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Sebastien Ourselin

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Sebastien Ourselin

 

I am Head of the Translational Imaging Group (TIG) within CMIC.

My personal page moved here...

Interested to do a PhD or PostDoc in my group? Please send me an e-mail or look at the current positions we have available.


The 24th biennial International Conference on Information Processing in Medical Imaging (IPMI 2015) will be held at the Sabhal Mor Ostaig Conference Center in the Isle of Skye on June 28 - July 3, 2015. This conference is the latest in a series where novel developments in the acquisition, formation, analysis and display of medical images are presented, discussed, dissected, and extended.

 

 

 

Publications

2018

Fidon, L., Li, W., García-Peraza-Herrera, L.C., Ekanayake, J., Kitchen, N., Ourselin, S., Vercauteren, T. (2018). Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks..
Hauptmann, A., Lucka, F., Betcke, M., Huynh, N., Adler, J., Cox, B., ...Arridge, S. (2018). Model based learning for accelerated, limited-view 3D photoacoustic tomography. IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2018.2820382
Parker, C., Clayden, J., Cardoso, M., Rodionov, R., Duncan, J., Scott, C., ...Ourselin, S. (2018). Structural and effective connectivity in focal epilepsy. NeuroImage: Clinical, doi:10.1016/j.nicl.2017.12.020
Pichat, J., Iglesias, J.E., Nousias, S., Yousry, T., Ourselin, S., Modat, M. (2018). Part-to-whole Registration of Histology and MRI using Shape Elements.
Vakharia, V.N., Rodionov, R., McEvoy, A.W., Miserocchi, A., Sparks, R., O'Keeffe, A., ...Duncan, J.S. (2018). Improving patient safety during introduction of novel medical devices through cumulative summation analysis. Journal of Neurosurgery, doi:10.3171/2017.8.JNS17936
Wang, G., Li, W., Ourselin, S., Vercauteren, T. (2018). Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10670 LNCS 178-190. doi:10.1007/978-3-319-75238-9_16

2017

Alley, S., Grussu, F., Yiannakas, M., Kearney, H., Ciccarelli, O., Prados Carrasco, F., ...Wheeler-Kingshott, C. (2017). A ranking of pipelines for optimal co-registration of anatomical and diffusion weighted images of the cervical spinal cord.
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
Battiston, M., Schneider, T., Prados, F., Grussu, F., Yiannakas, M., Ourselin, S., ...Samson, R. (2017). Reproducible Fast T₁ mapping of the human cervical spinal cord in vivo.
Bergeles, C., Dubis, A., Davidson, B., Kalitzeos, A., Kasilian, M., Carroll, J., ...Ourselin, S. (2017). Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images. Biomedical Optics Express, doi:10.1364/BOE.8.003081
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
Brownlee, W.J., Tur, C., Manole, A., Psatha, M., Eshaghi, A., Prados, F., ...Miller, D.H. (2017). HLA-DRB1*1501 is associated with development of disability and brain MRI abnormalities over the first 15 years after a clinically isolated syndrome.
Brown, W.L., Pardini, M., Brownlee, W.J., Fernando, K., Samson, R., Prados Carrasco, F., ...Chard, D.T. (2017). An abnormal periventricular magnetisation transfer ratio gradient occurs early in multiple sclerosis.. Brain,
Burgos, N., Guerreiro, F., McClelland, J., Presles, B., Modat, M., Nill, S., ...Knopf, A. (2017). Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning. Physics in Medicine and Biology, doi:10.1088/1361-6560/aa66bf
Carass, A., Roy, S., Jog, A., Cuzzocreo, J.L., Magrath, E., Gherman, A., ...Sudre, C.H. (2017). Longitudinal multiple sclerosis lesion segmentation: Resource and challenge. NEUROIMAGE, 148 77-102. doi:10.1016/j.neuroimage.2016.12.064
Cawley, N., Tur Gomez, C., Prados Carrasco, F., Plantone, D., Kearney, H., Abdel-Aziz, K., ...Thompson, A.J. (2017). Spinal cord atrophy as a primary outcome measure in phase II trials of progressive multiple sclerosis.. Multiple Sclerosis, doi:10.1177/1352458517709954
Chan, D., Binks, S., Nicholas, J.M., Frost, C., Cardoso, M.J.J., Ourselin, S., ...Chataway, J. (2017). The effect of high-dose simvastatin on cognitive, neuropsychiatric and health related quality of life measures in secondary progressive multiple sclerosis: secondary and post-hoc analyses from the MS-STAT randomised placebo-controlled trial. Lancet Neurology, The, doi:10.1016/S1474-4422(17)30113-8
Clayton, E.L., Mancuso, R., Nielsen, T.T., Mizielinska, S., Holmes, H., Powell, N., ...Wilson, K.M. (2017). Early microgliosis precedes neuronal loss and behavioural impairment in mice with a frontotemporal dementia-causing CHMP2B mutation.. Hum Mol Genet, doi:10.1093/hmg/ddx003
Cordeiro, M.F., Normando, E.M., Cardoso, M.J., Miodragovic, S., Jeylani, S., Davis, B.M., ...Bloom, P.A. (2017). Real-time imaging of single neuronal cell apoptosis in patients with glaucoma.. Brain, doi:10.1093/brain/awx088
Desjardins, A., Mosse, C., Colchester, R., Noimark, S., Alles, E., Zhang, E., ...Beard, P. (2017). All-Optical Pulse-Echo Ultrasound Imaging for Guiding Minimally Invasive Procedures.
Ebner, M., Chung, K., Prados Carrasco, F., Cardoso, M.J., Chard, D.T., Vercauteren, T., Ourselin, S. (2017). Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.. NeuroImage, doi:10.1016/j.neuroimage.2017.09.056
Fidon, L., Li, W., García-Peraza-Herrera, L.C., Ekanayake, J., Kitchen, N., Ourselin, S., Vercauteren, T. (2017). Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation..
García-Peraza-Herrera, L.C., Li, W., Fidon, L., Gruijthuijsen, C., Devreker, A., Attilakos, G., ...Vercauteren, T. (2017). ToolNet: Holistically-nested real-time segmentation of robotic surgical tools..
Garcia Peraza Herrera, L.C., Li, W., Gruijthuijsen, C., Devreker, A., Attilakos, G., Deprest, J., ...Ourselin, S. (2017). Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking.
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., 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.
Guerreiro, F., Burgos, N., Dunlop, A., Wong, K., Petkar, I., Nutting, C., ...Dearnaley, D. (2017). Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning. Physica Medica, doi:10.1016/j.ejmp.2017.02.017
Holmes, H.E., Powell, N.M., Ma, D., Ismail, O., Harrison, I.F., Wells, J.A., ...Murray, T.K. (2017). Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. FRONTIERS IN NEUROINFORMATICS, 11 doi:10.3389/fninf.2017.00020
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., 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.
Kinnunen, K.M., Cash, D.M., Poole, T., Frost, C., Benzinger, T.L.S., Ahsan, R.L., ...Malone, I.B. (2017). Presymptomatic atrophy in autosomal dominant Alzheimer’s disease: a serial MRI study. Alzheimer's and Dementia, doi:10.1016/j.jalz.2017.06.2268
Lane, C.A., Parker, T.D., Cash, D.M., Macpherson, K., Donnachie, E., Murray-Smith, H., ...Bras, J. (2017). Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development. BMC Neurology, 17 (1), doi:10.1186/s12883-017-0846-x
Latifoltojar, A., Hall-Craggs, M., Bainbridge, A., Rabin, N., Popat, R., Rismani, A., ...Antonelli, M. (2017). Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction. European Radiology, 1-12. doi:10.1007/s00330-017-4907-8
Li, W., Wang, G., Fidon, L., Ourselin, S., C.a.r.d.o.s.o., V.e.r.c.a.u.t.e.r.e.n. (2017). On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.
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.
Magee, E.G., Ourselin, S., Nikitichev, D., Vercauteren, T., Vanhoestenberghe, A. (2017). The Bionic Clicker Mark I & II. Journal of Visualized Experiments,
Marcus, H.J., Vercauteren, T., Ourselin, S., Dorward, N.L. (2017). Intraoperative Ultrasound in Patients Undergoing Transsphoidal Surgery for Pituitary Adenoma: Systematic Review. World Neurosurgery, 106 680-685. doi:10.1016/j.wneu.2017.07.054
Melbourne, A., Pratt, R., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., ...David, A. (2017). DECIDE: Diffusion-RElaxation Combined Imaging for Detailed Placental Evaluation.
Mendelson, A.F., Zuluaga, M.A., Lorenzi, M., Hutton, B.F., Ourselin, S. (2017). Selection bias in the reported performances of AD classification pipelines. NeuroImage: Clinical, 14 400-416. doi:10.1016/j.nicl.2016.12.018
Moriconi, S., Zuluaga, M.A., Jäger, H.R., Nachev, P., Ourselin, S., Cardoso, M.J. (2017). VTrails: Inferring vessels with geodesic connectivity trees.
Mutsaerts, H.J.M.M., Petr, J., Thomas, D.L., Vita, E.D., Cash, D.M., Osch, M.J.P.V., ...Swieten, J.V. (2017). Comparison of arterial spin labeling registration strategies in the multi-center GENetic frontotemporal dementia initiative (GENFI).. Journal of magnetic resonance imaging : JMRI, doi:10.1002/jmri.25751
Nikitichev, D.I., Shakir, D.I., Chadebecq, F., Tella, M., Deprest, J., Stoyanov, D., ...Vercauteren, T. (2017). Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration. Journal of Visualized Experiments,
Nikitichev, D.I., Xia, W., West, S.J., Desjardins, A.E., Ourselin, S., Vercauteren, T. (2017). Three-dimensional printed ultrasound and photoacoustic training phantoms for vasculature access.
Ourselin, S., Sabuncu, M.R., Wells, W., Joskowicz, L., Unal, G., Maier, A. (2017). The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016). Medical Image Analysis, 41 1. doi:10.1016/j.media.2017.06.012
Ourselin, S., Sabuncu, M.R., Wells, W., Joskowicz, L., Unal, G., Maier, A. (2017). Guest editorial of the IJCARS MICCAI 2016 special issue. International Journal of Computer Assisted Radiology and Surgery, 12 (8), 1243-1244. doi:10.1007/s11548-017-1642-1
Owen, D., Melbourne, A., Sokolska, M., Thomas, D.L., Rohrer, J., Ourselin, S. (2017). Bayesian experimental design for multi-parametric T1/T2 relaxometry and diffusion.
Owen, D., Melbourne, A., Thomas, D.L., Beckmann, J., Rohrer, J., Marlow, N., Ourselin, S. (2017). ADRIMO: Anatomy-DRIven MOdelling of spatial correlation to improve analysis of arterial spin labelling data.
Prados Carrasco, F., Ashburner, J., Blaiotta, C., Brosch, T., Carballido-Gamio, J., Cardoso, M.J., ...De Leener, B. (2017). Spinal cord grey matter segmentation challenge. Neuroimage, doi:10.1016/j.neuroimage.2017.03.010
Prados Carrasco, F., C.a.r.d.o.s.o., Yiannakas, M., Kanber, B., Kearney, H., Wheeler-Kingshott, C., Ourselin, S. (2017). A patch-based method for lesion in-painting in the spinal cord.
Prados Carrasco, F., Nikitichev, D., Cardoso, M.J., Vercauteren, T., Ourselin, S. (2017). Patient-specific 3D Printable Anatomical Brain Models from a Web App.
Prados Carrasco, F., Ozgur, Y., C.a.r.d.o.s.o., Yiannakas, M., Grussu, F., Ruberte, E., ...Ourselin, S. (2017). Boundary shift integral to compute brain and cervical spinal cord longitudinal volume changes using the same 3DT1w volumetric scans in multiple sclerosis.
Premi, E., Grassi, M., van Swieten, J., Galimberti, D., Graff, C., Masellis, M., ...Laforce, R. (2017). Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: a GENFI study.. Brain : a journal of neurology, doi:10.1093/brain/awx103
Samson, R.S., Cardoso, M.J., Muhlert, N., Sethi, V., Yaldizi, O., Ron, M.A., ...Wheeler-Kingshott, C.A.M. (2017). Investigation of outer and inner cerebellar MTR abnormalities in different MS clinical subtypes.
Samson, R.S., Cardoso, M.J., Muhlert, N., Sethi, V., Yaldizli, Ö., Ron, M.A., ...Wheeler-Kingshott, C.A.M. (2017). Longitudinal outer and inner cortical MTR abnormalities in different MS clinical phenotypes.
Sharma, N., Pedreira, C., Centeno, M., Chaudhary, U.J., Wehner, T., Franca, L.G.S., ...Vos, S.B. (2017). A Novel Scheme for the Validation of an Automated Classification Method for Epileptic Spikes by Comparison with Multiple Observers. Clinical Neurophysiology, doi:10.1016/j.clinph.2017.04.016
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
Sparks, R., Vakharia, V., Rodionov, R., Vos, S.B., Diehl, B., Wehner, T., ...Ourselin, S. (2017). Anatomy-driven multiple trajectory planning (ADMTP) of intracranial electrodes for epilepsy surgery.. International journal of computer assisted radiology and surgery, doi:10.1007/s11548-017-1628-z
Sudre, C.H., Anson, B.G., Davagnanamd, I., Schmitt, A., Mendelson, A.F., Prados, F., ...Chaturvedi, N. (2017). Bullseye's representation of cerebral white matter hyperintensities.. Journal of neuroradiology. Journal de neuroradiologie, doi:10.1016/j.neurad.2017.10.001
Sudre, C.H., Bocchetta, M., Cash, D., Thomas, D.L., Woollacott, I., Dick, K.M., ...Masellis, M. (2017). White matter hyperintensities are seen only in GRN mutation carriers in the GENFI cohort. NeuroImage: Clinical, 15 171-180. doi:10.1016/j.nicl.2017.04.015
Sudre, C.H., Cardoso, M.J., Frost, C., Barnes, J., Barkhof, F., Fox, N., Ourselin, S. (2017). APOE ε4 status is associated with white matter hyperintensities volume accumulation rate independent of AD diagnosis. Neurobiology of Aging, 53 67-75. doi:10.1016/j.neurobiolaging.2017.01.014
Sudre, C.H., Cardoso, M.J., Ourselin, S. (2017). Longitudinal segmentation of age-related white matter hyperintensities. MEDICAL IMAGE ANALYSIS, 38 50-64. doi:10.1016/j.media.2017.02.007
Sudre, C.H., Li, W., Vercauteren, T., Ourselin, S., Cardoso, M.J. (2017). Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations..
Thompson, S., Meurer, Y., Edwards, P., Ramalhinho, J., Robu, M.R., Stoyanov, D., ...Clarkson, M.J. (2017). On Pattern Selection for Laparoscope Calibration.
Tur, C., Grussu, F.G., Prados, C.a.r.r.a.s.c.o., Charalambous, T.C., Collorone, S.C., Cawley, N.C., ...Barkhof, F.B. (2017). Impact off acquisition strategies and spherical deconvolution algorithms on brain connectivity mapping in early multiple sclerosis.
Vakharia, V.N., Sparks, R., O'Keeffe, A.G., Rodionov, R., Miserocchi, A., McEvoy, A., ...Duncan, J. (2017). Accuracy of intracranial electrode placement for stereoencephalography: A systematic review and meta-analysis.. Epilepsia, doi:10.1111/epi.13713
Winston, G.P., Vos, S.B., Burdett, J.L., Cardoso, M.J., Ourselin, S., Duncan, J.S. (2017). Automated T2 relaxometry of the hippocampus for temporal lobe epilepsy.. Epilepsia, doi:10.1111/epi.13843
Xia, W., Noimark, S., Ourselin, S., West, S., Finlay, M., David, A., Desjardins, A. (2017). Ultrasonic Needle Tracking with a Fibre-optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery. In MICCAI 2017. .
Xia, W., West, S.J., Finlay, M.C., Mari, J., Ourselin, S., David, A.L., Desjardins, A.E. (2017). Looking beyond the imaging plane: 3D needle tracking with a linear array ultrasound probe. Scientific Reports, 7 (1), 3674. doi:10.1038/s41598-017-03886-4
Xie, Y., Thom, M., Miserocchi, A., McEvoy, A.W., Desjardins, A., Ourselin, S., Vercauteren, T. (2017). Multi-scale spectrally resolved quantitative fluorescence imaging system: Towards neurosurgical guidance in glioma resection.
Xie, Y., Tisca, C., Peveler, W., Noimark, S., Desjardins, A.E., Parkin, I.P., ...Vercauteren, T. (2017). Development and characterisation of a brain tumour mimicking protoporphyrin IX fluorescence phantom (Conference Presentation).

2016

Andrews, K.A., Frost, C., Modat, M., Cardoso, M.J., Rowe, C.C., Villemagne, V., ...Schott, J.M. (2016). Acceleration of hippocampal atrophy rates in asymptomatic amyloidosis. NEUROBIOLOGY OF AGING, 39 99-107. doi:10.1016/j.neurobiolaging.2015.10.013
Atehortua, A., Zuluaga, M.A., Ourselin, S., Giraldo, D., Romero, E. (2016). Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach.
Battiston, M., Grussu, F., Fairney, J., Prados, F., Ourselin, S., Cercignani, M., ...Samson, R. (2016). In vivo quantitative Magnetisation Transfer in the cervical spinal cord using reduced Field-of-View imaging: a feasibility study.
Biffi, B., Zuluaga, M.A., Ourselin, S., Taylor, A.M., Schievano, S. (2016). Papillary muscle segmentation from a multi-atlas database: A feasibility study.
Bocchetta, M., Cardoso, M.J., Cash, D.M., Ourselin, S., Warren, J.D., Rohrer, J.D. (2016). Patterns of regional cerebellar atrophy in genetic frontotemporal dementia. NEUROIMAGE-CLINICAL, 11 287-290. doi:10.1016/j.nicl.2016.02.008
Bocchetta, M., Gordon, E., Marshall, C.R., Slattery, C.F., Cardoso, M.J., Cash, D.M., ...Frisoni, G.B. (2016). The habenula: an under-recognised area of importance in frontotemporal dementia?. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 87 (8), 910-U135. doi:10.1136/jnnp-2015-312067
Bocchetta, M., Toussaint, N., Hutel, M., Modat, M., Cardoso, M.J., Gordon, E., ...Borroni, B. (2016). Multimodal imaging analysis of C9orf72-associated FTD in the Genetic Frontotemporal dementia Initiative (GENFI) 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
Brownlee, W.J., Da Mota, P.A., Prados, F., Solanky, B., Riemer, F., Cardoso, M.J., ...Miller, D.H. (2016). Increased cortical and deep grey matter sodium concentration is associated with physical and cognitive disability in relapse-onset multiple sclerosis..
Burgos, N.F., Guerreiro, F., McClelland, J., Nill, S., Dearnaley, D., deSouza, N., ...Cardoso, M.J. (2016). Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning.
Cawley, N., Solanky, B.S., Prados, F., Collorone, S., Kanber, B., Ourselin, S., ...Toosy, A. (2016). Increased total sodium concentration in asymptomatic T2 lesions in clinically isolated syndrome.
Charalambous, T., Tur, C., Clayden, J.D., Prados, F., van Pavert, S.H.P., Chard, D., ...Thompson, A.J. (2016). Changes in diffusion-based structural brain network in relapsing-remitting multiple sclerosis.
Collorone, S., Cawley, N., Prados, F., Tur, C., Grussu, F., Kanber, B., ...Thompson, A. (2016). Neurite orientation dispersion and density imaging (NODDI) reflects early microstructural brain tissue changes in clinically isolated syndrome (CIS).
Cortese, R., Magnollay, L., De Angelis, F., Eshaghi, A., Grussu, F., Prados Carrasco, F., ...Miller, D.H. (2016). No differences in spinal cord white and grey matter diffusion abnormalities between neuromyelitis optica spectrum disorder and multiple sclerosis..
Cortese, R., Magnollay, L., De Angelis, F., Prados Carrasco, F., Grussu, F., Tur Gomez, C., ...Miller, D.H. (2016). No differences in spinal cord DTI abnormalilties between neuromyelitis optica spectrum disorder and multiple sclerosis..
Cortese, R., Magnollay, L., De Angelis, F., Tur Gomez, C., Prados Carrasco, F., Ourselin, S., ...Yousry, T. (2016). The central vein sign on SWI at 3T MRI differentiates multiple sclerosis from neuromyelitis optica..
Cury, C., Lorenzi, M., Cash, D., Nicholas, J.M., Routier, A., Rohrer, J., ...Modat, M. (2016). Spatio-temporal shape analysis of cross-sectional data for detection of early changes in neurodegenerative disease.
Daga, P., Chadebecq, F., Shakir, D.C.S., Garcia Peraza Herrera, L., Tella Amo, M., Dwyer, G., ...Vercauteren, T. (2016). Real-time mosaicing of fetoscopic videos using SIFT.
Doel, T., Shakir, D.I., Pratt, R., Aertsen, M., Moggridge, J., Bellon, E., ...Ourselin, S. (2016). GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. Computer Methods and Programs in Biomedicine, doi:10.1016/j.cmpb.2016.11.004
Duncan, J.S., Winston, G.P., Koepp, M.J., Ourselin, S. (2016). Brain imaging in the assessment for epilepsy surgery. LANCET NEUROLOGY, 15 (4), 420-433. doi:10.1016/S1474-4422(15)00383-X
Du, X., Allan, M., Dore, A., Ourselin, S., Hawkes, D., Kelly, J.D., Stoyanov, D. (2016). Combined 2D and 3D tracking of surgical instruments for minimally invasive and robotic-assisted surgery. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1109-1119. doi:10.1007/s11548-016-1393-4
Dwyer, G.R., Bergeles, C., Chadebecq, F., Pawar, V., Vander Poorten, E., Ourselin, S., ...Stoyanov, D. (2016). Cooperative Control with Distal Manipulation for Fetoscopic Laser Photocoagulation.
Eaton-Rosen, Z., Cardoso, M.J., Melbourne, A., Orasanu, E., Bainbridge, A., Kendall, G.S., ...Ourselin, S. (2016). Fitting parametric models of diffusion MRI in regions of partial volume.
Eaton-Rosen, Z., Melbourne, A., Beckmann, J., Orasanu, E., Stevens, N., Atkinson, D., ...Ourselin, S. (2016). White matter alterations in young adults born extremely preterm: a microstructural point of view.
Eaton-Rosen, Z., Melbourne, A., Jorge Cardoso, M., Marlow, N., Ourselin, S. (2016). Beyond the resolution limit: Diffusion parameter estimation in partial volume.
Ebner, M., Chouhan, M.C., Patel, P.A., Atkinson, D.A., Amin, Z.A., Read, S.R., ...Ourselin, S.O. (2016). Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution.
Ehrhardt, M.J., Markiewicz, P., Liljeroth, M., Barnes, A., Kolehmainen, V., Duncan, J.S., ...Ourselin, S. (2016). PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets. IEEE Transactions on Medical Imaging, 1. doi:10.1109/TMI.2016.2549601
Erlandsson, K., Liljeroth, M., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B.F. (2016). Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study. IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 63 (5), 2464-2470. doi:10.1109/TNS.2015.2507444
Eshaghi, A., Prados, F., Brownlee, W., Tur, C., van de Pavert, S.H.P., Cawley, N., ...Stromillo, M.L. (2016). Imaging signature of multiple sclerosis phenotypes in grey matter..
Fiford, C.M., Manning, E.N., Bartlett, J.W., Cash, D.M., Malone, I.B., Ridgway, G.R., ...Ourselin, S. (2016). White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy.. Hippocampus, doi:10.1002/hipo.22690
Georgiadis, K., Wray, S., Ourselin, S., Warren, J.D., Modat, M. (2016). Simulation of pathogenic protein spread in an artificial neural network.
Ginsberg, Y., Xia, W., West, S.J., Ourselin, S., Nikitichev, D.I., David, A.L., Desjardins, A.E. (2016). Ultrasonic needle tracking for guidance of fetal interventions.
Gordon, E., Bocchetta, M., Cardoso, M.J., Ourselin, S., Warren, J.D., Rohrer, J.D. (2016). Clinical, genetic and pathological stratification in frontotemporal dementia: implications for clinical trial design.
Gruijthuijsen, C., Javaux, A., Borghesan, G., Vercauteren, T., Stoyanov, D., Ourselin, S., ...Vander Poorten, E. (2016). Haptic Guidance in Comanipulated Laser Surgery for Fetal Disorders.
Grussu, F., Schneider, T., Prados, F., Tur, C., Ourselin, S., Zhang, H., ...Wheeler-Kingshott, C. (2016). Axon diameter distribution influences diffusion-derived axonal density estimation in the human spinal cord: in silico and in vivo evidence.
Harding, S.R., Bocchetta, M., Gordon, E., Cash, D.M., Cardoso, M.J., Adamson, G., ...Rohrer, J.D. (2016). TMEM106B polymorphism is associated with lower cortical volumes in a clinically diagnosed FTD cohort.
Holmes, H.E., Colgan, N., Ismail, O., Ma, D., Powell, N.M., O'Callaghan, J.M., ...Ahmed, Z. (2016). Imaging the accumulation and suppression of tau pathology using multiparametric MRI. NEUROBIOLOGY OF AGING, 39 184-194. doi:10.1016/j.neurobiolaging.2015.12.001
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M., Melbourne, A., van Osch, M.J., ...Golay, X. (2016). Measurement of bolus arrival time and velocity in Circle of Willis using dynamic MR angiography.
Jia, D., Shi, W., Rueckert, D., Liu, L., Ourselin, S., Zhuang, X. (2016). A multi-resolution multi-model method for coronary centerline extraction based on minimal path.
Jiao, J., Boss, A., Thielemans, K., Burgos, N., Weston, P., Markiewicz, P., ...Hutton, B. (2016). Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data. IEEE Transactions on Medical Imaging, 99 doi:10.1109/TMI.2016.2594150
Kanber, B., Prados, F., Cawley, N., Eshaghi, A., Collorone, S., Wheeler-Kingshott, C.A.M., ...Ourselin, S. (2016). An integrated imaging informatics software platform to improve the analysis of clinical trials and research data in MS.
Kochan, M., Modat, M., Vercauteren, T., White, M., Mancini, L., Winston, G.P., ...Duncan, J.S. (2016). Bilateral Weighted Adaptive Local Similarity Measure for Registration in Neurosurgery.
Ladefoged, C.N., Law, I., Anazodo, U., Lawrence, K.S., Izquierdo-Garcia, D., Catana, C., ...Hutton, B. (2016). A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.. Neuroimage, doi:10.1016/j.neuroimage.2016.12.010
Lehmann, M., Melbourne, A., Dickson, J.C., Ahmed, R.M., Modat, M., Cardoso, M.J., ...Warren, J.D. (2016). A novel use of arterial spin labelling MRI to demonstrate focal hypoperfusion in individuals with posterior cortical atrophy: A multimodal imaging study. Journal of Neurology, Neurosurgery and Psychiatry, 87 (9), 1032-1034. doi:10.1136/jnnp-2015-312782
Lorenzi, M., Gutman, B., Hibar, D.P., Altmann, A., Jahanshad, N., Thompson, P.M., Ourselin, S. (2016). Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization.
Lorenzi, M., Simpson, I.J., Mendelson, A.F., Vos, S.B., Cardoso, M.J., Modat, M., ...Ourselin, S. (2016). Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations. SCIENTIFIC REPORTS, 6 doi:10.1038/srep22161
Manber, R., Thielemans, K., Hutton, B.F., Wan, S., McClelland, J., Barnes, A., ...Atkinson, D. (2016). Joint PET-MR respiratory motion models for clinical PET motion correction.. Physics in medicine and biology, 61 (17), 6515-6530. doi:10.1088/0031-9155/61/17/6515
Markiewicz, P.J., Ehrhardt, M.J., Atkinson, D., Arridge, S.R., Hutton, B.F., Ourselin, S. (2016). Uniform acquisition modelling across PET imaging systems: unified scatter modelling.
Markiewicz, P.J., Thielemans, K., Schott, J.M., Atkinson, D., Arridge, S., Hutton, B., Ourselin, S. (2016). Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis. Physics in Medicine and Biology, 61 (13), doi:10.1088/0031-9155/61/13/N322
Meeter, L., Dopper, E., Jiskoot, L., Sanchez-Valle, R., Graff, C., Benussi, L., ...Galimberti, D. (2016). Neurofilament light chain: a biomarker for disease onset and survival in genetic frontotemporal dementia.
Meeter, L.H., Dopper, E.G., Jiskoot, L.C., Sanchez-Valle, R., Graff, C., Benussi, L., ...Galimberti, D. (2016). Neurofilament light chain: a biomarker for genetic frontotemporal dementia.. Annals of Clinical and Translational Neurology, 3 (8), 623-636. doi:10.1002/acn3.325
Melbourne, A., Eaton-Rosen, Z., Orasanu, E., Beckmann, J., Saborowska, A., Atkinson, D., ...Ourselin, S. (2016). Perfusion and diffusion in the extremely preterm young adult thalamus.
Melbourne, A., Eaton-Rosen, Z., Orasanu, E., Price, D., Bainbridge, A., Cardoso, M.J., ...Ourselin, S. (2016). Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry. Human Brain Mapping, 37 (7), 2479-2492. doi:10.1002/hbm.23188
Melbourne, A., Orasanu, E., Eaton-Rosen, Z., Beckmann, J., Saborowska, A., Atkinson, D., ...Ourselin, S. (2016). Characterizing microstructure and shape of the extremely preterm 19 year-old corpus callosum.
Melbourne, A., Orasanu, E., Eaton-Rosen, Z., Cardoso, M.J., Beckmann, J., Smith, L., ...Ourselin, S. (2016). Analysis of brain volume in a 19 year-old extremely-preterm born cohort.
Melbourne, A., Pratt, R., Owen, D., Sokloska, M., Bainbridge, A., Atkinson, D., ...David, A. (2016). Placental Image Analysis using Coupled Diffusion-Weighted and Multi-Echo T2 MRI and a Multi-Compartment Model.
Melbourne, A., Toussaint, N., Owen, D., Simpson, I., Anthopoulos, T., De Vita, E., ...Ourselin, S. (2016). NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data.. Neuroinformatics, 1-19. doi:10.1007/s12021-016-9297-6
Mutsaerts, H., Mirza, S.S., Rohrer, J., Thomas, D., Cash, D., De Vita, E., ...Galimberti, D. (2016). Presymptomatic cerebral perfusion biomarker changes in genetic frontotemporal dementia: results from the GENetic Frontotemporal dementia Initiative (GENFI).
Niedworok, C.J., Brown, A.P.Y., Jorge Cardoso, M., Osten, P., Ourselin, S., Modat, M., Margrie, T.W. (2016). AMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Nature Communications, 7 doi:10.1038/ncomms11879
Nikitichev, D., Xia, W., Daher, B., Hill, E., Wong, R.Y.J., David, A.L., ...Vercauteren, T. (2016). Placenta Vasculature 3D Printed Imaging and Teaching Phantoms.
Nikitichev, D., Xia, W., Hill, E., Mosse, C.A., Perkins, T., Konyn, K., ...Vercauteren, T. (2016). Music-of-Light Stethoscope: A Demonstration of the Photoacoustic Effect. Physics Education, 51 (4), 045015. doi:10.1088/0031-9120/51/4/045015
Noimark, S.M., Colchester, R.J., Blackburn, B.J., Zhang, E.Z., Alles, E.J., Ourselin, S., ...Desjardins, A.E. (2016). Carbon-nanotube-PDMS composite coatings on optical fibres for all-optical ultrasound imaging. Advanced Functional Materials,
Nowell, M., Rodionov, R., Zombori, G., Sparks, R., Rizzi, M., Ourselin, S., ...Duncan, J. (2016). A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, (111), doi:10.3791/53450
Nowell, M., Sparks, R., Zombori, G., Miserocchi, A., Rodionov, R., Diehl, B., ...McEvoy, A. (2016). Resection planning in extratemporal epilepsy surgery using 3D multimodality imaging and intraoperative MRI.. Br J Neurosurg, 1-3. doi:10.1080/02688697.2016.1265086
Nowell, M., Vos, S.B., Sidhu, M., Wilcoxen, K., Sargsyan, N., Ourselin, S., Duncan, J.S. (2016). Meyer's loop asymmetry and language lateralisation in epilepsy. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 87 (8), 836-842. doi:10.1136/jnnp-2015-311161
Orasanu, E., Bazin, P.L., Melbourne, A., Lorenzi, M., Lombaert, H., Robertson, N.J., ...Ourselin, S. (2016). Longitudinal analysis of the preterm cortex using multi-modal spectral matching.
Orasanu, E., Melbourne, A., Cardoso, M.J., Lombaert, H., Kendall, G.S., Robertson, N.J., ...Ourselin, S. (2016). Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching (vol 6, pg 1, 2016). BRAIN AND BEHAVIOR, 6 (9), doi:10.1002/brb3.585
Orasanu, E., Melbourne, A., Eaton-Rosen, Z., Atkinson, D., Lawan, J., Beckmann, J., ...Ourselin, S. (2016). Local shape analysis of the thalamus in extremely preterm born young adults.
Orasanu, E., Melbourne, A., Eaton-Rosen, Z., Atkinson, D., Saborowska, A., Beckmann, J., ...Ourselin, S. (2016). Cortical folding patterns in extremely preterm born young adults.
Orasanu, E.T., Melbourne, A., C.a.r.d.o.s.o. (2016). Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching. Brain and Behavior, doi:10.1002/brb3.488
Orasanu, E.T., Melbourne, A., Modat, M., Lorenzi, M., Lombaert, H., Eaton-Rosen, Z., ...Ourselin, S. (2016). Mapping longitudinal white matter changes in extremely preterm born infants.
Ourselin, S., Emberton, M., Vercauteren, T. (2016). From computer-assisted intervention research to clinical impact: The need for a holistic approach. Medical Image Analysis, In press doi:10.1016/j.media.2016.06.018
Ourselin, S., Wells, W., Joskowicz, L., Sabuncu, M.R., Unal, G. (2016). Preface. .
Ourselin, S., Wells, W., Joskowicz, L., Sabuncu, M.R., Unal, G. (2016). Preface. .
Ourselin, S., Wells, W., Joskowicz, L., Sabuncu, M., Unal, G. (2016). Preface. .
Owen, D., Melbourne, A., Thomas, D., de Vita, E., Rohrer, J., Ourselin, S. (2016). Optimisation of arterial spin labelling using Bayesian experimental design.
Pardini, M., Sudre, C.H., Prados, F., Yaldizli, Ö., Sethi, V., Muhlert, N., ...Ourselin, S. (2016). Relationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis.. Journal of neurology, neurosurgery, and psychiatry, doi:10.1136/jnnp-2016-313979
Pardini, M., Sudre, C.H., Prados, F., Yaldizli, O., Sethi, V., Muhlert, N., ...Ourselin, S. (2016). The relationship of grey and white matter abnormalities with distance from the surface of the brain in multiple sclerosis.
Powell, N.M., Modat, M., Cardoso, M.J., Ma, D., Holmes, H.E., Yu, Y., ...Wiseman, F.K. (2016). Fully-Automated mu MRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome. PLOS ONE, 11 (9), doi:10.1371/journal.pone.0162974
Prados Carrasco, F., Cardoso, M.J., Burgos, N., Wheeler-Kingshott, C.A.M., Ourselin, S. (2016). NiftyWeb: web based platform for image processing on the cloud.
Prados Carrasco, F., Cardoso, M.J., Kanber, B., Ciccarelli, O., Kapoor, R., Wheeler-Kingshott, C.A.M., Ourselin, S. (2016). A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis.. NeuroImage,
Prados Carrasco, F., Cardoso, M.J., Yiannakas, M.C., Hoy, L.R., Tebaldi, E., Kearney, H., ...Ourselin, S. (2016). Fully automated grey and white matter segmentation of the cervical cord in vivo.
Prados Carrasco, F., C.a.r.d.o.s.o., Y.i.a.n.n.a.k.a.s., H.o.y., Tebaldi, E., K.e.a.r.n.e.y., ......W.h.e.e.l.e.r.-.K.i.n.g.s.h.o.t.t. (2016). Fully automated grey and white matter spinal cord segmentation. Scientific Reports,
Prados Carrasco, F., Solanky, B.S., Alves Da Mota, P., Cardoso, M.J., Brownlee, W.J., Riemer, F., ...Ourselin, S. (2016). Automatic sodium maps reconstruction using PatchMatch algorithm for phantom detection.
Prados Carrasco, F., Solanky, B.S., Alves da Mota, P., Cardoso, M.J., Brownlee, W.J., Riemer, F., ...Wheeler-Kingshott, C.A.M. (2016). Regional variation of total sodium concentration in the healthy human brain.
Prados Carrasco, F., Y.i.a.n.n.a.k.a.s., C.a.r.d.o.s.o., G.r.u.s.s.u., De, a.n.g.e.l.i.s., P.l.a.n.t.o.n.e., ......O.u.r.s.e.l.i.n. (2016). Computing spinal cord atrophy using the Boundary Shift Integral: a more powerful outcome measure for clinical trials?.
Prados Carrasco, F., Yiannakas, M.C., Cardoso, M.J., Grussu, F., De Angelis, F., Plantone, D., ...Ourselin, S. (2016). Atrophy computation in the spinal cord using the Boundary Shift Integral.
Prados, F., Cardoso, M.J., Cawley, N., Kanber, B., Ciccarelli, O., Wheeler-Kingshott, C.A.M.G., Ourselin, S. (2016). Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting.
Rohrer, J., Bocchetta, M., Gordon, E., Cash, D., Dick, K., Thomas, D., ...van Swieten, J. (2016). Patterns of longitudinal neuroanatomical change in genetic FTD: results from the Genetic FTD Initiative (GENFI).
Rohrer, J.D., Woollacott, I.O.C., Dick, K.M., Brotherhood, E., Gordon, E., Fellows, A., ...Ourselin, S. (2016). Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia. NEUROLOGY, 87 (13), 1329-1336. doi:10.1212/WNL.0000000000003154
Samson, R.S., Brownlee, W.J., Cardoso, M.J., Brown, W.J.L., Pardini, M., Prados Carrasco, F., ...Miller, D.H. (2016). Outer and inner cortical MTR abnormalities in clinically isolated syndromes.
Samson, R.S., Cardoso, M.J., Brownlee, W.J., Brown, W.J.L., Pardini, M., Ourselin, S., ...Chard, D.T. (2016). Outer and inner cortical MTR abnormalities observed in clinically isolated syndromes.
Sari, H., Erlandsson, K., Law, I., Larsson, H., Ourselin, S., Arridge, S., ...Hutton, B. (2016). Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. Journal of Cerebral Blood Flow & Metabolism,
Scott, C.J., Jiao, J., Melbourne, A., Schott, J.M., Hutton, B.F., Ourselin, S. (2016). ASL-incorporated pharmacokinetic modelling of PET data with reduced acquisition time: Application to amyloid imaging.
Sparks, R., Zombori, G., Rodionov, R., Nowell, M., Vos, S.B., Zuluaga, M.A., ...McEvoy, A.W. (2016). Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment. International Journal of Computer Assisted Radiology and Surgery, 1-14. doi:10.1007/s11548-016-1452-x
Sparks, R., Zombori, G., Rodionov, R., Zuluaga, M.A., Diehl, B., Wehner, T., ...Ourselin, S. (2016). Efficient anatomy driven automated multiple trajectory planning for intracranial electrode implantation.
Steventon, J.J., Trueman, R.C., Ma, D., Yhnell, E., Bayram-Weston, Z., Modat, M., ...Stewart, A. (2016). Longitudinal in vivo MRI in a Huntington's disease mouse model: Global atrophy in the absence of white matter microstructural damage. Scientific Reports, 6 doi:10.1038/srep32423
Tella Amo, M., Daga, P., Chadebecq, F., Thompson, S., Shakir, D., Dwyer, G., ...Vercauteren, T. (2016). A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy..
Thomas, D.L., Nery, F., Gordon, I., Clark, C.A., Ourselin, S., Golay, X., ...De Vita, E. (2016). Reduction of motion artefacts in multi-shot 3D GRASE Arterial Spin Labelling using autofocus.
Thompson, S., Stoyanov, D., Schneider, C., Gurusamy, K., Ourselin, S., Davidson, B., ...Clarkson, M.J. (2016). Hand-eye calibration for rigid laparoscopes using an invariant point. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1071-1080. doi:10.1007/s11548-016-1364-9
Tona, F., Cawley, N., Grussu, F., Prados, F., Ourselin, S., Kipp, L., ...Ciccarelli, O. (2016). Neurite orientation dispersion and density imaging (NODDI) of the spinal cord in relapsing remitting multiple sclerosis.
Tur, C., Eshaghi, A., Jenkins, T.M., Altmann, D.R., Prados Carrasco, F., Charalambous, T., ...Miller, D.H. (2016). Structural cortical networks in optic neuritis (early CIS).
Tur, C., Eshaghi, A., Khaleeli, Z., Altmann, D.R., Prados Carrasco, F., Charalambous, T., ...Miller, D.H. (2016). Longitudinal changes in structural cortical networks in early PPMS.
van de Pavert, S.H., Pardini, M., Eshaghi, A., Prados, F., Yaldizli, O., Sethi, V., ...Ciccarelli, O. (2016). Spatial and temporal characteristics of magnetisation transfer ratio changes in different corticothalamic systems in multiple sclerosis.
Vasconcelos, F., Peebles, D., Ourselin, S., Stoyanov, D. (2016). Spatial calibration of a 2D/3D ultrasound using a tracked needle. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1091-1099. doi:10.1007/s11548-016-1392-5
Vasconcelos, F., Peebles, D., Ourselin, S., Stoyanov, D. (2016). Similarity registration problems for 2D/3D ultrasound calibration.
Vos, S.B., Tax, C.M.W., Luijten, P.R., Ourselin, S., Leemans, A., Froeling, M. (2016). The importance of correcting for signal drift in diffusion MRI. Magnetic Resonance in Medicine, doi:10.1002/mrm.26124
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., ...Ourselin, S. (2016). Slic-Seg: A Minimally Interactive Segmentation of the Placenta from Sparse and Motion-Corrupted Fetal MRI in Multiple Views. Medical Image Analysis, doi:10.1016/j.media.2016.04.009
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., ...Ourselin, S. (2016). Dynamically Balanced Online Random Forests for Interactive Scribble-based Segmentation.
Weston, P.S., Nicholas, J.M., Lehmann, M., Ryan, N.S., Liang, Y., Macpherson, K., ...Ourselin, S. (2016). Presymptomatic cortical thinning in familial Alzheimer disease: A longitudinal MRI study.. Neurology, doi:10.1212/WNL.0000000000003322
Woollacott, I., Rohrer, J., Dick, K., Brotherhood, E., Gordon, E., Fellows, A., ...Ourselin, S. (2016). Serum neurofilament light chain protein is a measure of disease intensity in frontotemporal dementia.
Xia, W., Ginsberg, Y., West, S.J., Nikitichev, D.I., Ourselin, S., David, A.L., Desjardins, A.E. (2016). Coded excitation ultrasonic needle tracking: An in vivo study. Medical Physics, 43 4065-4073. doi:10.1118/1.4953205
Xia, W., West, S.J., Nikitichev, D.I., Ourselin, S., Beard, P.C., Desjardins, A.E. (2016). Interventional multispectral photoacoustic imaging with a clinical linear array ultrasound probe for guiding nerve blocks.
Xia, W., West, S., Mari, J.M., David, A., Ourselin, S., Desjardins, A.E. (2016). 3D Ultrasonic Needle Tracking with a 1.5D Transducer Array for Guidance of Fetal Interventions.
Xu, Z., Lee, C.P., Heinrich, M.P., Modat, M., Rueckert, D., Ourselin, S., ...Landman, B.A. (2016). Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 63 (8), 1563-1572. doi:10.1109/TBME.2016.2574816
Yiannakas, M., Grussu, F., Polymnia, L., Prados Carrasco, F., Samson, R., Battiston, M., ...Wheeler-Kingshott, C. (2016). Reduced field-of-view diffusion-weighted imaging of the lumbosacral enlargement: a pilot in vivo study of the healthy spinal cord at 3T. PLoS One, doi:10.1371/journal.pone.0164890
Young, J., Modat, M., Cardoso, M.J., Ashburner, J., Ourselin, S. (2016). An Oblique Approach to Prediction of Conversion to Alzheimer's Disease with Multikernel Gaussian Processes.
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.
Zuluaga Valencia, M.A., Biffi, B., Taylor, A.M., Schievano, S., Vercauteren, T., Ourselin, S. (2016). Strengths and Pitfalls of Whole-heart Atlas-based Segmentation in Congenital Heart Disease Patients.

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.
Angelini, E., Kovačević, J., Ourselin, S., Rittscher, J. (2015). Welcome letter.
Bocchetta, M., Gordon, E., Manning, E., Barnes, J., Cash, D.M., Espak, M., ...Warren, J.D. (2015). Detailed volumetric analysis of the hypothalamus in behavioral variant frontotemporal dementia. JOURNAL OF NEUROLOGY, 262 (12), 2635-2642. doi:10.1007/s00415-015-7885-2
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.
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.
Cardoso, M.J., Modat, M., Vercauteren, T., Ourselin, S. (2015). Scale factor point spread function matching: beyond aliasing in image resampling.
Cardoso, M.J., Modat, M., Wolz, R., Melbourne, A., Cash, D., Rueckert, D., Ourselin, S. (2015). Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE TRANSACTIONS ON MEDICAL IMAGING, 34 (9), 1976-1988. doi:10.1109/TMI.2015.2418298
Cardoso, M.J., Sudre, C.H., Modat, M., Ourselin, S. (2015). Template-based multimodal joint generative model of brain data.
Cash, D.M., Frost, C., Iheme, L.O., Unay, D., Kandemir, M., Fripp, J., ...Fischl, B. (2015). Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NEUROIMAGE, 123 149-164. doi:10.1016/j.neuroimage.2015.07.087
Chadebecq, F., Vercauteren, T., Wimalasundera, R., Attilakos, G., David, A.L., Deprest, J., ...Stoyanov, D. (2015). Practical Dry Calibration With Medium Adaptation ForFluid-Immersed Endoscopy.
Cortese, R., Magnollay, L., De Angelis, F., Tur, C., Prados, F., Ourselin, S., ...Ciccarelli, O. (2015). Perivenular white matter lesions on SWI at 3-T MRI as a diagnostic sign to differentiate multiple sclerosis from neuromyelitis optica.
Devreker, A., Rosa, B., Desjardins, A., Alles, E.J., Garcia Peraza Herrera, L.C., Maneas, E., ...Deprest, J. (2015). Fluidic actuation for intra-operative in situ imaging.
Dingwall, N., Chalk, A., Martin, T.I., Scott, C.J., Semedo, C., Le, Q., ...Marlow, N. (2015). T2 relaxometry in the extremely-preterm brain at adolescence. MAGNETIC RESONANCE IMAGING, 34 (4), 508-514. doi:10.1016/j.mri.2015.12.020
Downey, L.E., Mahoney, C.J., Buckley, A.H., Golden, H.L., Henley, S.M., Schmitz, N., ...Fox, N.C. (2015). White matter tract signatures of impaired social cognition in frontotemporal lobar degeneration. NEUROIMAGE-CLINICAL, 8 640-651. doi:10.1016/j.nicl.2015.06.005
Duc, A.K.H., Eminowicz, G., Mendes, R., Wong, S.-.L., McClelland, J., Modat, M., ...Kadir, T. (2015). Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer. MEDICAL PHYSICS, 42 (9), 5027-5034. doi:10.1118/1.4927567
Eaton-Rosen, Z., Melbourne, A., Orasanu, E., Cardoso, M.J., Modat, M., Bainbridge, A., ...Ourselin, S. (2015). Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NEUROIMAGE, 111 580-589. doi:10.1016/j.neuroimage.2015.02.010
Eaton-Rosen, Z., Melbourne, A., Orasanu, E., Cardoso, M.J., Modat, M., Bainbridge, A., ...Ourselin, S. (2015). Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. NeuroImage, 111 580-589. doi:10.1016/j.neuroimage.2015.02.010
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
Gutman, B.A., Fletcher, P.T., Cardoso, M.J., Fleishman, G.M., Lorenzi, M., Thompson, P.M., Ourselin, S. (2015). A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. Information processing in medical imaging : proceedings of the ... conference, 24 205-218.
Gutman, B.A., Thomas Fletcher, P., Jorge Cardoso, M., Fleishman, G.M., Lorenzi, M., Thompson, P.M., Ourselin, S. (2015). A Riemannian framework for intrinsic comparison of closed Genus-Zero shapes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9123 205-218. doi:10.1007/978-3-319-19992-4_16
Huen, I., Beckmann, J., Suzuki, Y., Zuluaga, M., Melbourne, A., van Osch, M.J.P., ...Golay, X. (2015). DOES EXTREME PREMATURITY AFFECT ADULT BRAIN VESSEL COMPLIANCE? A PRELIMINARY MRI STUDY..
Jack, C.R., Barnes, J., Bernstein, M.A., Borowski, B.J., Brewer, J., Clegg, S., ...DeCarli, C. (2015). Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2. ALZHEIMERS & DEMENTIA, 11 (7), 740-756. doi:10.1016/j.jalz.2015.05.002
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
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
Kipp, L., Cawley, N., Prados, F., Schneider, T., Ourselin, S., Wheeler-Kingshott, C.A., ...Ciccarelli, O. (2015). Neurite orientation dispersion and density imaging (NODDI) in RRMS.
Klemt, C., Modat, M., Pichat, J., Cardoso, M.J., Henckel, J., Hart, A., Ourselin, S. (2015). Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty.
Kochan, M., Daga, P., Burgos, N., White, M., Cardoso, M.J., Mancini, L., ...Yousry, T. (2015). Simulated field maps for susceptibility artefact correction in interventional MRI. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 10 (9), 1405-1416. doi:10.1007/s11548-015-1253-7
Leung, K.K., Malone, I.M., Ourselin, S., Gunter, J.L., Bernstein, M.A., Thompson, P.M., ...Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2015). Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement.. NEUROIMAGE, 107 46-53. doi:10.1016/j.neuroimage.2014.11.049
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.
Ma, D., Cardoso, M.J., Zuluaga, M.A., Modat, M., Powell, N., Wiseman, F., ...Ourselin, S. (2015). Grey matter sublayer thickness estimation in the mouse cerebellum.
Magerkurth, J., Mancini, L., Penny, W., Flandin, G., Ashburner, J., Micallef, C., ...Buckley, C. (2015). Objective Bayesian fMRI analysis - a pilot study in different clinical environments. Frontiers in Neuroscience, 9 (APR), doi:10.3389/fnins.2015.00168
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.
Maneas, E., Sato dos Santos, G., Deprest, J., Wimalasundera, R., David, A.L., Vercauteren, T., Ourselin, S. (2015). Adaptive Filtering of Fibre-optic Fetoscopic Images for Fetal Surgery.
Manning, E.N., Macdonald, K.E., Leung, K.K., Young, J., Pepple, T., Lehmann, M., ...Ourselin, S. (2015). Differential hippocampal shapes in posterior cortical atrophy patients: A comparison with control and typical AD subjects. Human Brain Mapping, n/a. doi:10.1002/hbm.22999
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.
Mendelson, A.F., Zuluaga, M.A., Hutton, B.F., Ourselin, S. (2015). Bolstering Heuristics for Statistical Validation of Prediction Algorithms.
Mota, A., Cuplov, V., Drobnjak, I., Dickson, J., Bert, J., Burgos, N., ...Schott, J. (2015). Erratum to: Establishment of an open database of realistic simulated data for evaluation of partial volume correction techniques in brain PET/MR(EJNMMI Physics).
Nowell, M., Rodionov, R., Zombori, G., Sparks, R., Winston, G., Kinghorn, J., ...McEvoy, A.W. (2015). Utility of 3D multimodality imaging in the implantation of intracranial electrodes in epilepsy. EPILEPSIA, 56 (3), 403-413. doi:10.1111/epi.12924
Nowell, M., Sparks, R., Zombori, G., Miserocchi, A., Rodionov, R., Diehl, B., ...Tisdall, M. (2015). COMPARISON OF COMPUTER-ASSISTED PLANNING AND MANUAL PLANNING FOR DEPTH ELECTRODE IMPLANTATIONS IN EPILEPSY. Journal of Neurosurgery, doi:10.3171/2015.6.JNS15487
Orasanu, E., Melbourne, A., Lombaert, H., Cardoso, M.J., Johnsen, S.F., Kendall, G.S., ...Ourselin, S. (2015). Prefrontal Cortical Folding of the Preterm Brain: A Longitudinal Analysis of Preterm-Born Neonates. SPATIO-TEMPORAL IMAGE ANALYSIS FOR LONGITUDINAL AND TIME-SERIES IMAGE DATA, 8682 3-12. doi:10.1007/978-3-319-14905-9_1
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.
Petitjean, C., Zuluaga, M.A., Bai, W., Dacher, J.-.N., Grosgeorge, D., Caudron, J., ...Chen, H.-.C. (2015). Right ventricle segmentation from cardiac MRI: a collation study.. MEDICAL IMAGE ANALYSIS, 19 (1), 187-202. doi:10.1016/j.media.2014.10.004
Pichat, J., Modat, M., Yousry, T., Ourselin, S. (2015). A Multi-Path Approach to Histology Volume Reconstruction.
Prados, F., Cardoso, M.J., Leung, K.K., Cash, D.M., Modat, M., Fox, N.C., ...Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2015). Measuring brain atrophy with a generalized formulation of the boundary shift integral.. NEUROBIOLOGY OF AGING, 36 S81-S90. doi:10.1016/j.neurobiolaging.2014.04.035
Pratt, R., Deprest, J., Vercauteren, T., Ourselin, S., David, A.L.M. (2015). Systematic review of 3D fetal image reconstruction for fetal surgical planning and intraoperative guidance.
Pratt, R.J., Deprest, J., Vercauteren, T., Ourselin, S., David, A.L. (2015). Computer-assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review. Prenatal Diagnosis, In press
Rodionov, R., Bartlett, P.A., He, C., Vos, S.B., Focke, N.K., Ourselin, S.G., Duncan, J.S. (2015). T2 mapping outperforms normalised FLAIR in identifying hippocampal sclerosis. (K. Not Trans.). NeuroImage: Clinical, doi:10.1016/j.nicl.2015.03.004
Rohrer, J.D., Nicholas, J.M., Cash, D.M., van Swieten, J., Dopper, E., Jiskoot, L., ...Clegg, S. (2015). Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the Genetic Frontotemporal dementia Initiative (GENFI) study: a cross-sectional analysis. LANCET NEUROLOGY, 14 (3), 253-262. doi:10.1016/S1474-4422(14)70324-2
Roura, E., Schneider, T., Modat, M., Daga, P., Muhlert, N., Chard, D., ...Wheeler-Kingshott, C.G. (2015). Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: Application to multiple sclerosis. Functional Neurology, 30 (4), 245-256.
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,
Sato Dos Santos, G., Maneas, E., Nikitichev, D., Barburas, A., David, A.L., Deprest, J., ...Ourselin, S. (2015). A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels.
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.
Simpson, I.J.A., Cardoso, M.J., Modat, M., Cash, D.M., Woolrich, M.W., Andersson, J.L.R., ...Ourselin, S. (2015). Probabilistic non-linear registration with spatially adaptive regularisation. MEDICAL IMAGE ANALYSIS, 26 (1), 203-216. doi:10.1016/j.media.2015.08.006
Sindhwani, N., Feola, A., De Keyzer, F., Claus, F., Callewaert, G., Urbankova, I., ...Deprest, J. (2015). Three-dimensional analysis of implanted magnetic-resonance-visible meshes. INTERNATIONAL UROGYNECOLOGY JOURNAL, 26 (10), 1459-1465. doi:10.1007/s00192-015-2681-1
Sindhwani, N., Feola, A., De Keyzer, F., Claus, F., Callewaert, G., Urbankova, I., ...Deprest, J. (2015). Three-dimensional analysis of implanted magnetic-resonance-visible meshes. International Urogynecology Journal, 26 (10), 1459-1465. doi:10.1007/s00192-015-2681-1
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
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.
Tobon-Gomez, C., Geers, A.J., Peters, J., Weese, J., Pinto, K., Karim, R., ...Sandoval, Z. (2015). Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE TRANSACTIONS ON MEDICAL IMAGING, 34 (7), 1460-1473. doi:10.1109/TMI.2015.2398818
Tobon-Gomez, C., Zuluaga, M.A., Chubb, H., Williams, S.E., Butakoff, C., Karim, R., ...Rhode, K. (2015). Standardised unfold map of the left atrium: Regional definition for multimodal image analysis.
Veiga, C., Alshaikhi, J., Amos, R., Lourenço, A.M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Cone-Beam Computed Tomography and Deformable Registration-Based “Dose of the Day” Calculations for Adaptive Proton Therapy. International Journal of Particle Therapy, 2 (2), 404-414. doi:10.14338/IJPT-14-00024.1
Veiga, C., Lourenco, A.M., Mouinuddin, S., van Herk, M., Modat, M., Ourselin, S., ...McClelland, J.R. (2015). Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm. MEDICAL PHYSICS, 42 (2), 760-769. doi:10.1118/1.4905050
Wang, G., Zuluaga, M., Pratt, R., Aertsen, M., David, A., Deprest, J., ...Ourselin, S. (2015). Minimally Interactive Placenta Segmentation from Motion Corrupted MRI for Fetal Surgical Planning.
Wang, L., Yushkevich, P., Ourselin, S. (2015). Guest editorial. Neurobiology of Aging, 36 (S1), S1-S2. doi:10.1016/j.neurobiolaging.2014.09.021
Wang, L., Yushkevich, P., Ourselin, S. (2015). Guest editorial. Neurobiology of aging. Neurobiology of aging, 36 S1-S2. doi:10.1016/j.neurobiolaging.2014.09.021
Wells, J.A., O'Callaghan, J.M., Holmes, H.E., Powell, N.M., Johnson, R.A., Siow, B., ...Golay, X. (2015). In vivo imaging of tau pathology using multi-parametric quantitative MRI. NEUROIMAGE, 111 369-378. doi:10.1016/j.neuroimage.2015.02.023
Weston, P.S.J., Paterson, R.W., Lehmann, M., Modat, M., Bomanji, J.B., Kayani, I., ...Ourselin, S. (2015). USING FLORBETAPIR PET TO INCREASE DIAGNOSTIC CERTAINTY IN ATYPICAL DEMENTIAS.
Weston, P.S.J., Paterson, R.W., Modat, M., Burgos, N., Cardoso, M.J., Magdalinou, N., ...Bomanji, J.B. (2015). Using florbetapir positron emission tomography to explore cerebrospinal fluid cut points and gray zones in small sample sizes. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 1 (4), 440-446. doi:10.1016/j.dadm.2015.10.001
Weston, P.S.J., Simpson, I.J.A., Ryan, N.S., Ourselin, S., Fox, N.C. (2015). Diffusion imaging changes in grey matter in Alzheimer's disease: a potential marker of early neurodegeneration. ALZHEIMERS RESEARCH & THERAPY, 7 doi:10.1186/s13195-015-0132-3
Xia, W., Maneas, E., Nikitichev, D., Mosse, C., Sato dos Santos, G., Vercauteren, T., ...Beard, P. (2015). Interventional photoacoustic imaging of the human placenta with ultrasonic tracking for minimally invasive fetal surgeries.
Xia, W., Mari, J.M., West, S.J., Ginsberg, Y., David, A.L., Ourselin, S., Desjardins, A.E. (2015). In-plane ultrasonic needle tracking using a fiber-optic hydrophone. Medical Physics, 42 5983-5991. doi:10.1118/1.4931418
Xia, W., Mosse, C., Colchester, R., Mari, J., Nikitichev, D., West, S., ...Desjardins, A. (2015). Fiber optic photoacoustic probe with ultrasonic tracking for guiding minimally invasive procedures. Proc. SPIE 9539, Opto-Acoustic Methods and Applications in Biophotonics II, 9539 doi:10.1117/12.2182647
Xia, W., Nikitichev, D.I., Mari, J.M., West, S.J., Pratt, R., David, A.L., ...Desjardins, A.E. (2015). Performance characteristics of an interventional multispectral photoacoustic imaging system for guiding minimally invasive procedures. Journal of Biomedical Optics, 20 086005. doi:10.1117/1.JBO.20.8.086005
Xia, W., Nikitichev, D., Mari, J., West, S., Ourselin, S., Beard, P., Desjardins, A. (2015). An interventional multispectral photoacoustic imaging platform for the guidance of minimally invasive procedures. In Ntziachristos, V., Zemp, R. (Eds.), SPIE.
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
Young, J., Mendelson, A., Cardoso, M.J., Modat, M., Ashburner, J., Ourselin, S. (2015). Improving MRI Brain Image Classification with Anatomical Regional Kernels.
Ziegler, G., Penny, W.D., Ridgway, G.R., Ourselin, S., Friston, K.J. (2015). Estimating anatomical trajectories with Bayesian mixed-effects modeling. NEUROIMAGE, 121 51-68. doi:10.1016/j.neuroimage.2015.06.094
Zuluaga, M.A., Burgos, N., Mendelson, A.F., Taylor, A.M., Ourselin, S. (2015). Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. MEDICAL IMAGE ANALYSIS, 26 (1), 185-194. doi:10.1016/j.media.2015.09.001
Zuluaga, M.A., Burgos, N., Taylor, A.M., Ourselin, S. (2015). MULTI-ATLAS SYNTHESIS FOR COMPUTER ASSISTED DIAGNOSIS: APPLICATION TO CARDIOVASCULAR DISEASES.
Zuluaga Valencia, M.A., Rodionov, R., Nowell, M., Achhala, S., Zombori, G., Mendelson, A.F., ...Duncan, J.S. (2015). Stability, Structure and Scale: Improvements in Multi-modal Vessel Extraction for SEEG Trajectory Planning. International Journal of Computer Assisted Radiology and Surgery,

2014

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.
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.
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.
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.
Cash, D.M., Rohrer, J.D., Ryan, N.S., Ourselin, S., Fox, N.C. (2014). Imaging endpoints for clinical trials in Alzheimer's disease. Alzheimer's Research and Therapy, 6 (9), doi:10.1186/s13195-014-0087-9
Clarkson, M.J., Zombori, G., Thompson, S., Ourselin, S. (2014). NiftyLink.
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,
Daga, P., Pendse, T., Modat, M., White, M., Mancini, L., Winston, G.P., ...Drobnjak, I. (2014). Susceptibility artefact correction using dynamic graph cuts: application to neurosurgery.. MEDICAL IMAGE ANALYSIS, 18 (7), 1132-1142. doi:10.1016/j.media.2014.06.008
Eaton-Rosen, Z., Melbourne, A., Orasanu, E., Modat, M., Cardoso, M.J., Bainbridge, A., ...Ourselin, S. (2014). Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT II, 8674 276-283.
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.
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
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.
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
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.
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
Kendall, G.S., Melbourne, A., Johnson, S., Price, D., Bainbridge, A., Gunny, R., ...Marlow, N. (2014). White matter NAA/Cho and Cho/Cr ratios at MR spectroscopy are predictive of motor outcome in preterm infants.. RADIOLOGY, 271 (1), 230-238. doi:10.1148/radiol.13122679
Kochan, M., Daga, P., Burgos, N., White, M., Cardoso, M.J., Mancini, L., ...Yousry, T. (2014). Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI.
Liu, L., Shi, W., Rueckert, D., Hu, M., Ourselin, S., Zhuang, X. (2014). CORONARY CENTERLINE EXTRACTION BASED ON OSTIUM DETECTION AND MODEL-GUIDED DIRECTIONAL MINIMAL PATH. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 133-136.
Lotjonen, J., Ledig, C., Koikkalainen, J., Wolz, R., Thurfjell, L., Soininen, H., ...Rueckert, D. (2014). EXTENDED BOUNDARY SHIFT INTEGRAL. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 854-857.
Macdonald, K.E., Leung, K.K., Bartlett, J.W., Blair, M., Malone, I.B., Barnes, J., ...Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2014). Automated template-based hippocampal segmentations from MRI: the effects of 1.5T or 3T field strength on accuracy.. NEUROINFORMATICS, 12 (3), 405-412. doi:10.1007/s12021-013-9217-y
Ma, D., Cardoso, M.J., Modat, M., Powell, N., Wells, J., Holmes, H., ...Lythgoe, M.F. (2014). Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion. PLoS ONE, 9 e86576. doi:10.1371/journal.pone.0086576
Mahoney, C.J., Ridgway, G.R., Malone, I.B., Downey, L.E., Beck, J., Kinnunen, K.M., ...Schott, J.M. (2014). Profiles of white matter tract pathology in frontotemporal dementia.. Human Brain Mapping, 35 (8), 4163-4179. doi:10.1002/hbm.22468
Mahoney, C.J., Simpson, I.J.A., NIcholas, J.M., Fletcher, P.D., Downey, L.E., Golden, H.L., ...Schott, J.M. (2014). Longitudinal diffusion tensor imaging in frontotemporal dementia. Annals of Neurology, doi:10.1002/ana.24296
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.
Manning, E.N., Barnes, J., Cash, D.M., Bartlett, J.W., Leung, K.K., Ourselin, S., ...Alzheimer's Disease NeuroImaging, I.n.i.t.i.a.t.i.v.e. (2014). APOE ε4 is associated with disproportionate progressive hippocampal atrophy in AD.. PLOS ONE, 9 (5), doi:10.1371/journal.pone.0097608
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..
Melbourne, A., Eaton-Rosen, Z., De Vita, E., Bainbridge, A., Cardoso, M.J., Price, D., ...Marlow, N. (2014). Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls.
Melbourne, A., Kendall, G.S., Cardoso, M.J., Gunny, R., Robertson, N.J., Marlow, N., Ourselin, S. (2014). Preterm birth affects the developmental synergy between cortical folding and cortical connectivity observed on multimodal MRI.. NEUROIMAGE, 89 23-34. doi:10.1016/j.neuroimage.2013.11.048
Mendelson, A.F., Zuluaga, M.A., Thurfjell, L., Hutton, B.F., Ourselin, S. (2014). The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT II, 8674 236-243.
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
Modat, M., Cash, D.M., Daga, P., Winston, G.P., Duncan, J.S., Ourselin, S. (2014). Global image registration using a symmetric block-matching approach. Journal of Medical Imaging, 1 (2), doi:10.1117/1.JMI.1.2.024003
Modat, M., Cash, D.M., Daga, P., Winston, G.P., Duncan, J.S., Ourselin, S. (2014). A symmetric block-matching framework for global registration.
Modat, M., Simpson, I.J.A., Cardoso, M.J., Cash, D.M., Toussaint, N., Fox, N.C., Ourselin, S. (2014). Simulating neurodegeneration through longitudinal population analysis of structural and diffusion weighted MRI data.. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT III, 8675 57-64.
Nowell, M., Rodionov, R., Diehl, B., Wehner, T., Zombori, G., Kinghorn, J., ...McEvoy, A. (2014). A novel method for implementation of frameless StereoEEG in epilepsy surgery.. OPERATIVE NEUROSURGERY, 10 (4), 525-533. doi:10.1227/NEU.0000000000000544
Nowell, M., Rodionov, R., Zombori, G., Ourselin, S., Micallef, C., Diehl, B., ...Duncan, J. (2014). THE USE OF 3D MULTIMODALITY IMAGING IN THE PRESURGICAL EVALUATION OF EPILEPSY.
Orasanu, E., Melbourne, A., Cardoso, M.J., Modat, M., Taylor, A.M., Thayyil, S., Ourselin, S. (2014). Brain volume estimation from post-mortem newborn and fetal MRI.. NEUROIMAGE-CLINICAL, 6 438-444. doi:10.1016/j.nicl.2014.10.007
Ourselin, S., Modat, M. (2014). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8545 LNCS
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.
Parker, C.S., Deligianni, F., Cardoso, M.J., Daga, P., Modat, M., Dayan, M., ...Clayden, J.D. (2014). Consensus between pipelines in structural brain networks.. PLOS ONE, 9 (10), doi:10.1371/journal.pone.0111262
Porter, M.-.C., De Vita, E., Simpson, I., Ourselin, S., Lowe, J., Franko, E., ...Collinge, J. (2014). Multi-parameter MRI analysis in the national prion monitoring cohort.
Porter, M.-.C., De Vita, E., Simpson, I., Ourselin, S., Lowe, J., Franko, E., ...Collinge, J. (2014). Multi-parameter MRI analysis in the national prion monitoring cohort.
Prados, F., Cardoso, M.J., Cash, D.M., Modat, M., Wheeler-Kingshott, C.A.M., Ourselin, S. (2014). Robust and fully-automated atrophy measures for multiple sclerosis disease..
Prados, F., Cardoso, M.J., MacManus, D., Wheeler-Kingshott, C.A.M., Ourselin, S. (2014). A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2014, PT II, 8674 781-788.
Prados, F., Cardoso, M.J., MacManus, D., Wheeler-Kingshott, C.A., Ourselin, S. (2014). A modality-agnostic patch-based technique for lesion filling in multiple sclerosis.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 17 (Pt 2), 781-788.
Samson, R.S., Cardoso, M.J., Muhlert, N., Sethi, V., Ron, M.A., Ourselin, S., ...Wheeler-Kingshott, C.A.M. (2014). Reproducibility of in vivo inner and outer cortical magnetisation transfer ratio measurements..
Samson, R.S., Cardoso, M.J., Muhlert, N., Sethi, V., Wheeler-Kingshott, C.A., Ron, M., ...Chard, D.T. (2014). Investigation of outer cortical magnetisation transfer ratio abnormalities in multiple sclerosis clinical subgroups.. Mult Scler, 20 ((10)), 1322-1330. doi:10.1177/1352458514522537
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..
Sohal, M., Duckett, S.G., Zhuang, X., Shi, W., Ginks, M., Shetty, A., ...Smith, N. (2014). A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy.. JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 16 doi:10.1186/s12968-014-0058-0
Sudre, C.H., Cardoso, M.J., Bouvy, W.H., Biessels, G.J., Barnes, J., Ourselin, S. (2014). Bayesian model selection for pathological data..
Thomas, B.A., Erlandsson, K., Bousse, A., Hutton, B.F., Drobnjak, I., Pedemonte, S., ...Reilhac-Laborde, A. (2014). Framework for the construction of a Monte Carlo simulated brain PET-MR image database. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 734 162-165. doi:10.1016/j.nima.2013.08.063
Thomas, J.B., Brier, M.R., Bateman, R.J., Snyder, A.Z., Benzinger, T.L., Xiong, C., ...Mayeux, R. (2014). Functional connectivity in autosomal dominant and late-onset Alzheimer disease.. JAMA NEUROLOGY, 71 (9), 1111-1122. doi:10.1001/jamaneurol.2014.1654
Veiga, C., McClelland, J., Moinuddin, S., Lourenço, A., Ricketts, K., Annkah, J., ...Royle, G. (2014). Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for "dose of the day" calculations.. MEDICAL PHYSICS, 41 (3), doi:10.1118/1.4864240
Winston, G.P., Daga, P., White, M.J., Micallef, C., Miserocchi, A., Mancini, L., ...Symms, M.R. (2014). Preventing visual field deficits from neurosurgery.. NEUROLOGY, 83 (7), 604-611. doi:10.1212/WNL.0000000000000685
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
Zombori, G., Rodionov, R., Nowell, M., Zuluaga, M.A., Clarkson, M.J., Micallef, C., ...McEvoy, A.W. (2014). A computer assisted planning system for the placement of sEEG electrodes in the treatment of epilepsy.
Zombori, G., Rodionov, R., Nowell, M., Zuluaga, M., Clarkson, M., Micallef, C., ...McEvoy, A. (2014). A computer assisted planning system for the placement of sEEG electrodes in the treatment of epilepsy.
Zuluaga, M.A., Mendelson, A., Cardoso, M.J., Taylor, A.M., Ourselin, S. (2014). Multi-atlas based pathological stratification of D-TGA congenital heart disease. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, 109-112.
Zuluaga, M.A., Mendelson, A., Cardoso, M.J., Taylor, A.M., Ourselin, S. (2014). MUTI-ATLAS BASED PATHOLOGICAL STRATIFICATION OF D-TGA CONGENITAL HEART DISEASE.
Zuluaga, M.A., Rodionov, R., Nowell, M., Achhala, S., Zombori, G., Cardoso, M.J., ...Ourselin, S. (2014). SEEG Trajectory Planning: Combining Stability, Structure and Scale in Vessel Extraction.

2013

(2013). Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings.
Allan, M., Ourselin, S., Thompson, S., Hawkes, D.J., Kelly, J., Stoyanov, D. (2013). Toward detection and localization of instruments in minimally invasive surgery.. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 60 (4), 1050-1058. doi:10.1109/TBME.2012.2229278
Andrews, K.A., Modat, M., Macdonald, K.E., Yeatman, T., Cardoso, M.J., Leung, K.K., ...Fox, N.C. (2013). Atrophy Rates in Asymptomatic Amyloidosis: Implications for Alzheimer Prevention Trials. PLoS ONE, 8 (3), e58816-. doi:10.1371/journal.pone.0058816
Benzinger, T.L.S., Blazey, T., Jack, C.R., Koeppe, R.A., Su, Y., Xiong, C., ...Bateman, R.J. (2013). Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease.. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 110 (47), E4502-E4509. doi:10.1073/pnas.1317918110
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.
Cardoso, M.J., Melbourne, A., Kendall, G.S., Modat, M., Robertson, N.J., Marlow, N., Ourselin, S. (2013). AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI.. NEUROIMAGE, 65 97-108. doi:10.1016/j.neuroimage.2012.08.009
Cash, D.M., Ridgway, G.R., Liang, Y., Ryan, N.S., Kinnunen, K.M., Yeatman, T., ...Thompson, P.M. (2013). The pattern of atrophy in familial Alzheimer disease: volumetric MRI results from the DIAN study.. Neurology, 81 (16), 1425-1433. doi:10.1212/WNL.0b013e3182a841c6
Daga, P., Modat, M., Winston, G., White, M., Mancini, L., Mcevoy, A.W., ...Ourselin, S. (2013). Susceptibility artefact correction by combining B0 field maps and non-rigid registration using graph cuts.
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.
Garvey, C.C., Cahill, N.D., Melbourne, A., Tanner, C., Ourselin, S., Hawkes, D.J. (2013). NONRIGID IMAGE REGISTRATION WITH TWO-SIDED SPACE-FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 747-751.
Hoang Duc, A.K., Modat, M., Leung, K.K., Cardoso, M.J., Barnes, J., Kadir, T., Ourselin, S. (2013). Using Manifold Learning for Atlas Selection in Multi-Atlas Segmentation. PLOS ONE, 8 (8), doi:10.1371/journal.pone.0070059
Hutton, B.F., Thomas, B.A., Erlandsson, K., Bousse, A., Reilhac-Laborde, A., Kazantsev, D., ...Ourselin, S. (2013). What approach to brain partial volume correction is best for PET/MRI?. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 702 29-33. doi:10.1016/j.nima.2012.07.059
Jorge Cardoso, M., Leung, K., Modat, M., Keihaninejad, S., Cash, D., Barnes, J., ...Alzheimer’s Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2013). STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.. MEDICAL IMAGE ANALYSIS, 17 (6), 671-684. doi:10.1016/j.media.2013.02.006
Keihaninejad, S., Zhang, H., Ryan, N.S., Malone, I.B., Modat, M., Cardoso, J., ...Ourselin, S. (2013). An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease. NeuroImage, doi:10.1016/j.neuroimage.2013.01.044
Leung, K.K., Bartlett, J.W., Barnes, J., Manning, E.N., Ourselin, S., Fox, N.C., Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2013). Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration.. NEUROLOGY, 80 (7), 648-654. doi:10.1212/WNL.0b013e318281ccd3
Liu, L., Shi, W., Rueckert, D., Hu, M., Ourselin, S., Zhuang, X. (2013). Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA..
Mahoney, C.J., Malone, I.B., Ridgway, G.R., Buckley, A.H., Downey, L.E., Golden, H.L., ...Rossor, M.N. (2013). White matter tract signatures of the progressive aphasias.. NEUROBIOLOGY OF AGING, 34 (6), 1687-1699. doi:10.1016/j.neurobiolaging.2012.12.002
Malone, I.B., Cash, D., Ridgway, G.R., MacManus, D.G., Ourselin, S., Fox, N.C., Schott, J.M. (2013). MIRIAD--Public release of a multiple time point Alzheimer's MR imaging dataset.. NeuroImage, 70 (0), 33-36. doi:10.1016/j.neuroimage.2012.12.044
Melbourne, A., Eaton-Rosen, Z., Bainbridge, A., Kendall, G.S., Cardoso, M.J., Robertson, N.J., ...Ourselin, S. (2013). Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry..
Muhlert, N., Sethi, V., Schneider, T., Daga, P., Cipolotti, L., Haroon, H.A., ...Miller, D.H. (2013). Diffusion MRI-based cortical complexity alterations associated with executive function in multiple sclerosis.. JOURNAL OF MAGNETIC RESONANCE IMAGING, 38 (1), 54-63. doi:10.1002/jmri.23970
Norris, F.C., Modat, M., Cleary, J.O., Price, A.N., McCue, K., Scambler, P.J., ...Lythgoe, M.F. (2013). Segmentation propagation using a 3D embryo atlas for high-throughput MRI phenotyping: comparison and validation with manual segmentation.. MAGNETIC RESONANCE IN MEDICINE, 69 (3), 877-883. doi:10.1002/mrm.24306
Ourselin, S., Rueckert, D., Smith, N. (2013). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7945 LNCS
Petersen, J., Modat, M., Cardoso, M.J., Dirksen, A., Ourselin, S., Bruijne, M.D. (2013). Quantitative Airway Analysis in Longitudinal Studies Using Groupwise Registration and 4D Optimal Surfaces..
Petersen, J., Modat, M., Cardoso, M.J., Dirksen, A., Ourselin, S., de Bruijne, M. (2013). Quantitative airway analysis in longitudinal studies using groupwise registration and 4D optimal surfaces.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 16 (Pt 2), 287-294.
Rodionov, R., Vollmar, C., Nowell, M., Miserocchi, A., Wehner, T., Micallef, C., ...McEvoy, A.W. (2013). Feasibility of multimodal 3D neuroimaging to guide implantation of intracranial EEG electrodes.. EPILEPSY RESEARCH, 107 (1-2), 91-100. doi:10.1016/j.eplepsyres.2013.08.002
Roth, H., McClelland, J., Hampshire, T., Boone, D., Hu, Y., Modat, M., ...Hawkes, D.J. (2013). Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension.. In Yoshida, H., Warfield, S.K., Vannier, M.W. (Eds.), Abdominal Imaging. Computation and Clinical Applications. (pp. 29-38). Springer.
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.
Ryan, N.S., Keihaninejad, S., Shakespeare, T.J., Lehmann, M., Crutch, S.J., Malone, I.B., ...Yousry, T. (2013). Magnetic resonance imaging evidence for presymptomatic change in thalamus and caudate in familial Alzheimer's disease.. Brain, doi:10.1093/brain/awt065
Scahill, R.I., Ridgway, G.R., Barnes, J., Ryan, N.S., Clarkson, M.J., Foster, J., ...Warren, J.D. (2013). Genetic influences on atrophy patterns in familial AD: a comparason of APP and PSEN-1 mutations. Journal of AD, 35 199-212. doi:10.3233/JAD-121255
Simonyan, K., Modat, M., Ourselin, S., Cash, D., Criminisi, A., Zisserman, A. (2013). Immediate ROI search for 3-D medical images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7723 LNCS 56-67. doi:10.1007/978-3-642-36678-9_6
Simpson, I.J.A., Woolrich, M.W., Cardoso, M.J., Cash, D.M., Modat, M., Schnabel, J.A., Ourselin, S. (2013). A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration..
Tobon-Gomez, C., De Craene, M., McLeod, K., Tautz, L., Shi, W., Hennemuth, A., ...Kapetanakis, S. (2013). Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.. MEDICAL IMAGE ANALYSIS, 17 (6), 632-648. doi:10.1016/j.media.2013.03.008
Veiga, C., Moinuddin, S., Ricketts, K., Modat, M., Ourselin, S., D'Souza, D., Royle, G.J. (2013). Towards adaptive radiotherapy for head and neck patients: validation of an in-house deformable registration algorithm. Journal of Physics, doi:10.1088/1742-6596/489/1/012083
Wang, H., Shi, W., Zhuang, X., Wu, X., Tung, K.-.P., Ourselin, S., ...Rueckert, D. (2013). Landmark Detection and Coupled Patch Registration for Cardiac Motion Tracking. MEDICAL IMAGING 2013: IMAGE PROCESSING, 8669 doi:10.1117/12.2006782
Winston, G.P., Cardoso, M.J., Williams, E.J., Burdett, J.L., Bartlett, P.A., Espak, M., ...Ourselin, S. (2013). Online automated hippocampal segmentation in patients with epilepsy.
Winston, G.P., Cardoso, M.J., Williams, E.J., Burdett, J.L., Bartlett, P.A., Espak, M., ...Ourselin, S. (2013). Automated hippocampal segmentation in patients with epilepsy: available free online.. EPILEPSIA, 54 (12), 2166-2173. doi:10.1111/epi.12408
Xi, J., Lamata, P., Niederer, S., Land, S., Shi, W., Zhuang, X., ...Rinaldi, C.A. (2013). The estimation of patient-specific cardiac diastolic functions from clinical measurements.. MEDICAL IMAGE ANALYSIS, 17 (2), 133-146. doi:10.1016/j.media.2012.08.001
Young, J., Ashburner, J., Ourselin, S., I.E.E.E. (2013). Wrapper methods to correct mislabelled training data.
Young, J., Modat, M., Cardoso, M.J., Mendelson, A., Cash, D., Ourselin, S. (2013). Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment. NeuroImage: clinical, 2 735-745.
Zhuang, X., Shi, W., Wang, H., Rueckert, D., Ourselin, S. (2013). Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI. MEDICAL IMAGING 2013: IMAGE PROCESSING, 8669 doi:10.1117/12.2007181
Zhuang, X., Song, J., Zhan, S., Lan, T., Huang, H., Hu, M., ...Li, Q. (2013). A registration and atlas propagation based framework for automatic whole heart segmentation of CT volumes. MEDICAL IMAGING 2013: IMAGE PROCESSING, 8669 doi:10.1117/12.2007454

2012

Allain, B., Hu, M., Lovat, L.B., Cook, R.J., Vercauteren, T., Ourselin, S., Hawkes, D.J. (2012). Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.. Medical Image Analysis, 16 (2), 482-496. doi:10.1016/j.media.2011.11.005
Bousse, A., Panagiotou, C., Erlandsson, K., Ourselin, S., Arridge, S., Hutton, B.F. (2012). Monotonic Algorithm for Joint Entropy-Based Anatomical Priors in Parametric PET Image Reconstruction.
Bousse, A., Pedemonte, S., Thomas, B.A., Erlandsson, K., Ourselin, S., Arridge, S., Hutton, B.F. (2012). Markov random field and Gaussian mixture for segmented MRI-based partial volume correction in PET.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (20), 6681-6705. doi:10.1088/0031-9155/57/20/6681
Cardoso, M.J., Modat, M., Ourselin, S., Keihaninejad, S., Cash, D. (2012). Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations. Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 153-158. doi:10.1109/MMBIA.2012.6164748
Cardoso, M.J., Winston, G., Modat, M., Keihaninejad, S., Duncan, J., Ourselin, S. (2012). Geodesic shape-based averaging..
Cardoso, M.J., Wolz, R., Modat, M., Fox, N.C., Rueckert, D., Ourselin, S. (2012). Geodesic information flows.
Cardoso, M.J., Wolz, R., Modat, M., Fox, N.C., Rueckert, D., Ourselin, S. (2012). Geodesic information flows..
Cash, D.M., Melbourne, A., Modat, M., Machado, M., Clarkson, M., Fox, N., Ourselin, S. (2012). Cortical Folding Analysis on Patients with Alzheimer’s Disease and Mild Cognitive Impairment.
Cheng, M., Marinovic, W., Watson, M., Ourselin, S., Passenger, J., De Visser, H., ...Riek, S. (2012). Abdominal Palpation Haptic Device for Colonoscopy Simulation Using Pneumatic Control. IEEE TRANSACTIONS ON HAPTICS, 5 (2), 97-108. doi:10.1109/ToH.2011.66
Fonteijn, H.M., Modat, M., Clarkson, M.J., Barnes, J., Lehmann, M., Hobbs, N.Z., ...Fox, N.C. (2012). An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.. NEUROIMAGE, 60 (3), 1880-1889. doi:10.1016/j.neuroimage.2012.01.062
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2012). Subsampled Fisher Information Matrix for Efficient Estimation of the Uncertainty in Emission Tomography. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2251-2256.
Fuin, N., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B.F. (2012). Use of the Fisher Information Matrix to Optimize the Acquisition Protocol for a D-SPECT System. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2137-2142.
Han, L., Hipwell, J.H., Tanner, C., Taylor, Z., Mertzanidou, T., Cardoso, J., ...Hawkes, D.J. (2012). Development of patient-specific biomechanical models for predicting large breast deformation.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (2), 455-472. doi:10.1088/0031-9155/57/2/455
Hoang Duc, A.K., Modat, M., Leung, K.K., Barnes, J., Fox, N.C., Kadir, T., Ourselin, S. (2012). Manifold learning for atlas selection in multiatlas based segmentation of hippocampus.
Kazantsev, D., Arridge, S.R., Pedemonte, S., Bousse, A., Erlandsson, K., Hutton, B.F., Ourselin, S. (2012). An anatomically driven anisotropic diffusion filtering method for 3D SPECT reconstruction.. PHYSICS IN MEDICINE AND BIOLOGY, 57 (12), 3793-3810. doi:10.1088/0031-9155/57/12/3793
Keihaninejad, S., Ryan, N., Malone, I.B., Modat, M., Cash, D.M., Ridgway, G., ...Ourselin, S. (2012). The importance of group-wise registration in Tract Based Spatial Statistics study of neurodegeneration: A simulation study in Alzheimer’s disease. PLoS One, 7 (11), doi:10.1371/journal.pone.0045996
Macdonald, K.E., Bartlett, J.W., Leung, K.K., Ourselin, S., Barnes, J. (2012). The Value of Hippocampal and Temporal Horn Volumes and Rates of Change in Predicting Future Conversion to AD. Alzheimer Dis Assoc Disord,
Ma, D., Cardoso, M., Modat, M., Powell, N., Holmes, H., Lythgoe, M., Ourselin, S. (2012). Multi Atlas Segmentation applied to in vivo mouse brain MRI.
Martin, J., McClelland, J., Thomas, C., Wildermuth, K., Landau, D., Ourselin, S., Hawkes, D. (2012). Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography. Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 281-286. doi:10.1109/MMBIA.2012.6164764
Melbourne, A., Cahill, N., Tanner, C., Modat, M., Hawkes, D.J., Ourselin, S. (2012). Using fractional gradient information in non-rigid image registration: Application to breast MRI. MEDICAL IMAGING 2012: IMAGE PROCESSING, 8314 doi:10.1117/12.911173
Melbourne, A., Kendall, G.S., Cardoso, M.J., Gunney, R., Robertson, N.J., Marlow, N., Ourselin, S. (2012). Radial structure in the preterm cortex; persistence of the preterm phenotype at term equivalent age?.
Mertzanidou, T., Hipwell, J., Cardoso, M.J., Zhang, X., Tanner, C., Ourselin, S., ...Hawkes, D. (2012). MRI to X-ray mammography registration using a volume-preserving affine transformation.. MEDICAL IMAGE ANALYSIS, 16 (5), 966-975. doi:10.1016/j.media.2012.03.001
Modat, M., Cardoso, M.J., Cash, D.M., Leung, K.K., Clarkson, M.J., Barnes, J., ...Ourselin, S. (2012). A Pipeline for efficient segmentation using a large template library..
Modat, M., Cardoso, M.J., Daga, P., Cash, D.M., Fox, N.C., Ourselin, S. (2012). Inverse-Consistent Symmetric Free Form Deformation..
Modat, M., Daga, P., Cardoso, M.J., Ourselin, S., Ridgway, G.R., Ashburner, J. (2012). Parametric non-rigid registration using a stationary velocity field.
Pedemonte, S., Arridge, S., Hutton, B.F., Ourselin, S. (2012). Joint Estimation of the Activity and the Events of Interaction in SPECT Systems.
Pedemonte, S., Cardoso, M.J., Arridge, S.R., Hutton, B.F., Ourselin, S. (2012). Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET..
Rohrer, J.D., Clarkson, M.J., Kittus, R., Rossor, M.N., Ourselin, S., Warren, J.D., Fox, N.C. (2012). Rates of hemispheric and lobar atrophy in the language variants of frontotemporal lobar degeneration.. JOURNAL OF ALZHEIMERS DISEASE, 30 (2), 407-411. doi:10.3233/JAD-2012-111556
Roth, H., Mcclelland, J., Modat, M., Hampshire, T., Boone, D., hu, M., ...Hawkes, D. (2012). WE‐E‐213CD‐03: Inverse‐Consistent Symmetric Registration of Inner Colon Surfaces Derived from Prone and Supine CT Colonography. Medical Physics, 39 (6), 3959-3960. doi:10.1118/1.4736159
Roth, H., McClelland, J., Modat, M., Hampshire, T., Boone, D., Hu, M., ...Hawkes, D. (2012). Inverse-Consistent Symmetric Registration of Inner Colon Surfaces Derived From Prone and Supine CT Colonography.
Samson, R., Cardoso, M., Muhlert, N., Sethi, V., Wheeler-Kingshott, C., Ourselin, S., ...Chard, D. (2012). MTR analysis of inner and outer cortical bands in multiple sclerosis.
Shi, W., Zhuang, X., Wang, H., Duckett, S., Luong, D.V.N., Tobon-Gomez, C., ...Razavi, R.S. (2012). A comprehensive cardiac motion estimation framework using both untagged and 3-D tagged MR images based on nonrigid registration.. IEEE TRANSACTIONS ON MEDICAL IMAGING, 31 (6), 1263-1275. doi:10.1109/TMI.2012.2188104
Shi, W., Zhuang, X., Wolz, R., Duckett, S.G., Tung, K.-.P., Wang, H., ...Rueckert, D. (2012). A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation..
Thomas, B.A., Erlandsson, K., Reilhac, A., Bousse, A., Kazantsev, D., Pedemonte, S., ...Hutton, B.F. (2012). A Comparison of the Options for Brain Partial Volume Correction Using PET/MRI.
Vonach, M., Marson, B., Yun, M., Cardoso, J., Modat, M., Ourselin, S., Holder, D. (2012). A method for rapid production of subject specific finite element meshes for electrical impedance tomography of the human head.. Physiological measurement, 33 (5), 801-.
Vunckx, K., Arridge, S.R., Bousse, A., Kazantsev, D., Pedemonte, S., Ourselin, S., Hutton, B.F. (2012). Unifying Global and Local Statistical Measures for Anatomy-Guided Emission Tomography Reconstruction. 2012 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE RECORD (NSS/MIC), 2161-2165.
Wang, H., Shi, W., Zhuang, X., Duckett, S.G., Tung, K.-.P., Edwards, P.J., ...Rueckert, D. (2012). Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images..
Young, J., Modat, M., Cardoso, M.J., Ashburner, J., Ourselin, S. (2012). Classification of Alzheimer's disease patients and controls with Gaussian processes..
Young, J., Ridgway, G.R., Leung, K.K., Ourselin, S. (2012). Classification of Alzheimer's disease patients with hippocampal shape, wrapper based feature selection and support vector machine.
Zuluaga, M.A., Cardoso, M.J., Ourselin, S. (2012). Automatic right ventricle segmentation using multi-label fusion in cardiac MRI.

2011

Alner, K., Hyare, H., Mead, S., Rudge, P., Wroe, S., Rohrer, J.D., ...Hunt, H. (2011). Distinct neuropsychological profiles correspond to distribution of cortical thinning in inherited prion disease caused by insertional mutation.. Journal of Neurology, Neurosurgery & Psychiatry, doi:10.1136/jnnp-2011-300167
Cardoso, M.J., Clarkson, M.J., Modat, M., Ourselin, S. (2011). On the extraction of topologically correct thickness measurements using Khalimsky's cubic complex.
Cardoso, M.J., Clarkson, M.J., Modat, M., Ourselin, S. (2011). NiftySeg.
Cardoso, M.J., Clarkson, M.J., Modat, M., Ourselin, S. (2011). Longitudinal cortical thickness estimation using Khalimsky's cubic complex..
Cardoso, M.J., Clarkson, M.J., Modat, M., Talbot, H., Couprie, M., Ourselin, S. (2011). Topologically correct cortical segmentation using Khalimsky's cubic complex framework.
Cardoso, M.J., Clarkson, M.J., Ridgway, G.R., Modat, M., Fox, N.C., Ourselin, S., Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2011). LoAd: a locally adaptive cortical segmentation algorithm.. NEUROIMAGE, 56 (3), 1386-1397. doi:10.1016/j.neuroimage.2011.02.013
Cardoso, M.J., Melbourne, A., Kendall, G.S., Hagmann, C., Bainbridge, A., Marlow, N., ...Ourselin, S. (2011). ADAPTIVE NEONATAL BRAIN SEGMENTATION: APPLICATION TO VENTRICULOMEGALY AND EXCESS EXTRA-AXIAL CEREBRAL-SPINAL FLUID. PEDIATRIC RESEARCH, 70 30. doi:10.1038/pr.2011.255
Cardoso, M.J., Melbourne, A., Kendall, G.S., Modat, M., Hagmann, C.F., Robertson, N.J., ...Ourselin, S. (2011). Adaptive neonate brain segmentation..
Clarkson, M.J., Cardoso, M.J., Modat, M., Ridgway, G.R., Leung, K.K., Rohrer, J.D., ...Fox, N. (2011). A Comparative Study of Voxel and Surface Based Cortical Thickness Methods in Frontotemporal Dementia.
Clarkson, M.J., Cardoso, M.J., Ridgway, G.R., Modat, M., Leung, K.K., Rohrer, J.D., ...Ourselin, S. (2011). A comparison of voxel and surface based cortical thickness estimation methods. NeuroImage, 57 (3), 856-865. doi:10.1016/j.neuroimage.2011.05.053
Clarkson, M.J., Cardoso, M., Modat, M., Ridgway, G.R., Leung, K.K., Rohrer, J., ...Ourselin, S. (2011). Cross-sectional analysis using voxel or surface based cortical thickness methods: a comparison study.
Clarkson, M.J., Modat, M., Han, L., Ourselin, S., Hawkes, D.J., Alexander, D.C., ...Barrat, D. (2011). The UCL Centre for Medical Image Computing (CMIC): An integrated suite of open source software tools to support imaging research in Neurosciences, Oncology and Cardiovascular Sciences.
Cleary, J.O., Modat, M., Norris, F.C., Price, A.N., Jayakody, S.A., Martinez-Barbera, J.P., ...Scambler, P.J. (2011). Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping.. NEUROIMAGE, 54 (2), 769-778. doi:10.1016/j.neuroimage.2010.07.039
Daga, P., Winston, G., Modat, M., Cardoso, M.J., White, M., Mancini, L., ...Yousry, T. (2011). Improved neuronavigation through integration of intraoperative anatomical and diffusion images in an interventional MRI suite.
Daga, P., Winston, G., Modat, M., White, M., Mancini, L., Cardoso, M., ...Ourselin, S. (2011). Accurate localisation of optic radiation during neurosurgery in an interventional MRI Suite. IEEE Trans Med Imaging, doi:10.1109/TMI.2011.2179668
Fonteijn, H.M., Clarkson, M.J., Modat, M., Barnes, J., Lehmann, M., Ourselin, S., ...Alexander, D.C. (2011). An event-based disease progression model and its application to familial Alzheimer's disease.
Han, L., HIPWELL, J., Mertzanidou, T., Carter, T., Modat, M., Ourselin, S., Hawkes, D. (2011). A HYBRID FEM-BASED METHOD FOR ALIGNING PRONE AND SUPINE IMAGES FOR IMAGE GUIDED BREAST SURGERY.
Kazantsev, D., Bousse, A., Pedemonte, S., Arridge, S.R., Hutton, B.F., Ourselin, S. (2011). Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 1158-1161.
Lehmann, M., Rohrer, J.D., Clarkson, M.J., Ridgway, G.R., Scahill, R.I., Modat, M., ...Rossor, M.N. (2011). Patterns of cortical thickness in pathologically-confirmed typical and atypical Alzheimer's disease. In Handbook of Imaging the Alzheimer Brain. (pp. 57-67). IOS Press.
Leung, K.K., Barnes, J., Modat, M., Ridgway, G.R., Bartlett, J., Fox, N.C., Ourselin, S. (2011). Automated brain extraction using multi-atlas propagation and segmentation (MAPS).
Leung, K.K., Barnes, J., Modat, M., Ridgway, G.R., Bartlett, J.W., Fox, N.C., ...Alzheimer's Disease Neuroimaging, I.n.i.t.i.a.t.i.v.e. (2011). Brain MAPS: an automated, accurate and robust brain extraction technique using a template library.. NeuroImage, 55 (3), 1091-1108.
Leung, K.K., Ridgway, G.R., Clarkson, M.J., Nielsen, C., Ourselin, S., Fox, N. (2011). Automated and consistent brain atrophy estimation using boundary shift integral in longitudinal MRI study.
Leung, K.K., Ridgway, G.R., Ourselin, S., Fox, N.C. (2011). Consistent multi-time-point brain atrophy estimation from the boundary shift integral. NeuroImage, (0), doi:10.1016/j.neuroimage.2011.10.068
Leung, K.K., Ridgway, G.R., Ourselin, S., Fox, N.C. (2011). Consistent multi-time-point brain atrophy estimation from the boundary shift integral.. Neuroimage,
McClelland, J.R., Hughes, S., Modat, M., Qureshi, A., Ahmad, S., Landau, D.B., ...Hawkes, D.J. (2011). Inter-fraction variations in respiratory motion models.. PHYSICS IN MEDICINE AND BIOLOGY, 56 (1), 251-272. doi:10.1088/0031-9155/56/1/015
Melbourne, A., Hipwell, J., Modat, M., Mertzanidou, T., Huisman, H., Ourselin, S., Hawkes, D.J. (2011). The effect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI.. PHYSICS IN MEDICINE AND BIOLOGY, 56 (24), 7693-7708. doi:10.1088/0031-9155/56/24/001
Melbourne, A., Kendall, G.S., Cardoso, M.J., San, P., Hagman, C., Bainbridge, A., ...Robertson, N.J. (2011). AUTOMATED ANALYSIS OF THE PRETERM NEONATAL CORTEX AT TERM EQUIVALENT AGE AND CORRELATION WITH COGNITIVE OUTCOME AT 1 YEAR CORRECTED AGE. PEDIATRIC RESEARCH, 70 193. doi:10.1038/pr.2011.418
Modat, M., Ridgway, G.R., Daga, P., Cardoso, M.J., Hawkes, D.J., Ashburner, J., Ourselin, S. (2011). Log-Euclidean free-form deformation.
Murphy, K., Van Ginneken, B., Reinhardt, J., Kabus, S., Ding, K., Deng, X., ...Garcia, V. (2011). Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.. IEEE transactions on medical imaging, 30 (11), 1901-1920.
Norris, F.C., Cleary, J.O., Modat, M., Sinclair, B., Mccue, K., Wells, J.A., ...Scambler, P.J. (2011). Mouse phenotyping using high resolution 3D microscopic magnetic resonance imaging.
Pedemonte, S., Bousse, A., Hutton, B.F., Arridge, S., Ourselin, S. (2011). Probabilistic graphical model of SPECT/MRI. MACHINE LEARNING IN MEDICAL IMAGING, 7009 167-+.
Ridgway, G.R., Lehmann, M., Rohrer, J., Clarkson, M., Warren, J., Ourselin, S., Fox, N. (2011). Balanced sensitivity and specificity on unbalanced data using support vector machine re-thresholding.
Rohrer, J.D., Lashley, T., Schott, J.M., Warren, J.E., Mead, S., Isaacs, A.M., ...Warrington, E. (2011). Clinical and neuroanatomical signatures of tissue pathology in frontotemporal lobar degeneration. Brain, 134 (9), 2565-2581.
Roth, H.R., McClelland, J.R., Boone, D.J., Modat, M., Cardoso, M.J., Hampshire, T.E., ...Slabaugh, G.G. (2011). Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography. Medical Physics, 38 (6), 3077-3089. doi:10.1118/1.3577603
Shi, W., Zhuang, X., Wang, H., Duckett, S.G., O'Regan, D.P., Edwards, P.J., ...Rueckert, D. (2011). Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation..
SIOW, B., Cleary, J.O., Greene, N.D., Daga, P., Modat, M., Ordidge, R., ...Lythgoe, M.F. (2011). Mouse Embryo Phenotyping with Contrast-enhanced micro-Diffusion Tensor Imaging.
Taylor, Z.A., Crozier, S., Ourselin, S. (2011). A reduced order explicit dynamic finite element algorithm for surgical simulation.. IEEE Trans Med Imaging, 30 (9), 1713-1721. doi:10.1109/TMI.2011.2143723
Thomas, B.A., Erlandsson, K., Modat, M., Thurfjell, L., Vandenberghe, R., Ourselin, S., Hutton, B.F. (2011). The importance of appropriate partial volume correction for PET quantification in Alzheimer's disease.. Eur J Nucl Med Mol Imaging, 38 (6), 1104-1119. doi:10.1007/s00259-011-1745-9
Thomas, B.A., Erlandsson, K., Thurfjell, L., Ourselin, S., Hutton, B.F. (2011). An improved iterative MR-based partial volume correction technique for brain PET quantification.
Thomas, B.A., Erlandsson, K., Thurfjell, L., Vandenberghe, R., Ourselin, S., Hutton, B.F. (2011). White matter variability for two amyloid brain PET tracers: implications for partial volume correction.
Winston, G.P., Daga, P., Stretton, J., Modat, M., Symms, M.R., McEvoy, A.W., ...Duncan, J.S. (2011). Developing optic radiation tractography to reduce visual field deficits following anterior temporal lobe resection.
Zhang, D.P., Zhuang, X., Ourselin, S., Rueckert, D. (2011). Motion tracking of left ventricle and coronaries in 4D CTA.
Zhuang, X., Arridge, S., Hawkes, D.J., Ourselin, S. (2011). A nonrigid registration framework using spatially encoded mutual information and free-form deformations.. IEEE Trans Med Imaging, 30 (10), 1819-1828. doi:10.1109/TMI.2011.2150240
Zhuang, X., Shi, W., Duckett, S.G., Wang, H., Razavi, R., Hawkes, D.J., ...Ourselin, S. (2011). A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions..

2010

Allain, B., Hu, M., Lovat, L.B., Cook, R.J., Vercauteren, T., Ourselin, S., Hawkes, D.J. (2010). A system for biopsy site re-targeting with uncertainty in gastroenterology and oropharyngeal examinations..
Archer, H.A., Kennedy, J., Barnes, J., Pepple, T., Boyes, R., Randlesome, K., ...Frost, C. (2010). Memory complaints and increased rates of brain atrophy: risk factors for mild cognitive impairment and Alzheimer's disease. International Journal of Geriatric Psychiatry, 25 (11), 1119-1126. doi:10.1002/gps.2440
Barnes, J., Ridgway, G.R., Bartlett, J., Henley, S.M., Lehmann, M., Hobbs, N., ...Fox, N.C. (2010). Head size, age and gender adjustment in MRI studies: a necessary nuisance?. Neuroimage, 53 (4), 1244-1255. doi:10.1016/j.neuroimage.2010.06.025
Bourgeat, P., Chételat, G., Villemagne, V.L., Fripp, J., R.a.n.i.g.a., P., ......O. (2010). Beta-amyloid burden in the temporal neocortex is related to hippocampal atrophy in elderly subjects without dementia.. Neurology, 74 (2), 121-127.
Bousse, A., Erlandsson, K., Pedemonte, S., Kazantsev, D., Ourselin, S., Arridge, S., Hutton, B.F. (2010). Weighted MRI-Based bowsher priors for SPECT brain image reconstruction. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3519-3522.
Bousse, A., Fuin, N., Erlandsson, K., Pedemonte, S., Kazantsev, D., Ourselin, S., ...Hutton, B.F. (2010). Point spread function optimization in SPECT. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2061-2065.
Cardoso, M.J., Clarkson, M.J., Modat, M., Ridgway, G.R., Ourselin, S. (2010). Locally weighted Markov random fields for cortical segmentation.
Clarkson, M.J., Malone, I.B., Modat, M., Leung, K.K., Ryan, N., Alexander, D.C., ...Ourselin, S. (2010). A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation.
Dowling, J., Lambert, J., Parker, J., Greer, P.B., Fripp, J., Denham, J., ...Salvado, O. (2010). Automatic MRI Atlas-Based External Beam Radiation Therapy Treatment Planning for Prostate Cancer..
Fripp, J., Crozier, S., Warfield, S.K., Ourselin, S. (2010). Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee. IEEE Trans Med Imaging, 29 (1), 55-64. doi:10.1109/TMI.2009.2024743
Fuin, N., Bousse, A., Pedemonte, S., Arridge, S., Ourselin, S., Hutton, B. (2010). Collimator Design in SPECT, an Optimisation Tool. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3149-3154.
Guitera, P., Bourgeat, P., Stretch, J.R., Scolyer, R.A., Ourselin, S., Lean, C., ...Bourne, R. (2010). Diagnostic value of 8.5 T magnetic resonance spectroscopy of benign and malignant skin lesion biopsies.. Melanoma Res, 20 (4), 311-317.
Han, L., Hipwell, J.H., Taylor, Z.A., Tanner, C., Ourselin, S., Hawkes, D.J. (2010). Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method..
Kazantsev, D., Pedemonte, S., Bousse, A., Panagiotou, C., Arridge, S.R., Hutton, B.F., Ourselin, S. (2010). ET Bayesian reconstruction using automatic bandwidth selection for joint entropy optimization. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 3301-3307.
Lee, B., Popescu, D.C., Ourselin, S. (2010). Topology modification for surgical simulation using precomputed finite element models based on linear elasticity.. Prog Biophys Mol Biol, 103 (2-3), 236-251. doi:10.1016/j.pbiomolbio.2010.09.011
Lehmann, M., Douiri, A., Kim, L.G., Modat, M., Chan, D., Ourselin, S., ...Fox, N.C. (2010). Atrophy patterns in Alzheimer's disease and semantic dementia: a comparison of FreeSurfer and manual volumetric measurements.. Neuroimage, 49 (3), 2264-2274. doi:10.1016/j.neuroimage.2009.10.056
Lehmann, M., Rohrer, J.D., Clarkson, M.J., Ridgway, G.R., Scahill, R.I., Modat, M., ...Rossor, M.N. (2010). Reduced Cortical Thickness in the Posterior Cingulate Gyrus is Characteristic of Both Typical and Atypical Alzheimer's Disease. J Alzheimer Dis, 20 (2), 587-598. doi:10.3233/JAD-2010-1401
Leung, K.K., Barnes, J., Ridgway, G.R., Bartlett, J.W., Clarkson, M.J., Macdonald, K., ...Ourselin, S. (2010). Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. NeuroImage, 51 (4), 1345-1359. doi:10.1016/j.neuroimage.2010.03.018
Leung, K.K., Clarkson, M.J., Bartlett, J.W., Clegg, S., Jack, C.R., Weiner, M.W., ...the, A.D.N.I. (2010). Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection. Neuroimage, 50 (2), 516-523. doi:10.1016/j.neuroimage.2009.12.059
Leung, K.K., Shen, K.-.K., Barnes, J., Ridgway, G.R., Clarkson, M.J., Fripp, J., ...Bourgeat, P. (2010). Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer’s Disease Using Hippocampal Atrophy Rate and Statistical Shape Models.
Mertzanidou, T., Hipwell, J.H., Cardoso, M.J., Tanner, C., Ourselin, S., Hawkes, D.J. (2010). X-ray Mammography - MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification..
Modat, M., Daga, P., Clarkson, M.J., Ourselin, S. (2010). NiftyReg.
Modat, M., Ridgway, G.R., Hawkes, D.J., Fox, N.C., Ourselin, S. (2010). Nonrigid registration with differential bias correction using normalised mutual information.
Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Hawkes, D.J., ...Ourselin, S. (2010). Fast free-form deformation using graphics processing units.. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 98 (3), 278-284. doi:10.1016/j.cmpb.2009.09.002
Modat, M., Taylor, Z., Ridgway, G., Barnes, J., Wild, E., Hawkes, D.J., ...Ourselin, S. (2010). Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington’s Disease Data.
Modat, M., Vercauteren, T., Ridgway, G.R., Hawkes, D.J., Fox, N.C., Ourselin, S. (2010). Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images.
Norris, F.C., Cleary, J.O., Modat, M., Price, A.N., McCue, K., Beddow, S., ...Lythgoe, M.F. (2010). Propagation-Based Morphometry in an Ex Vivo Mouse Embryo Atlas - Assessment and Validation.
Norris, F.C., Cleary, J.O., Modat, M., Sinclair, B., McCue, K., Wells, J.A., ...Scambler, P.J. (2010). Mouse phenotyping using high resolution 3D microscopic magnetic resonance imaging..
Pedemonte, S., Bousse, A., Erlandsson, K., Modat, M., Arridge, S., Hutton, B.F., Ourselin, S. (2010). GPU accelerated rotation-based emission tomography reconstruction. 2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2657-2661.
Pedemonte, S., Cardoso, M.J., Bousse, A., Panagiotou, C., Kazantsev, D., Arridge, S., ...Ourselin, S. (2010). Class Conditional Entropic Prior for MRI Enhanced SPECT Reconstruction.
Pedemonte, S., Ourselin, S. (2010). NiftyRec.
Rohrer, J.D., Ridgway, G.R., Crutch, S.J., Hailstone, J., Goll, J.C., Clarkson, M.J., ...Ourselin, S. (2010). Progressive logopenic/phonological aphasia: erosion of the language network.. NEUROIMAGE, 49 (1), 984-993. doi:10.1016/j.neuroimage.2009.08.002
Rohrer, J.D., Ridgway, G.R., Modat, M., Ourselin, S., Mead, S., Fox, N.C., ...Warren, J.D. (2010). Distinct profiles of brain atrophy in frontotemporal lobar degeneration caused by progranulin and tau mutations.. Neuroimage, doi:10.1016/j.neuroimage.2009.12.088
Roth, H., McClelland, J., Boone, D., Hu, M., Ourselin, S., Slabaugh, G., ...Medicsight, P.L.C. (2010). Conformal Mapping of the Inner Colon Surface to a Cylinder for the Application of Prone to Supine Registration.
Roth, H., McClelland, J., Modat, M., Boone, D., Hu, M., Ourselin, S., ...Hawkes, D. (2010). Establishing spatial correspondence between the inner colon surfaces from prone and supine CT colonography..
Ryan, N.S., Malone, I., Lehmann, M., Crutch, S., Ourselin, S., Ciccarelli, O., Fox, N.C. (2010). Patterns of white matter tract degeneration and grey matter loss in posterior cortical atrophy and typical amnestic presentations of Alzheimer's disease.
Ryan, N.S., Okello, A., Knight, W.D., Lehmann, M., Malone, I., Clarkson, M., ...Thornton, J. (2010). Early subcortical amyloid deposition in familial Alzheimer's disease is accompanied by changes in tissue volume and diffusivity.
Schott, J.M., Bartlett, J.W., Barnes, J., Leung, K.K., Ourselin, S., Fox, N.C. (2010). Reduced sample sizes for atrophy outcomes in Alzheimer's disease trials: baseline adjustment. Neurobiol Aging, 31 (8), 1452-1462.e2.
Taylor, Z.A., Crozier, S., Ourselin, S. (2010). Real-time surgical simulation using reduced order finite element analysis..
Taylor, Z.A., Johnsen, S., Ourselin, S. (2010). NiftySim.
Taylor, Z.A., Ourselin, S., Crozier, S. (2010). A reduced order finite element algorithm for surgical simulation..
Visser, H.D., Passenger, J., Conlan, D., Russ, C., Hellier, D., Cheng, M., ...Salvado, O. (2010). Developing a Next Generation Colonoscopy Simulator.. Int J Image and Graphics, 10 (2), 203-217. doi:10.1142/S0219467810003731
Yang, G., Hipwell, J.H., Clarkson, M.J., Tanner, C., Mertzanidou, T., Gunn, S., ...Arridge, S.R. (2010). Combined Reconstruction and Registration of Digital Breast Tomosynthesis..
Zhuang, X., Hawkes, D.J., Ourselin, S. (2010). Spatial Information Encoded Mutual Information for Nonrigid Registration..
Zhuang, X., Leung, K., Rhode, K., Razavi, R., Hawkes, D., Ourselin, S. (2010). Whole Heart Segmentation of Cardiac MRI Using Multiple Path Propagation Strategy.
Zhuang, X., Rhode, K.S., Razavi, R.S., Hawkes, D.J., Ourselin, S. (2010). A registration-based propagation framework for automatic whole heart segmentation of cardiac MRI.. IEEE Trans Med Imaging, 29 (9), 1612-1625. doi:10.1109/TMI.2010.2047112
Zhuang, X., Yao, C., Ma, Y., Hawkes, D.J., Penney, G.P., Ourselin, S. (2010). Registration-based propagation for whole heart segmentation from compounded 3D echocardiography..

2009

Acosta, O., Bourgeat, P., Zuluaga, M.A., Fripp, J., Salvado, O., Ourselin, S., Alzheimer's Disease Neuroimaging, I. (2009). Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps. Medical Image Analysis, 13 (5), 730-743. doi:10.1016/j.media.2009.07.003
Allain, B., Hu, M.X., Lovat, L.B., Ourselin, S., Cook, R., Hawkes, D.J. (2009). Biopsy Site Re-localisation based on the Computation of Epipolar Lines from Two Previous Endoscopic Images.
Barnes, J., Ourselin, S., Fox, N.C. (2009). Clinical application of measurement of hippocampal atrophy in degenerative dementias. Hippocampus, 19 (6), 510-516. doi:10.1002/hipo.20617
Cardoso, M.J., Clarkson, M.J., Ridgway, G.R., Modat, M., Fox, N.C., Ourselin, S. (2009). Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors.
Clarkson, M.J., Nielsen, C., Leung, K.K., Barnes, J., Whitwell, J.L., Gunter, J., ...The, A.D.N.I.A.D.N.I. (2009). Correction of MRI Scaling Parameters: A comparison of phantom and registration methods on the ADNI dataset.
Clarkson, M.J., Ourselin, S., Nielsen, C., Leung, K.K., Barnes, J., Whitwell, J.L., ...Jack, C.R. (2009). Comparison of phantom and registration scaling corrections using the ADNI cohort. NeuroImage, 47 (4), 1506-1513. doi:10.1016/j.neuroimage.2009.05.045
Fripp, J., Bourgeat, P., Engstrom, C., Ourselin, S., Crozier, S., Salvado, O. (2009). AUTOMATED SEGMENTATION OF THE MENISCI FROM MR IMAGES.
Modat, M., Ridgway, G.R., Taylor, Z.A., Hawkes, D.J., Fox, N.C., Ourselin, S. (2009). A parallel-friendly normalized mutual information gradient for free-form registration.
Raniga, P., Bourgeat, P., Fripp, J., Acosta, O., Ourselin, S., Rowe, C., ...Salvado, O. (2009). Alzheimer's disease detection using 11C-PiB with improved partial volume effect correction. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7262 doi:10.1117/12.813501
Thomas, B., Erlandsson, K., Ourselin, S., Thurfjell, L., Hutton, B. (2009). A brain phantom study of iterative deconvolution versus anatomical-based partial-volume correction techniques.
Zhuang, X., Rhode, K., Razavi, R., Hawkes, D.J., Ourselin, S. (2009). Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation.
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