Kernel methods for fMRI pattern prediction. - Yizhao Ni; Carlton Chu; Craig Saunders; John Ashburner (IJCNN, 2008)

Bayesian decoding of brain images. - Karl J. Friston; Carlton Chu; Janaina Mourão Miranda; Oliver J. Hulme; Geraint Rees 001; Will D. Penny; John Ashburner (NeuroImage, 2008)

Interpreting scan data acquired from multiple scanners: A study with Alzheimer's disease. - Cynthia M. Stonnington; Geoffrey C. Y. Tan; Stefan Klöppel; Carlton Chu; Bogdan Draganski; Clifford R. Jack Jr.; Kewei Chen 001; John Ashburner; Richard S. J. Frackowiak (NeuroImage, 2008)

Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes. - Andre F. Marquand; Matthew Howard 002; Michael John Brammer; Carlton Chu; Steven Coen; Janaina Mourão Miranda (NeuroImage, 2010)

Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. - Cynthia M. Stonnington; Carlton Chu; Stefan Klöppel; Clifford R. Jack Jr.; John Ashburner; Richard S. Frackowiak (NeuroImage, 2010)

Measuring the Consistency of Global Functional Connectivity Using Kernel Regression Methods. - Carlton Chu; Daniel A. Handwerker; Peter A. Bandettini; John Ashburner (PRNI, 2011)

Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods. - Carlton Chu; Janaina Mourão Miranda; Yu-Chin Chiu; Nikolaus Kriegeskorte; Geoffrey C. Y. Tan; John Ashburner (NeuroImage, 2011)

Kernel regression for fMRI pattern prediction. - Carlton Chu; Yizhao Ni; Geoffrey C. Y. Tan; Craig Saunders; John Ashburner (NeuroImage, 2011)

Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images. - Carlton Chu; Ai-Ling Hsu; Kun-Hsien Chou; Peter A. Bandettini; Ching-Po Lin (NeuroImage, 2012)

Effects of image contrast on functional MRI image registration. - Javier Gonzalez-Castillo; Kristen N. Duthie; Ziad S. Saad; Carlton Chu; Peter A. Bandettini; Wen-Ming Luh (NeuroImage, 2013)

PRoNTo: Pattern Recognition for Neuroimaging Toolbox. - Jessica Schrouff; Maria João Duarte Rosa; Jane M. Rondina; Andre F. Marquand; Carlton Chu; John Ashburner; Christophe Phillips; Jonas Richiardi; Janaina Mourão Miranda (Neuroinformatics, 2013)

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. - Carlton Chu; Jeffrey De Fauw; Nenad Tomasev; Bernardino Romera-Paredes; Cían Hughes; Joseph R. Ledsam; Trevor Back; Hugh Montgomery; Geraint Rees 001; Rosalind Raine; Kevin Sullivan; Syed Ali Moinuddin; et al. (F1000Research, 2016)

Automated analysis of retinal imaging using machine learning techniques for computer vision. - Jeffrey De Fauw; Pearse A. Keane; Nenad Tomasev; Daniel Visentin; George van den Driessche 002; Mike Johnson; Cían Hughes; Carlton Chu; Joseph R. Ledsam; Trevor Back; Tunde Peto; Geraint Rees 001; et al. (F1000Research, 2016)

Face-selective regions differ in their ability to classify facial expressions. - Hui Zhang; Shruti Japee; Rachel Nolan; Carlton Chu; Ning Liu; Leslie G. Ungerleider (NeuroImage, 2016)

The Neuro Bureau ADHD-200 Preprocessed repository. - Pierre Bellec; Carlton Chu; François Chouinard-Decorte; Yassine Benhajali; Daniel S. Margulies; R. Cameron Craddock (NeuroImage, 2017)

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. - Stanislav Nikolov; Sam Blackwell; Ruheena Mendes; Jeffrey De Fauw; Clemens Meyer; Cían Hughes; Harry Askham; Bernardino Romera-Paredes; Alan Karthikesalingam; Carlton Chu; Dawn Carnell; Cheng Boon; et al. (CoRR, 2018)

The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure. - Geoffrey C. Y. Tan; Carlton Chu; Yu Teng Lee; Clarence Chih King Tan; John Ashburner; Nicholas W. Wood; Richard S. J. Frackowiak (NeuroImage, 2020)