Carlton CHU
Carlton CHU
Researcher/Engineer at Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
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
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11 (3), 319-337, 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
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
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
Prognostic and diagnostic potential of the structural neuroanatomy of depression
SG Costafreda, C Chu, J Ashburner, CHY Fu
PloS one 4 (7), e6353, 2009
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
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
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, 2013
Bayesian decoding of brain images
K Friston, C Chu, J Mourão-Miranda, O Hulme, G Rees, W Penny, ...
Neuroimage 39 (1), 181-205, 2008
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
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
The neuro bureau ADHD-200 preprocessed repository
P Bellec, C Chu, F Chouinard-Decorte, Y Benhajali, DS Margulies, ...
Neuroimage 144, 275-286, 2017
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
Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease
S Klöppel, C Chu, GC Tan, B Draganski, H Johnson, JS Paulsen, ...
Neurology 72 (5), 426-431, 2009
Kernel regression for fMRI pattern prediction
C Chu, Y Ni, G Tan, CJ Saunders, J Ashburner
NeuroImage 56 (2), 662-673, 2011
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20