UCL Queen Square Institute of Neurology



Z Nagy, DL Thomas*, N Weiskopf*. Orthogonalizing crusher and diffusion–encoding gradients to suppress undesired echo pathways in the twice–refocused spin echo diffusion sequence. Magn. Reson. Med. 71:506-515 (2014) *joint senior author [PMID: 23440863]


N Muhlert, M Atzori, E De Vita, DL Thomas, RS Samson, CAM Wheeler-Kingshott, JJG Geurts, DH Miller, AJ Thompson, O Ciccarelli. Memory in multiple sclerosis is linked to glutamate concentration in grey matter regions. J Neurol Neurosurg Psychiatry 85(8):833-9 (2014) [PMID: 24431465]


M Vidorreta, E Balteau, Z Wang, E De Vita, MA Pastor, DL Thomas, JA Detre, MA Fernández-Seara. Whole-brain high-resolution arterial spin labeling at 3T using segmented 3D acquisition schemes. NMR Biomed. 27(11):1387-96 (2014) [PMID: 25263944]


JD Rohrer, J Nicholas, D Cash, J van Swieten, E Dopper, L Jiskoot, SA Rombouts, MJ Cardoso, S Clegg, M Espak, S Mead, DL Thomas, E De Vita et al. Presymptomatic cognitive and neuroanatomical changes in genetic frontotemporal dementia in the GENFI study: cross-sectional analysis of baseline data. Lancet Neurology 14(3): 253-262 (2015) [PMID: 25662776]


A Bisecco, MA Rocca, E Pagani, L Mancini, C Enzinger, A Gallo, H Vrenken, ML Stromillo, M Copetti, DL Thomas, F Fazekas, G Tedeschi, F Barkhof, N De Stefano, M Filippi, and the MAGNIMS Network. Connectivity-based parcellation of the thalamus in multiple sclerosis and its implications for cognitive impairment: a multi-center study. Hum. Brain Mapp. 36(7): 2809-25 (2015) [PMID: 25873194]


AE Campbell-Washburn, D Atkinson, Z Nagy, MF Lythgoe, RJ Ordidge, DL Thomas. Correction of RF spike noise in MR images using robust principal component analysis. Magn. Reson. Med. (In Press) [PMID: 26193125]



M Bocchetta, E Gordon, E Manning, J Barnes, DM Cash, M Espak, DL Thomas, M Modat, MN Rossor, JD Warren, S Ourselin, GB Frisoni, JD Rohrer. Detailed volumetric analysis of the hypothalamus in behavioral variant frontotemporal dementia. J Neurol (In Press) doi:10.1007/s00415-015-7885-2


Burgos, N., Cardoso, M. J., Thielemans, K., Modat, M., Dickson, J., Schott, J. M., Atkinson, D., et al. (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


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


Modat, M., Cash, D. M., Daga, P., Winston, G. P., Duncan, J. S., & Ourselin, S. (2014a). A symmetric block-matching framework for global registration. In S. Ourselin & M. A. Styner (Eds.), SPIE Proceedings 0277786X (Vol. 9034, p. 90341D). Presented at the SPIE Medical Imaging: Image Processing, SPIE. doi:10.1117/12.2043652


Modat, M., Cash, D. M., Daga, P., Winston, G. P., Duncan, J. S., & Ourselin, S. (2014b). Global image registration using a symmetric block-matching approach. Journal of Medical Imaging, 1(2), 024003–024003. doi:10.1117/1.JMI.1.2.024003


Modat, M., Simpson, I. J., Cardoso, M. J., Cash, D. M., Toussaint, N., Fox, N. C., & Ourselin, S. (2014c). Simulating neurodegeneration through longitudinal population analysis of structural and diffusion weighted MRI data. (Vol. 17, pp. 57–64). Presented at the International Conference on Medical Image Computing and Computer-Assisted Intervention.


Parker, C. S., Deligianni, F., Cardoso, M. J., Daga, P., Modat, M., Dayan, M., Clark, C. A., et al. (2014). Consensus between pipelines in structural brain networks. PloS one, 9(10), e111262. doi:10.1371/journal.pone.0111262


Prados, F., Cardoso, M. J., Leung, K. K., Cash, D. M., Modat, M., Fox, N. C., Wheeler-Kingshott, C. A. M., et al. (2015). Measuring brain atrophy with a generalized formulation of the boundary shift integral. Neurobiology of aging, 36(S1), S81–S90. doi:10.1016/j.neurobiolaging.2014.04.035


Sudre, C. H., Cardoso, M. J., & Ourselin, S. (2014a). Bilayered anatomically-constrained split-and-merge expectation maximisation algorithm (BiASM) for brain segmentation. (S. Ourselin & M. A. Styner, Eds.) SPIE Medical Imaging: Image Processing. doi:10.1117/12.2041690


Sudre, C. H., Cardoso, M. J., Bouvy, W., Biessels, G. J., Barnes, J., & Ourselin, S. (2014b). Bayesian model selection for pathological data. Lecture Notes in Computer Science, MICCAI (Vol. 8673, pp. 323–330). doi:10.1007/978-3-319-10404-1_41


Sudre, C., Cardoso, M. J., Bouvy, W., Biessels, G., Barnes, J., & Ourselin, S. (2015). Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation. IEEE Transactions on Medical Imaging, (In Press) doi:10.1109/TMI.2015.2419072


Wells, J. A., O'Callaghan, J. M., Holmes, H. E., Powell, N. M., Johnson, R. A., Siow, B., Torrealdea, F., et al. (2015). In vivo imaging of tau pathology using multi-parametric quantitative MRI. NeuroImage, 111, 369–378. doi:10.1016/j.neuroimage.2015.02.023