Carlton Chu

Stanford University — United States

Neuroscience · Life Sciences

23h-index5.7kcitations49works1.02yr avg
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Research Topics

Functional Brain Connectivity Studies(16), Neural dynamics and brain function(9), Dementia and Cognitive Impairment Research(5), Advanced Neuroimaging Techniques and Applications(5), EEG and Brain-Computer Interfaces(4)

Publications49 total

NEURAL SHAPE MODEL QUANTIFIES EARLY AND PROGRESSIVE BONE SHAPE CHANGES AFTER ACLR
Osteoarthritis Imaging·2025· 1 citedOpen Access
AN IMPROVED IMAGE REGISTRATION ALGORITHM FOR THERMAL INFRARED AND PANCHROMATIC IMAGE BASED ON GEOMETRIC STRUCTURAL PROPERTIES
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences·2023Open Access
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
Journal of Medical Internet Research·2021· 316 citedOpen Access
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study (Preprint)
2020· 1 citedOpen Access
The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure
NeuroImage·2020· 15 citedOpen Access
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy
arXiv (Cornell University)·2018· 248 citedOpen Access
Automated analysis of retinal imaging using machine learning techniques for computer vision
F1000Research·2017· 17 citedOpen Access
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
F1000Research·2016· 19 citedOpen Access
The Neuro Bureau ADHD-200 Preprocessed repository
NeuroImage·2016· 340 cited
Adhd200 Preprocessed Regional Time Series Processed With Niak And The Roi1000 Brain Parcellation
Zenodo (CERN European Organization for Nuclear Research)·2016Open Access
Automated analysis of retinal imaging using machine learning techniques for computer vision
F1000Research·2016· 47 citedOpen Access
Face-selective regions differ in their ability to classify facial expressions
NeuroImage·2016· 74 citedOpen Access
The Neuro Bureau ADHD-200 Preprocessed Repository
2016· 13 citedOpen Access
Spatial selectivity in the temporoparietal junction, inferior frontal sulcus, and inferior parietal lobule
Journal of Vision·2015· 9 citedOpen Access
Investigating the Use of Support Vector Machine Classification on Structural Brain Images of Preterm–Born Teenagers as a Biological Marker
PLoS ONE·2015· 3 citedOpen Access
Quantitative magnetic resonance imaging evidence for altered structural remodeling of the temporal lobe in <scp>W</scp>est syndrome
Epilepsia·2015· 13 citedOpen Access
PO-0427 Investigating The Use Of Support Vector Machine Classification On Structural Brain Images Of Preterm–born Teenagers As A Biological Marker
Archives of Disease in Childhood·2014
Foraging under Competition: The Neural Basis of Input-Matching in Humans
Journal of Neuroscience·2013· 51 citedOpen Access
Multivariate pattern interpretation using PRoNTo
Open Repository and Bibliography (University of Liège)·2013Open Access
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
Neuroinformatics·2013· 452 citedOpen Access
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Frequent Co-authors

John Ashburner(20), R. S. J. Frackowiak(11), Stefan Klöppel(10), Bogdan Draganski(8), Geraint Rees(8), Cynthia M. Stonnington(7), Clifford R. Jack(6), Janaı́na Mourão-Miranda(6), Jeffrey De Fauw(6), Hugh Montgomery(6), Trevor Back(6), Cían Hughes(6), Joseph R. Ledsam(6), Olaf Ronneberger(6), Nick C. Fox(5), André F. Marquand(5), Geoffrey Chern-Yee Tan(5), Rachael I. Scahill(4), Jonathan D. Rohrer(4), Pierre Bellec(4)