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Carlton CHU
Carlton CHU
Researcher/Engineer at Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Year
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
1702021
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
142020
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
3412018
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
2832017
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
282016
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
682016
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
622016
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
102015
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
22015
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
122015
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
4692013
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
562013
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
212013
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
4572013
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, ...
12012
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Articles 1–20