Volume rendering of abdominal aortic aneurysms. - Roger C. Tam; Christopher G. Healey; Borys Flak; Peter Cahoon (IEEE Visualization, 1997)

Image interpolation using unions of spheres. - Roger C. Tam; Alain Fournier (Vis. Comput., 1998)

Shape Model and Threshold Extraction via Shape Gradients. - Roger C. Tam; Alain Fournier (VMV, 2001)

Feature-Preserving Medial Axis Noise Removal. - Roger C. Tam; Wolfgang Heidrich (ECCV (2), 2002)

Shape Simplification Based on the Medial Axis Transform. - Roger C. Tam; Wolfgang Heidrich (IEEE Visualization, 2003)

Computing Polygonal Surfaces from Unions of Balls. - Roger C. Tam; Wolfgang Heidrich (Computer Graphics International, 2004)

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)

Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam (CVPR Workshops, 2008)

A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam (MICCAI (1), 2009)

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)

A Hybrid Geometric-Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam (IEEE Trans. Biomed. Eng., 2009)

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 (MICCAI (3), 2010)

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)

A Novel Rotationally Invariant Region-Based Hidden Markov Model for Efficient 3-D Image Segmentation. - Albert Huang; Rafeef Abugharbieh; Roger C. Tam (IEEE Trans. Image Process., 2010)

Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths. - Chris McIntosh; Ghassan Hamarneh; Matthew Toom; Roger C. Tam (HISB, 2011)

Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis. - Fahime Sheikhzadeh; Roger C. Tam; Ghassan Hamarneh (MMBIA, 2012)

Globally optimal spinal cord segmentation using a minimal path in high dimensions. - Jeremy Kawahara; Chris McIntosh; Roger C. Tam; Ghassan Hamarneh (ISBI, 2013)

Manifold Learning of Brain MRIs by Deep Learning. - Tom Brosch; Roger C. Tam (MICCAI (2), 2013)

Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. - Jeremy Kawahara; Chris McIntosh; Roger C. Tam; Ghassan Hamarneh (MLMI, 2013)

Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification. - Youngjin Yoo; Roger C. Tam (MICCAI (1), 2013)

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)

Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images. - Tom Brosch; Roger C. Tam (Neural Comput., 2015)

Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure. - Lisa Y. W. Tang; Roger C. Tam; Ghassan Hamarneh (ISBI, 2016)

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)

Spinal cord grey matter segmentation challenge. - Ferran Prados; John Ashburner; Claudia Blaiotta; Tom Brosch; Julio Carballido-Gamio; Manuel Jorge Cardoso; Benjamin N. Conrad; Esha Datta; Gergely Dávid; Benjamin De Leener; Sara M. Dupont; Patrick Freund; et al. (NeuroImage, 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)

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. - Shahab Aslani; Vittorio Murino; Michael Dayan; Roger C. Tam; Diego Sona; Ghassan Hamarneh (ISBI, 2020)

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 (MLMI@MICCAI, 2020)

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)

Detecting cells in intravital video microscopy using a deep convolutional neural network. - Bruno César Gregório da Silva; Roger C. Tam; Ricardo José Ferrari (Comput. Biol. Medicine, 2021)

Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses. - Katia Maria Poloni; Italo Antonio Duarte de Oliveira; Roger C. Tam; Ricardo José Ferrari; Alzheimer's Disease Neuroimaging Initiative (Neurocomputing, 2021)

Painting by lesions: White matter hyperintensities disrupt functional networks and global cognition. - Rachel A. Crockett; Chun Liang Hsu; Elizabeth Dao; Roger C. Tam; Janice J. Eng; Todd C. Handy; Teresa Liu-Ambrose (NeuroImage, 2021)

Whole-Heart Reconstruction with Explicit Topology Integrated Learning. - Huilin Yang; Roger C. Tam; Xiaoying Tang 001 (MICCAI (6), 2023)

MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. - Yuanyuan Wei 001; Roger C. Tam; Xiaoying Tang 001 (MIDL, 2023)

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 001 (MICCAI (12), 2024)

FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment. - Huilin Yang; Junyan Lyu; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (Pattern Recognit., 2024)

SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. - Yijin Huang; Junyan Lyu; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2024)

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)