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Medical Image Analysis|February 10, 2009
Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignmentRoger C Tam, Andrew Riddehough, David K B Li
Neuroimage. Clinical|November 2, 2013
Improving the clinical correlation of multiple sclerosis black hole volume change by paired-scan analysisRoger C Tam, Anthony Traboulsee, Andrew Riddehough, et al.
PLOS Digital Health|May 18, 2026
Explainable machine learning for predicting longitudinal dementia status: Establishing a leakage-free benchmarkMohammad Mahdi Ghiasi, Ryan Stanley Falck, Teresa Liu-Ambrose, et al.
IEEE Transactions on Bio-Medical Engineering|July 6, 2010
Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentationJon McAusland, Roger C Tam, Erick Wong, et al.
International Journal of Medical Informatics|April 22, 2026
Integrating actigraphy with demographic data enhances cognitive performance prediction: a multimodal UK biobank analysis using machine learningMohammad Mahdi Ghiasi, Ryan Stanley Falck, Teresa Liu-Ambrose, et al.
Scientific Reports|July 26, 2024
Physical reserve and its underpinning functional neural networks moderate the relationship between white matter hyperintensity and postural balance in older adults with subcortical ischemic vascular cognitive impairmentChun Liang Hsu, Roee Holtzer, Roger C Tam, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Public HealthRyan S Falck, Ryan G Stein, Rachel A Crockett, et al.
The Lancet. Digital Health|December 17, 2020
Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CTLisa Y W Tang, Harvey O Coxson, Stephen Lam, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 1, 2014
Fast computation of myelin maps from MRI T₂ relaxation data using multicore CPU and graphics card parallelizationYoungjin Yoo, Thomas Prasloski, Irene Vavasour, et al.
Frontiers in Neurology|June 12, 2023
Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosisMaryam Tayyab, Luanne M Metz, David K B Li, et al.
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