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 | 170 | 2021 |
The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure GCY Tan, C Chu, YT Lee, CCK Tan, J Ashburner, NW Wood, ... NeuroImage 221, 117087, 2020 | 14 | 2020 |
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 | 341 | 2018 |
learning techniques for computer vision [version 2; referees: 2 J De Fauw, P Keane, N Tomasev, D Visentin, G van den Driessche, ... | | 2017 |
The neuro bureau ADHD-200 preprocessed repository P Bellec, C Chu, F Chouinard-Decorte, Y Benhajali, DS Margulies, ... Neuroimage 144, 275-286, 2017 | 283 | 2017 |
planning CT and MRI scans [version 1; peer review: 1 approved C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ... | | 2016 |
planning CT and MRI scans [version 1; referees: 1 approved with C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ... | | 2016 |
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ... F1000Research 5, 2104, 2016 | 28 | 2016 |
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 | 68 | 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 | 62 | 2016 |
Spatial selectivity in the temporoparietal junction, inferior frontal sulcus, and inferior parietal lobule KA Hansen, C Chu, A Dickinson, B Pye, JP Weller, LG Ungerleider Journal of Vision 15 (13), 15-15, 2015 | 10 | 2015 |
Investigating the use of support vector machine classification on structural brain images of preterm–born teenagers as a biological marker C Chu, H Lagercrantz, H Forssberg, Z Nagy Plos one 10 (4), e0123108, 2015 | 2 | 2015 |
Quantitative magnetic resonance imaging evidence for altered structural remodeling of the temporal lobe in W est syndrome T Fosi, C Chu, WK Chong, C Clark, RC Scott, S Boyd, M De Haan, ... Epilepsia 56 (4), 608-616, 2015 | 12 | 2015 |
PO-0427 Investigating The Use Of Support Vector Machine Classification On Structural Brain Images Of Preterm–born Teenagers As A Biological Marker Z Nagy, H Lagercrantz, H Forssberg, C Chu Archives of Disease in Childhood 99 (Suppl 2), A385-A385, 2014 | | 2014 |
PRoNTo: pattern recognition for neuroimaging toolbox J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ... Neuroinformatics 11, 319-337, 2013 | 469 | 2013 |
Foraging under competition: the neural basis of input-matching in humans D Mobbs, D Hassabis, R Yu, C Chu, M Rushworth, E Boorman, ... Journal of Neuroscience 33 (23), 9866-9872, 2013 | 56 | 2013 |
Effects of image contrast on functional MRI image registration J Gonzalez-Castillo, KN Duthie, ZS Saad, C Chu, PA Bandettini, WM Luh NeuroImage 67, 163-174, 2013 | 21 | 2013 |
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 | 457 | 2013 |
Multivariate pattern interpretation using PRoNTo J Schrouff, M Rosa, J Rondina, A Marquand, C Chu, J Ashburner, ... Organization of Human Brain Mapping, 2013 | | 2013 |
The PRoNTo development group J Ashburner, C Chu, A Marquand, J Mourao-Miranda, JM Monteiro, ... | 1 | 2012 |