Automatic classification of MR scans in Alzheimer's disease S Klöppel, CM Stonnington, C Chu, B Draganski, RI Scahill, JD Rohrer, ... Brain 131 (3), 681-689, 2008 | 1470 | 2008 |
The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives C Craddock, Y Benhajali, C Chu, F Chouinard, A Evans, A Jakab, ... Frontiers in Neuroinformatics 7 (27), 5, 2013 | 499 | 2013 |
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11, 319-337, 2013 | 484 | 2013 |
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images C Chu, AL Hsu, KH Chou, P Bandettini, CP Lin, ... Neuroimage 60 (1), 59-70, 2012 | 403 | 2012 |
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... arXiv preprint arXiv:1809.04430, 2018 | 361 | 2018 |
The neuro bureau ADHD-200 preprocessed repository P Bellec, C Chu, F Chouinard-Decorte, Y Benhajali, DS Margulies, ... Neuroimage 144, 275-286, 2017 | 318 | 2017 |
Predicting clinical scores from magnetic resonance scans in Alzheimer's disease CM Stonnington, C Chu, S Klöppel, CR Jack Jr, J Ashburner, ... Neuroimage 51 (4), 1405-1413, 2010 | 309 | 2010 |
Decoding neuronal ensembles in the human hippocampus D Hassabis, C Chu, G Rees, N Weiskopf, PD Molyneux, EA Maguire Current Biology 19 (7), 546-554, 2009 | 293 | 2009 |
Prognostic and diagnostic potential of the structural neuroanatomy of depression SG Costafreda, C Chu, J Ashburner, CHY Fu PloS one 4 (7), e6353, 2009 | 282 | 2009 |
Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes A Marquand, M Howard, M Brammer, C Chu, S Coen, J Mourão-Miranda Neuroimage 49 (3), 2178-2189, 2010 | 270 | 2010 |
Interpreting scan data acquired from multiple scanners: a study with Alzheimer's disease CM Stonnington, G Tan, S Klöppel, C Chu, B Draganski, CR Jack Jr, ... Neuroimage 39 (3), 1180-1185, 2008 | 253 | 2008 |
Bayesian decoding of brain images K Friston, C Chu, J Mourão-Miranda, O Hulme, G Rees, W Penny, ... Neuroimage 39 (1), 181-205, 2008 | 232 | 2008 |
Accuracy of dementia diagnosis—a direct comparison between radiologists and a computerized method S Klöppel, CM Stonnington, J Barnes, F Chen, C Chu, CD Good, I Mader, ... Brain 131 (11), 2969-2974, 2008 | 228 | 2008 |
Clinically applicable segmentation of head and neck anatomy for radiotherapy: deep learning algorithm development and validation study S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... Journal of medical Internet research 23 (7), e26151, 2021 | 209 | 2021 |
White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease S Klöppel, B Draganski, CV Golding, C Chu, Z Nagy, PA Cook, SL Hicks, ... Brain 131 (1), 196-204, 2008 | 199 | 2008 |
Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease S Kloppel, C Chu, GC Tan, B Draganski, H Johnson, JS Paulsen, ... Neurology 72 (5), 426-431, 2009 | 124 | 2009 |
Kernel regression for fMRI pattern prediction C Chu, Y Ni, G Tan, CJ Saunders, J Ashburner NeuroImage 56 (2), 662-673, 2011 | 98 | 2011 |
Face-selective regions differ in their ability to classify facial expressions H Zhang, S Japee, R Nolan, C Chu, N Liu, LG Ungerleider Neuroimage 130, 77-90, 2016 | 69 | 2016 |
Automated analysis of retinal imaging using machine learning techniques for computer vision J De Fauw, P Keane, N Tomasev, D Visentin, G van den Driessche, ... F1000Research 5, 2016 | 63 | 2016 |
Decreased premotor cortex volume in victims of urban violence with posttraumatic stress disorder V Rocha-Rego, MG Pereira, L Oliveira, MV Mendlowicz, A Fiszman, ... Public Library of Science 7 (8), e42560, 2012 | 59 | 2012 |