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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, 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 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 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 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. 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. 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 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. 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. Presented at: 10th International Conference on Frontotemporal Dementias Munich, GERMANY. 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 Arbel, T., Cardoso, M.J., Wells, W., Chung, A.C.S., Precup, D. (2016). Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis. COMPUTER VISION AND IMAGE UNDERSTANDING, 151 1-2. doi:10.1016/j.cviu.2016.08.011 Burgos, N., Thielemans, K., Cardoso, M.J., Markiewicz, P., Jiao, J., Dickson, J., ...Hutton, B.F. (2016). Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR. 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. 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, 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 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 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. 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 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 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 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. Presented at: 10th International Conference on Frontotemporal Dementias Munich, GERMANY. 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 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.