Reproducibility and reliability of MR measurements in white matter: Clinical implications. - Irene M. Vavasour; Campbell M. Clark; David K. B. Li; Alex L. MacKay (NeuroImage, 2006)

Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesions. - Shannon H. Kolind; Cornelia Laule; Irene M. Vavasour; David K. B. Li; Anthony Traboulsee; Burkhard Mädler; G. R. Wayne Moore; Alex L. MacKay (NeuroImage, 2008)

Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology. - Cornelia Laule; Piotr Kozlowski; Esther Leung; David K. B. Li; Alex L. MacKay; G. R. Wayne Moore (NeuroImage, 2008)

Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment. - Roger C. Tam; Andrew Riddehough; David K. B. Li (Medical Image Anal., 2009)

Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation. - Jon McAusland; Roger C. Tam; Erick Wong; Andrew Riddehough; David K. B. Li (IEEE Trans. Biomed. Eng., 2010)

Myelin water and T2 relaxation measurements in the healthy cervical spinal cord at 3.0T: Repeatability and changes with age. - Erin L. MacMillan; Burkhard Mädler; Nicole Fichtner; Marcel F. Dvorak; David K. B. Li; Armin Curt; Alex L. MacKay (NeuroImage, 2011)

Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning. - Tom Brosch; Youngjin Yoo; David K. B. Li; Anthony Traboulsee; Roger C. Tam (MICCAI (2), 2014)

Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation. - Youngjin Yoo; Tom Brosch; Anthony Traboulsee; David K. B. Li; Roger C. Tam (MLMI, 2014)

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation. - Tom Brosch; Youngjin Yoo; Lisa Y. W. Tang; David K. B. Li; Anthony Traboulsee; Roger C. Tam (MICCAI (3), 2015)

Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues. - Lisa Y. W. Tang; Ghassan Hamarneh; Anthony Traboulsee; David K. B. Li; Roger C. Tam (MICCAI (3), 2015)

Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction. - Lisa Y. W. Tang; Tom Brosch; Xingtong Liu; Youngjin Yoo; Anthony Traboulsee; David K. B. Li; Roger C. Tam (MICCAI (2), 2016)

Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis. - Youngjin Yoo; Lisa Y. W. Tang; Tom Brosch; David K. B. Li; Luanne Metz; Anthony Traboulsee; Roger C. Tam (LABELS/DLMIA@MICCAI, 2016)

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation. - Tom Brosch; Lisa Y. W. Tang; Youngjin Yoo; David K. B. Li; Anthony Traboulsee; Roger C. Tam (IEEE Trans. Medical Imaging, 2016)

Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis. - Youngjin Yoo; Lisa Y. W. Tang; Su-Hyun Kim; Ho Jin Kim; Lisa Eunyoung Lee; David K. B. Li; Shannon H. Kolind; Anthony Traboulsee; Roger C. Tam (MICCAI (3), 2017)

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome. - Youngjin Yoo; Lisa Y. W. Tang; David K. B. Li; Luanne Metz; Shannon H. Kolind; Anthony Traboulsee; Roger C. Tam (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Myelin water imaging data analysis in less than one minute. - Hanwen Liu; Qing-San Xiang; Roger C. Tam; Adam V. Dvorak; Alex L. MacKay; Shannon H. Kolind; Anthony Traboulsee; Irene M. Vavasour; David K. B. Li; John K. Kramer; Cornelia Laule (NeuroImage, 2020)