014). A hybrid biomechanical model-based image registration method for sliding objects.
Han, L., Hipwell, J., Eiben, B., Barratt, D.C., Ourselin, S., Hawkes, D.J. (2014). A Non-linear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2013.2294539
Harmer, J., Chan, R.W., Stoeck, C.T., Deuster, C.V., Atkinson, D., Kozerke, S. (2014). Correction of off-resonance distortions in in-vivo cardiac diffusion tensor imaging.
Helbren, E., Roth, H.R., Hampshire, T.E., Pickhardt, P.J., Taylor, S.A., Hawkes, D.J., Halligan, S. (2014). CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studies.. RADIOLOGY, 273 (2), 417-424. doi:10.1148/radiol.14140473
Hill, D.L.G., Schwarz, A.J., Isaac, M., Pani, L., Vamvakas, S., Hemmings, R., ...Beckett, L. (2014). Coalition Against Major Diseases/European Medicines Agency biomarker qualification of hippocampal volume for enrichment of clinical trials in predementia stages of Alzheimer's disease.. ALZHEIMERS & DEMENTIA, 10 (4), 421-429. doi:10.1016/j.jalz.2013.07.003
Hoad, C., Hamy, V., Garsed, K., Marciani, L., Spiller, R., Taylor, S., ...Menys, A. (2014). Preliminary investigations of colonic motility from Cine MRI; use of registration techniques for quantitative analysis.
Huynh, N., Zhang, E., Betcke, M., Arridge, S., Beard, P., Cox, B. (2014). Patterned interrogation scheme for compressed sensing photoacoustic imaging using a Fabry Perot planar sensor.
Jaccard, N., Griffin, L.D., Keser, A., Macown, R.J., Super, A., Veraitch, F.S., Szita, N. (2014). Automated method for the rapid and precise estimation of adherent cell culture characteristics from phase contrast microscopy images.. BIOTECHNOLOGY AND BIOENGINEERING, 111 (3), 504-517. doi:10.1002/bit.25115
Jaccard, N., Macown, R.J., Super, A., Griffin, L.D., Veraitch, F.S., Szita, N. (2014). Automated and online characterization of adherent cell culture growth in a microfabricated bioreactor.. JALA, 19 (5), 437-443. doi:10.1177/2211068214529288
Jaccard, N., Rogers, T.W., Griffin, L.D. (2014). Automated detection of cars in transmission X-ray images of freight containers.
Jacobs, J.G., Panagiotaki, E., Alexander, D.C. (2014). Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields.
Jiao, J., Bousse, A., Thielemans, K., Markiewicz, P., Burgos, N., Atkinson, D., ...Ourselin, S. (2014). Joint parametric reconstruction and motion correction framework for dynamic PET data.
Johnson, S.P., Schneider, C., Desjardins, A., Walker-Samuel, S., Hawkes, D. (2014). Confocal fluorescence endomicroscopy in vivo for the detection of tumour microenvironment and healthy tissue margin. EUROPEAN JOURNAL OF CANCER, 50 S168-S169. doi:10.1016/S0959-8049(14)50618-1
Jones, G., Clancy, N., Arridge, S., Elson, D., Stoyanov, D. (2014). Deblurring multispectral laparoscopic images.
Jones, G., Clancy, N., Arridge, S., Elson, D., Stoyanov, D. (2014). Deblurring multispectral laparoscopic images.
Kaden, E., Kruggel, F., Alexander, D.C. (2014). Bayesian Estimation of the Axonal Diffusion Coefficients in Brain White Matter.
Kakkar, L., Atkinson, D., Chan, R.W., Drobnjak, I. (2014). Imaging brain microstructure: Application of oscillating gradient diffusion sequences on a clinical MRI scanner.
Kazantsev, D., Ourselin, S., Hutton, B.F., Lionheart, W.R.B., Arridge, S.A. (2014). A novel technique to incorporate structural prior information into multi-modal tomographic reconstruction. Inverse problems, 30
Kowalik, G., Knight, D., Steeden, J., Tann, O., Odille, F., Atkinson, D., ...Muthurangu, V. (2014). Assessment of cardiac time intervals using high temporal resolution real-time spiral phase contrast with UNFOLD-SENSE.
Kowalik, G., Knight, D., Steeden, J., Tann, O., Odille, F., Atkinson, D., ...Muthurangu, V. (2014). Assessment of Cardiac Time Intervals Using High Temporal Resolution Real-Time Spiral Phase Contrast with UNFOLD-SENSE.
Kowalik, G.T., Knight, D.S., Steeden, J.A., Tann, O., Odille, F., Atkinson, D., ...Muthurangu, V. (2014). Assessment of cardiac time intervals using high temporal resolution real-time spiral phase contrast with UNFOLDed-SENSE. Magnetic Resonance in Medicine, 73 (2), 749-756. doi:10.1002/mrm.25183
Kumar, S., Lockwood, N., Ramel, M.C., Correia, T., Ellis, M., Alexandrov, Y., ...Dallman, M.J. (2014). In vivo multiplexed OPT and FLIM OPT of an adult zebrafish cancer disease model.
Kunz, N., Zhang, H., Vasung, L., O'Brien, K.R., Assaf, Y., Lazeyras, F., ...Hüppi, P.S. (2014). Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models.. Neuroimage, doi:10.1016/j.neuroimage.2014.03.057
Latifoltojar, A., Dikaios, N., Ridout, A., Moore, C., Illing, R., Kirkham, A., ...Atkinson, D. (2014). Transrectal ultrasound guided biopsy: effect on natural history of multi-parametric MRI signal and derived quantitative parameters.
Lopez-Tovar, H., Brostow, G.J. (2014). Learning Sketch-based 3D Modelling From A User's Sketching Gestures.
Lopez-Tovar, H., Brostow, G.J. (2014). Learning Sketch-based 3D Modelling From A User's Sketching Gestures.
Lundell, H., Dyrby, T.B., Alexander, D.C. (2014). High angular resolution diffusion imaging with stimulated echoes: Compensation and correction in experiment design and analysis. NMR IN BIOMEDICINE, 27 (8), 918-925. doi:10.1002/nbm.3137
Mac Aodha, O., Campbell, N.D.F., Kautz, J., Brostow, G.J. (2014). Hierarchical Subquery Evaluation for Active Learning on a Graph.
Mac Aodha, O., Stathopoulos, V., Terry, M., Jones, K.E., Brostow, G.J., Girolami, M. (2014). Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning.
Malone, E., dos Santos, G.S., Holder, D., Arridge, S. (2014). Multifrequency Electrical Impedance Tomography Using Spectral Constraints.
Malone, E., Jehl, M., Arridge, S., Betcke, T., Holder, D. (2014). Stroke type differentiation using spectrally constrained multifrequency EIT: evaluation of feasibility in a realistic head model. Physiological measurement, 35 (6), 1051-.
Manber, R., Atkinson, D., Barnes, A., Hutton, B., O'Meara, C., Ourselin, S., ...Thielemans, K. (2014). Validation of a PET-derived Respiratory Signal by Comparison with an MRI Pencil-Beam Navigator Signal in Simultaneous PET/MR.
Manber, R., Thielemans, K., Hutton, B., Barnes, A., Ourselin, S., Arridge, S., ...Atkinson, D. (2014). Initial evaluation of a practical PET respiratory motion correction method in clinical simultaneous PET/MRI.
Markiewicz, P.J., Thielemans, K., Ehrhardt, M.J., Jiao, J., Burgos, N., Atkinson, D., ...Ourselin, S. (2014). High throughput CUDA implementation of accurate geometric modelling for iterative reconstruction of PET data.
Markiewicz, P., Thielemans, K., Burgos, N., Manber, R., Jiao, J., Barnes, A., ...Ourselin, S. (2014). Image reconstruction of mMR PET data using the open source software STIR.
Martin, J., McClelland, J., Champion, B., Hawkes, D.J. (2014). Building surrogate-driven motion models from cone-beam CT via surrogate-correlated optical flow.
Martin, J., McClelland, J., Champion, B., Hawkes, D.J. (2014). Building surrogate-driven motion models from cone-beam CT via surrogate-correlated optical flow.
Martin, J., McClelland, J., Yip, C., Thomas, C., Hartill, C., Ahmad, S., ...Hawkes, D. (2014). Fully-deformable patient motion models from cone-beam CT for radiotherapy applications. XVII INTERNATIONAL CONFERENCE ON THE USE OF COMPUTERS IN RADIATION THERAPY (ICCR 2013), 489 doi:10.1088/1742-6596/489/1/012034
McClelland, J.R., Champion, B.A.S., Hawkes, D.J. (2014). Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction.
Menys, A., Butt, S., Emmanuel, A., Zarate, N., Atkinson, D., Plumb, A., Taylor, S.A. (2014). Quantitative assessment of global small bowel motility in Chronic Intestinal Pseudo-Obstruction and controls: A Preliminary Study.
Menys, A., Hamy, V., Hoad, C., Makanyanga, J., Odille, F., Gowland, P., ...Atkinson, D. (2014). Dual Registration of Abdominal Motion in free-breathing data sets acquired using dynamic MRI.
Menys, A., Hamy, V., Makanyanga, J., Hoad, C., Gowland, P., Odille, F., ...Atkinson, D. (2014). Dual registration of abdominal motion for motility assessment in free-breathing data sets acquired using dynamic MRI. Physics in Medicine and Biology, 59 4603-4619. doi:10.1088/0031-9155/59/16/4603
Menys, A., Makanyanga, J., Pendse, D., Atkinson, D., Taylor, S. (2014). Changes in Global Small Bowel Motility in Response to Inflammation in Crohn’s Disease.
Menys, A., Plumb, A., Atkinson, D., Taylor, S.A. (2014). The challenge of segmental small bowel motility quantitation using Magnetic Resonance Enterography. British Journal of Radiology, 87 20140330.-. doi:10.1259/bjr.20140330
Mertzanidou, T., Hipwell, J., Dalmis, M., Platel, B., Van Der Laak, J., Mann, R., ...Hawkes, D. (2014). Towards spatial correspondence between specimen and in-vivo breast imaging.
Mertzanidou, T., Hipwell, J., Johnsen, S., Han, L., Eiben, B., Taylor, Z., ...Bick, U. (2014). MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.. MEDICAL IMAGE ANALYSIS, 18 (4), 674-683. doi:10.1016/j.media.2014.03.003
Mozumder, M., Tarvainen, T., Kaipio, J.P., Arridge, S.R., Kolehmainen, V. (2014). Compensation of modeling errors due to unknown domain boundary in diffuse optical tomography. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 31 (8), 1847-1855. doi:10.1364/JOSAA.31.001847
Nagy, Z., Ganepola, T., Sereno, M., Weiskopf, N., Alexander, D. (2014). Combining HARDI datasets with more than one b-value improves diffusion MRI-based cortical parcellation.
Nedjati-Gilani, G.L., Hall, M.G., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Learning microstructure parameters from diffusion-weighted MRI using random forests.
Nedjati-Gilani, G.L., Schneider, T., Hall, M.G., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2014). Machine learning based compartment models with permeability for white matter microstructure imaging.
Newell, A.J., Griffin, L.D. (2014). Writer identification using oriented Basic Image Features and the Delta encoding. PATTERN RECOGNITION, 47 (6), 2255-2265. doi:10.1016/j.patcog.2013.11.029
Odille, F., Escanye, J., Atkinson, D., Bonnemains, L., Felblinger, J. (2014). Nonrigid registration improves MRI T2 quantification in heart transplant patient follow-up. Journal of Magnetic Resonance Imaging, doi:10.1002/jmri.24741
Oxtoby, N.P., Young, A.L., Daga, P., Cash, D.M., Ourselin, S., Schott, J.M., ...Alexander, D.C. (2014). Learning imaging biomarker trajectories from noisy Alzheimer's disease data using a Bayesian multilevel model.
Panagiotaki, E., Chan, R.W., Dikaios, N., Ahmed, H., Atkinson, D., Punwani, S., ...Alexander, D.C. (2014). Microstructural characterisation of normal and malignant human prostate tissue with VERDICT-MRI.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Pedley, R.B., Lythgoe, M.F., Alexander, D.C. (2014). In vivo characterisation of tumour microstructure with VERDICT MRI.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Rajkumarc, V., Pedley, R., ...Alexander, D.C. (2014). Non-invasive quantification of solid tumor microstructure using VERDICT MRI. Cancer Research, doi:10.1158/0008-5472.CAN-13-2511
Pendse, D., Makanyanga, J., Plumb, A., Atkinson, D., Taylor, S. (2014). Diffusion MRI in Crohn's disease: Comparison with fecal calprotectin and MR-Enterography.
Pich, E.M., Jeromin, A., Frisoni, G.B., Hill, D., Lockhart, A., Schmidt, M.E., ...Potter, W.Z. (2014). Imaging as a biomarker in drug discovery for Alzheimer's disease: is MRI a suitable technology?. ALZHEIMERS RESEARCH & THERAPY, 6 (4), doi:10.1186/alzrt276
Protonotarios, E.D., Baum, B., Johnston, A., Hunter, G.L., Griffin, L.D. (2014). An absolute interval scale of order for point patterns.. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 11 (99), doi:10.1098/rsif.2014.0342
Protonotarios, E., Johnston, A., Griffin, L.D. (2014). An absolute interval scale for approximate order of 2D point patterns.
P.r.o.v.e.r.b.i.o., S.i.o.w., Panagiotaki, E., W.a.l.k.e.r.-.S.a.m.u.e.l., L.y.t.h.g.o.e., Gibson, A., Alexander, D.C. (2014). Mathematical models of colorectal tumour microstructure informed by oscillating gradients diffusion MRI.
Pulkkinen, A., Cox, B.T., Arridge, S.R., Kaipio, J.P., Tarvainen, T. (2014). A Bayesian approach to spectral quantitative photoacoustic tomography. INVERSE PROBLEMS, 30 (6), doi:10.1088/0266-5611/30/6/065012
Pulkkinen, A., Kolehmainen, V., Kaipio, J.P., Cox, B.T., Arridge, S.R., Tarvainen, T. (2014). APPROXIMATE MARGINALIZATION OF UNKNOWN SCATTERING IN QUANTITATIVE PHOTOACOUSTIC TOMOGRAPHY. INVERSE PROBLEMS AND IMAGING, 8 (3), 811-829. doi:10.3934/ipi.2014.8.811
Richardson, S., Siow, B., Panagiotaki, E., Schneider, T., Lythgoe, M.F., Alexander, D.C. (2014). Viable and fixed white matter: diffusion magnetic resonance comparisons and contrasts at physiological temperature.. MAGNETIC RESONANCE IN MEDICINE, 72 (4), 1151-1161. doi:10.1002/mrm.25012
Rogers, T.W., Ollier, J., Morton, E.J., Griffin, L.D. (2014). Reduction of Wobble Artefacts in Images From Mobile Transmission X-ray Vehicle Scanners.
Roth, H.R., Hampshire, T.E., Helbren, E., Hu, M., Vega, R., Halligan, S., Hawkes, D.J. (2014). Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. MEDICAL IMAGING 2014: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 9036 doi:10.1117/12.2042860
Sahraian, M.A., Wottschel, V., Calabrese, M., Eshaghi, A., Alexander, D., Ciccarelli, O. (2014). Distinction between neuromyelitis optica and multiple sclerosis using multi-voxel pattern classification.
Sari, H., Erlandsson, K., Barnes, A., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2014). Modelling the impact of injection time on the bolus shapes in PET-MRI AIF conversion.
Sari, H., Erlandsson, K., Barnes, A., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2014). Exploiting an MRI Derived Arterial Input Function to Improve the PET Simultaneous Estimation Method: Validation of Assumptions.
Sari, H., Erlandsson, K., Thielemans, K., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. (2014). Incorporation of MRI-AIF information for improved kinetic modelling of dynamic PET data..
Schweiger, M., Arridge, S. (2014). The Toast plus plus software suite for forward and inverse modeling in optical tomography. JOURNAL OF BIOMEDICAL OPTICS, 19 (4), doi:10.1117/1.JBO.19.4.040801
Soloviev, V.Y., Correia, T.M., Arridge, S.R. (2014). Fluorescence lifetime imaging in turbid media. In Fluorescence Lifetime Spectroscopy and Imaging: Principles and Applications in Biomedical Diagnostics. (pp. 283-319). .
Stoeck, C., Kalinowska, A., von Deuster, C., Harmer, J., Chan, R., Niemann, M., ...Mekkaoui, C. (2014). Dual-phase cardiac diffusion tensor imaging with strain correction. PLoS One, 9 (9), e107159-. doi:10.1371/journal.pone.0107159
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2014). NODDI with dispersion anisotropy.
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2014). In vivo estimation of dispersion anisotropy of neurites using diffusion MRI. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. (pp. 241-248). .
Tariq, M., Schneider, T., Alexander, D., Wheeler-Kingshott, C., Zhang, H. (2014). NODDI with dispersion anisotropy.
Totz, J., Thompson, S., Stoyanov, D., Gurusamy, K., Davidson, B., Hawkes, D., Clarkson, M. (2014). Fast semi-dense surface reconstruction from stereoscopic video in laparoscopic surgery..
Tremoulheac, B.R., Atkinson,, D., Arridge,, S. (2014). Low-rank and (x-f)-space sparsity via fast composite splitting for accelerated dynamic MR imaging.
Tremoulheac, B.R., Dikaios,, N., Atkinson,, D., Arridge, S. (2014). Dynamic MR image reconstruction–separation from undersampled (k,t)-space via low-rank plus sparse prior. IEEE Transactions on Medical Imaging, 33 (8), 1689-1701. doi:10.1109/TMI.2014.2321190
Usman, M., Atkinson, D., Greil, G., Schaeffter, T., Prieto, C. (2014). Motion corrected sparse SENSE for highly accelerated multi slice cardiac CINE.
Usman, M., Atkinson, D., Kolbitsch, C., Schaeffter, T., Prieto, C. (2014). Manifold learning based ECG-free free breathing cardiac CINE MRI. Journal of Magnetic Resonance Imaging, 41 (6), 1521-1527. doi:10.1002/jmri.24731
Usman, M., Atkinson, D., Schaeffter, T., Prieto, C. (2014). Manifold Learning based ECG-free free breathing cardiac MRI for highly accelerated CINE.
Usman, M., Baumgartner, C., King, A., Atkinson, D., Schaeffter, T., Prieto, C. (2014). Achieving 3D CINE from free breathing multi-slice 2D acquisitions via Simultaneous Groupwise Manifold Alignment.
Usman, M., Vaillant, G., Atkinson, D., Schaeffter, T., Prieto, C. (2014). Compressive Manifold Learning: Estimating One-Dimensional Respiratory Motion Directly from Undersampled k-Space Data. MAGNETIC RESONANCE IN MEDICINE, 72 (4), 1130-1140. doi:10.1002/mrm.25010
Vendhan, K., Atkinson, D., Sen, D., Fishe, C., Ioannou, Y., Bassett, P., Hall-Craggs, M. (2014). A NOVEL METHOD FOR QUANTIFYING INFLAMMATION OF SACROILIITIS IN JUVENILE ARTHRITIS.
Wang, P., Arridge, S.R., Jiang, M. (2014). Radiative transfer equation for media with spatially varying refractive index. PHYSICAL REVIEW A, 90 (2), doi:10.1103/PhysRevA.90.023803
Wolz, R., Schwarz, A.J., Yu, P., Cole, P.E., Rueckert, D., Jack, C.R., ...Hill, D. (2014). Robustness of automated hippocampal volumetry across magnetic resonance field strengths and repeat images. Alzheimer's and Dementia, 10 (4), 430-438.e2. doi:10.1016/j.jalz.2013.09.014
Wottschel, V., Alexander, D.C., Chard, D.T., Ciccarelli, O., Miller, D.H. (2014). Prediction of time between CIS onset and clinical conversion to MS using Random Forests.
Wottschel, V., Alexander, D.C., Kwok, P.P., Chard, D.T., Thompson, A.J., Miller, D.H., Ciccarelli, O. (2014). Predicting outcome in clinically isolated syndrome using machine learning. NeuroImage,
Young, A.L., Oxtoby, N.P., Daga, P., Cash, D.M., Fox, N.C., Ourselin, S., ...Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2014). A data-driven model of biomarker changes in sporadic Alzheimer's disease.. BRAIN, 137 2564-2577. doi:10.1093/brain/awu176
Yu, P., Sun, J., Wolz, R., Stephenson, D., Brewer, J., Fox, N.C., ...Schwarz, A.J. (2014). Operationalizing hippocampal volume as an enrichment biomarker for amnestic mild cognitive impairment trials: effect of algorithm, test-retest variability, and cut point on trial cost, duration, and sample size. NEUROBIOLOGY OF AGING, 35 (4), 808-818. doi:10.1016/j.neurobiolaging.2013.09.039

2013

Alexander, D.C., Dyrby, T.B. (2013). Diffusion imaging with stimulated echoes: signal models and experiment design. ArXiv,
Boone, D.J., Halligan, S., Roth, H.R., Hampshire, T.E., Helbren, E., Slabaugh, G.G., ...Punwani, S. (2013). CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration.. RADIOLOGY, 268 (3), 752-760. doi:10.1148/radiol.13122083
Bourne, R.M., Panagiotaki, E., Bongers, A., Sved, P., Watson, G., Alexander, D.C. (2013). Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magnetic Resonance in Medicine, doi:10.1002/mrm.25032
Burgos, N., Cardoso, J.M., Modat, M., Pedemonte, S., Dickson, J., Barnes, A., ...Hutton, B.F. (2013). Attenuation Correction Synthesis for Hybrid PET-MR Scanners.
Campanella, M., Molinari, E., Baraldi, P., Nocetti, L., Porro, C.A., Alexander, D.C. (2013). An algorithm to estimate anatomical connectivity between brain regions using diffusion MRI. MAGNETIC RESONANCE IMAGING, 31 (3), 353-358. doi:10.1016/j.mri.2012.10.001
Campanella, M., Molinari, E., Baraldi, P., Nocetti, L., Porro, C.A., Alexander, D.C. (2013). An algorithm to estimate anatomical connectivity between brain regions using diffusion MRI. Magnetic Resonance Imaging, 31 (3), 353-358. doi:10.1016/j.mri.2012.10.001
Campbell-Washburn, A.E., Atkinson, D., Josephs, O., Lythgoe, M.F., Ordidge, R.J., Thomas, D.L. (2013). Correction of RF spike noise in MR images using Robust Principal Component Analysis.
Chan, R.W., Kozerke, S., Giese, D., Harmer, J., Stoeck, C.T., von Deuster, C., ...Atkinson, D. (2013). Characterization and correction of eddy-current artifacts in unipolar and bipolar diffusion sequences using a field-monitoring approach: Application to renal diffusion tensor imaging (DTI).
Correia, T., Rudge, T., Arridge, S. (2013). Efficient image reconstruction in fluorescence diffuse opitcal tomography (fDOT) using data and solution compression.
Dikaios, N., Alazeez, M.A., Emberton, M., Fujiwara, T., Atkinson, D., Punwani, S. (2013). Derivation and comparison of site specific peripheral and transition zone quantitative DCE MRI logistic regression models for prostate cancer detection: does cancer location matter?.
Dikaios, N., Atkinson, D. (2013). Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhancement MRI.
Drobnjak, I., Cruz, G., Alexander, D.C. (2014). Corrigendum to "Optimising oscillating waveform-shape for pore size sensitivity in diffusion-weighted MR" [Micropor. Mesopor. Mater. 178 (2013) 11-14] (DOI:10.1016/j.micromeso.2013.03.004). MICROPOROUS AND MESOPOROUS MATERIALS, 196 360. doi:10.1016/j.micromeso.2014.03.001
Ducros, N., Bassi, A., Valentini, G., Canti, G., Arridge, S., D'Andrea, C. (2013). Fluorescence Molecular Tomography on animal model by means of multiple views structured light illumination.
Ducros, N., Bassi, A., Valentini, G., Canti, G., Arridge, S., D'Andrea, C. (2013). Fluorescence molecular tomography of an animal model using structured light rotating view acquisition. JOURNAL OF BIOMEDICAL OPTICS, 18 (2), doi:10.1117/1.JBO.18.2.020503
Dyrby, T.B., Søgaard, L.V., Ptito, M., Hall, M.G., Alexander, D.C. (2013). Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI. MAGNETIC RESONANCE IN MEDICINE, 70 (3), 711-721. doi:10.1002/mrm.24501
Eiben, B., Han, L., Hipwell, J., Mertzanidou, T., Kabus, S., Buelow, T., ...Keshtgar, M. (2013). Biomechanically guided prone-to-supine image registration of breast MRI using an estimated reference state.
Ferizi, U., Schneider, T., Panagiotaki, E., Nedjati-Gilani, G., Zhang, H., Wheeler-Kingshott, C.A.M., Alexander, D.C. (2013). A ranking of diffusion MRI compartment models with in vivo human brain data. Magnetic Resonance in Medicine, doi:10.1002/mrm.25080
Griffin, L.D. (2013). Basic Colors and Image Features: The Case for an Analogy. In Albertazzi, L. (Ed.), Handbook of Experimental Phenomenology. (pp. 449-476). John Wiley & Sons.
Griffin, L.D., Wahab, M.H., Newell, A.J. (2013). Distributional Learning of Appearance. PLoS ONE, 8 (2), e58074-. doi:10.1371/journal.pone.0058074
Grussu, F., Schneider, T., Zhang, H., Alexander, D.C., Wheeler-Kingshott, C.A.M. (2013). In vivo estimation of neuronal orientation dispersion and density of the human spinal cord.
Hampshire, T., Roth, H.R., Helbren, E., Plumb, A., Boone, D., Slabaugh, G., ...Hawkes, D.J. (2013). Endoluminal surface registration for CT colonography using haustral fold matching. MEDICAL IMAGE ANALYSIS, 17 (8), 946-958. doi:10.1016/j.media.2013.04.006
Harmer, J., Pushparajah, K., Toussaint, N., Stoeck, C.T., Chan, R., Atkinson, D., ...Kozerke, S. (2013). In vivo myofibre architecture in the systemic right ventricle. European Heart Journal, 34 (47), 3640. doi:10.1093/eurheartj/eht442
Harmer, J., Toussaint, N., Pushparajah, K., Stoeck, C.T., Chan, R.W., Razavi, R., ...Kozerke, S. (2013). In-vivo Diffusion Tensor Imaging of the systemic right ventricle at 3T.
Ianus, A., Siow, B., Drobnjak, I., Zhang, H., Alexander, D.C. (2013). Gaussian Phase Distribution Approximations forOscillating Gradient Spin Echo Diffusion MRI. Journal of Magnetic Resonance, 227 25-34. doi:10.1016/j.jmr.2012.11.021
Kaden, E., Alexander, D.C. (2013). Can T2-spectroscopy resolve submicrometer axon diameters?.
Kaden, E., Alexander, D.C. (2013). Can T2-spectroscopy resolve submicrometer axon diameters?. Information processing in medical imaging : proceedings of the ... conference, 23 607-618.
Kowalik, G., Steeden, J., Atkinson, D., Taylor, A., Muthurangu, V. (2013). Implementation of a heterogeneous image reconstruction system for clinical Magnetic Resonance.
Kunz, N., Zhang, H., Assaf, Y., Lazeyras, F., Alexander, D., Hüppi, P.S. (2013). Brain Microstructure assessed by CHARMED and NODDI in the newborn.
Martin, J., McClelland, J., Yip, C., Thomas, C., Hartill, C., Ahmad, S., ...Hawkes, D. (2013). Building motion models of lung tumours from cone-beam CT for radiotherapy applications.. PHYSICS IN MEDICINE AND BIOLOGY, 58 (6), 1809-1822. doi:10.1088/0031-9155/58/6/1809
Menys, A., Taylor, S.A., Emmanuel, A., Ahmed, A., Plumb, A., Odille, F., ...Atkinson, D. (2013). A novel technique for global small bowel motility assessment using dynamic MRI.
Menys, A., Taylor, S.A., Emmanuel, A., Ahmed, A., Plumb, A., Odille, F., ...Atkinson, D. (2013). Global small bowel motility: Assessment with dynamic MR imaging. Radiology, 269 (2), 443-450. doi:10.1148/radiol.13130151
Mozumder, M., Tarvainen, T., Arridge, S.R., Kaipio, J., Kolehmainen, V. (2013). Compensation of optode sensitivity and position errors in diffuse optical tomography using the approximation error approach. BIOMEDICAL OPTICS EXPRESS, 4 (10), 2015-2031. doi:10.1364/BOE.4.002015
Panagiotaki, E., Alexander, D.C., Bourne, R.M. (2013). Comparison of single and multi-compartment models of diffusion in fixed prostate tissue.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, P., Pedley, R., Lythgow, M.F., Alexander, D.C. (2013). In vivo characterisation of colorectal tumour microstructure with DW-MRI.
Panagiotaki, E., Walker-Samuel, S., Siow, B., Johnson, S.P., Pedley, R.B., Lythgoe, M.F., Alexander, D.C. (2013). In vivo characterisation of tumour microstructure with VERDICT MRI.
Roth, H.R., McClelland, J.R., Modat, M., Hampshire, T.E., Boone, D.J., Helbren, E., ...Halligan, S. (2013). CT colonography: Inverse-consistent symmetric registration of prone and supine inner colon surfaces.
Rowe, M.C., Zhang, H., Oxtoby, N., Alexander, D.C. (2013). Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure. In Information Processing in Medical Imaging. (pp. 402-413). .
Rowe, M., Zhang, H.G., Oxtoby, N., Alexander, D.C. (2013). Beyond crossing fibers: tractography exploiting sub-voxel fibre dispersion and neighbourhood structure.. Information processing in medical imaging : proceedings of the ... conference, 23 402-413.
Saratoon, T., Tarvainen, T., Arridge, S.R., Cox, B.T. (2013). 3D quantitative photoacoustic tomography using the delta-Eddington approximation.
Saratoon, T., Tarvainen, T., Cox, B.T., Arridge, S.R. (2013). A gradient-based method for quantitative photoacoustic tomography using the radiative transfer equation. INVERSE PROBLEMS, 29 (7), doi:10.1088/0266-5611/29/7/075006
Siow, B.M.C.W., Drobnjak, I., Ianus, A., Christie, I.N., Lythgoe, M.F., Alexander, D.C. (2013). Axon radius estimation with Oscillating Gradient Spin Echo (OGSE) Diffusion MRI. Diffusion Fundamentals, 18 (1), 1-6.
Siow, B.M.C.W., Hubbard, P.L., d’Esposito, A., Lythgoe, M.F., Alexander, D.C. (2013). Diffusion-diffusion Exchange Spectroscopic Imaging (DEXSI) MRI in a rat corpus callosum.
Tariq, M., Schneider, T., Alexander, D.C., Wheeler-Kingshott, C.A.M., Zhang, H. (2013). Assessing scan-rescan reproducibility of the parameter estimates from NODDI.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Image reconstruction in quantitative photoacoustic tomography using the radiative transfer equation and the diffusion approximation.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Image reconstruction in quantitative photoacoustic tomography using the radiative transfer equation and the diffusion approximation.
Tarvainen, T., Pulkkinen, A., Cox, B.T., Kaipio, J.P., Arridge, S.R. (2013). Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING, 32 (12), 2287-2298. doi:10.1109/TMI.2013.2280281
Thompson, S., Penney, G., Billia, M., Challacombe, B., Hawkes, D., Dasgupta, P. (2013). Design and evaluation of an image-guidance system for robot-assisted radical prostatectomy.. BJU INTERNATIONAL, 111 (7), 1081-1090. doi:10.1111/j.1464-410X.2012.11692.x
Thompson, S., Penney, G., Dasgupta, P., Hawkes, D. (2013). Improved Modelling of Tool Tracking Errors by Modelling Dependent Marker Errors. IEEE TRANSACTIONS ON MEDICAL IMAGING, 32 (2), 165-177. doi:10.1109/TMI.2012.2216890
Tremoulheac, B., Atkinson, D., Arridge, S. (2013). Fast dynamic MRI via nuclear norm minimization and accelerated proximal gradient.
von Deuster, C., Stoeck, C.T., Giese, D., Harmer, J., Chan, R.W., Atkinson, D., Kozerke, S. (2013). Concurrent dual-slice cardiac DTI of the in-vivo human heart.
Winston, G., Micallef, C., Symms, M., Alexander, D.C., Duncan, J.S., Zhang, H. (2013). Advanced diffusion imaging sequences could aid assessing patients with focal cortical dysplasia and epilepsy. Epilepsy Research, doi:10.1016/j.eplepsyres.2013.11.004
Winston, G.P., Symms, M.R., Alexander, D.C., Duncan, J.S., Zhang, H. (2013). Clinical utility of NODDI in assessing patients with epilepsy due to focal cortical dysplasia.
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