Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam; Anthony Traboulsee (ISBI, 2006)

Brain extraction using geodesic active contours. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam; Anthony Traboulsee (Image Processing, 2006)

Invariant 3D spharm features for characterizing fMRI activations in ROIs while minimizing effects of intersubject anatomical variability. - Ashish Uthama; Rafeef Abugharbieh; Samantha J. Palmer; Anthony Traboulsee; Martin J. McKeown (ISBI, 2008)

SPHARM-Based Spatial fMRI Characterization With Intersubject Anatomical Variability Reduction. - Ashish Uthama; Rafeef Abugharbieh; Samantha J. Palmer; Anthony Traboulsee; Martin J. McKeown (IEEE J. Sel. Top. Signal Process., 2008)

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)

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)

A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease. - Saurabh Garg 004; Lisa Tang; Anthony Traboulsee; Roger C. Tam (ICIP, 2015)

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)

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections. - Adam Porisky; Tom Brosch; Emil Ljungberg; Lisa Y. W. Tang; Youngjin Yoo; Benjamin De Leener; Anthony Traboulsee; Julien Cohen-Adad; Roger C. Tam (DLMIA/ML-CDS@MICCAI, 2017)

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)

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord. - Enamundram Naga Karthik; Sandrine Bédard; Jan Valosek; Christoph S. Aigner; Elise Bannier; Josef Bednarík; Virginie Callot; Anna J. E. Combes; Armin Curt; Gergely Dávid; Falk Eippert; Lynn Farner; et al. (CoRR, 2025)