| 2024 | MICCAI | Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. | Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang |
| 2023 | MICCAI | Whole-Heart Reconstruction with Explicit Topology Integrated Learning. | Huilin Yang, Roger C. Tam, Xiaoying Tang |
| 2020 | MICCAI | Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More. | Lisa Y. W. Tang, Kendall Ho, Roger C. Tam, Nathaniel M. Hawkins, Michael Lim, Jason G. Andrade |
| 2017 | MICCAI | 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 |
| 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 | ICIP | A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease. | Saurabh Garg, Lisa Tang, 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 |
| 2013 | MICCAI | Manifold Learning of Brain MRIs by Deep Learning. | Tom Brosch, Roger C. Tam |
| 2013 | MICCAI | Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. | Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh |
| 2013 | MICCAI | Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification. | Youngjin Yoo, Roger C. Tam |
| 2010 | MICCAI | Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation. | Neda Changizi, Ghassan Hamarneh, Omer Ishaq, Aaron D. Ward, Roger C. Tam |
| 2009 | MICCAI | A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI. | Albert Huang, Rafeef Abugharbieh, Roger C. Tam |
| 2008 | CVPR | Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model. | Albert Huang, Rafeef Abugharbieh, Roger C. Tam |
| 2004 | CGI | Computing Polygonal Surfaces from Unions of Balls. | Roger C. Tam, Wolfgang Heidrich |
| 2002 | ECCV | Feature-Preserving Medial Axis Noise Removal. | Roger C. Tam, Wolfgang Heidrich |