Matthew Robert Graham Brown
Matthew Robert Graham Brown
Adjunct Professor, Computing Science, University of Alberta
Verified email at - Homepage
Cited by
Cited by
Neural processes associated with antisaccade task performance investigated with event-related FMRI
KA Ford, HC Goltz, MRG Brown, S Everling
Journal of neurophysiology 94 (1), 429-440, 2005
Inhibition and generation of saccades: rapid event-related fMRI of prosaccades, antisaccades, and nogo trials
MRG Brown, HC Goltz, T Vilis, KA Ford, S Everling
Neuroimage 33 (2), 644-659, 2006
Frontoparietal activation with preparation for antisaccades
MRG Brown, T Vilis, S Everling
Journal of Neurophysiology 98 (3), 1751-1762, 2007
Comparison of memory-and visually guided saccades using event-related fMRI
MRG Brown, JFX DeSouza, HC Goltz, K Ford, RS Menon, MA Goodale, ...
Journal of neurophysiology 91 (2), 873-889, 2004
ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
MRG Brown, GS Sidhu, R Greiner, N Asgarian, M Bastani, PH Silverstone, ...
Frontiers in systems neuroscience 6, 69, 2012
Segmenting brain tumors using pseudo–conditional random fields
CH Lee, S Wang, A Murtha, MRG Brown, R Greiner
International Conference on Medical Image Computing and Computer-Assisted …, 2008
Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
GS Sidhu, N Asgarian, R Greiner, MRG Brown
Frontiers in systems neuroscience 6, 74, 2012
A general prediction model for the detection of ADHD and Autism using structural and functional MRI
B Sen, NC Borle, R Greiner, MRG Brown
PloS one 13 (4), e0194856, 2018
Using functional or structural magnetic resonance images and personal characteristic data to identify ADHD and autism
S Ghiassian, R Greiner, P Jin, MRG Brown
PloS one 11 (12), e0166934, 2016
Effects of emotional context on impulse control
MRG Brown, RM Lebel, F Dolcos, AH Wilman, PH Silverstone, ...
Neuroimage 63 (1), 434-446, 2012
Locating brain tumors from MR imagery using symmetry
N Ray, BN Saha, MRG Brown
2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007
Isolation of saccade inhibition processes: rapid event-related fMRI of saccades and nogo trials
MRG Brown, T Vilis, S Everling
Neuroimage 39 (2), 793-804, 2008
Accuracy of automated classification of major depressive disorder as a function of symptom severity
R Ramasubbu, MRG Brown, F Cortese, I Gaxiola, B Goodyear, ...
NeuroImage: Clinical 12, 320-331, 2016
Zonal organization of the vestibulocerebellum in pigeons (Columba livia): II. Projections of the rotation zones of the flocculus
DRW Wylie, MR Brown, RR Barkley, IR Winship, NA Crowder, KG Todd
Journal of Comparative Neurology 456 (2), 140-153, 2003
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
M Gheiratmand, I Rish, GA Cecchi, MRG Brown, R Greiner, PI Polosecki, ...
NPJ schizophrenia 3 (1), 22, 2017
Brain activation induced by voluntary alcohol and saccharin drinking in rats assessed with manganese‐enhanced magnetic resonance imaging
M Dudek, U Abo‐Ramadan, D Hermann, M Brown, S Canals, ...
Addiction biology 20 (6), 1012-1021, 2015
Zonal organization of the vestibulocerebellum in pigeons (Columba livia): III. Projections of the translation zones of the ventral uvula and nodulus
DRW Wylie, MR Brown, IR Winship, NA Crowder, KG Todd
Journal of Comparative Neurology 465 (2), 179-194, 2003
Neural correlates of high-risk behavior tendencies and impulsivity in an emotional Go/NoGo fMRI task
MRG Brown, JRA Benoit, M Juhás, RM Lebel, M MacKay, E Dametto, ...
Frontiers in systems neuroscience 9, 24, 2015
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning
SV Kalmady, R Greiner, R Agrawal, V Shivakumar, JC Narayanaswamy, ...
NPJ schizophrenia 5 (1), 2, 2019
Learning to classify psychiatric disorders based on fMR images: Autism vs healthy and ADHD vs healthy
S Ghiassian, R Greiner, P Jin, M Brown
Proceedings of 3rd NIPS Workshop on Machine Learning and Interpretation in …, 2013
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