| 2017 | MICCAI | 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 |
| 2016 | MICCAI | 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 |
| 2016 | MICCAI | 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 |
| 2015 | MICCAI | 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 |
| 2015 | MICCAI | 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 |
| 2014 | MICCAI | 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 |
| 2014 | MICCAI | 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 |