Roger C. Tam

55 papers A 2B 3C 1Journal 23Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2025 J jnl
Brain Age Estimation: A Multi-Region Approach Using Groupwise Registration and 3D Shape Contexts Derived From Displacement Vector Fields.
IEEE Access
Leandro Prado de Andrade, Marco Antonio Bernardi Grivol, Mario Augusto de Souza Lizier, Roger C. Tam, Ricardo José Ferrari
2025 B conf
Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware.
IEEE Big Data
Ashery Mbilinyi, Callum O'Riley, Julia Handra, Ashley Moller-Hansen, Jason G. Andrade, Marc Deyell, Cameron Hague, Nathaniel M. Hawkins, Kendall Ho, Jonathan Leipsic, Roger C. Tam
2025 J jnl
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord.
CoRR
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, Michael G. Fehlings, Patrick Freund, Tobias Granberg, Cristina Granziera, RHSCIR Network Imaging Group, Ulrike Horn, Tomás Horák, Suzanne Humphreys, Markus Hupp, Anne Kerbrat, Nawal Kinany, Shannon H. Kolind, Petr Kudlicka, Anna Lebret, Lisa Eunyoung Lee, Caterina Mainero, Allan R. Martin, Megan McGrath, Govind Nair, Kristin P. O'Grady, Jiwon Oh, Russell Ouellette, Nikolai Pfender, Dario Pfyffer, Pierre-François Pradat, Alexandre Prat, Emanuele Pravatà, Daniel S. Reich, Ilaria Ricchi, Naama Rotem-Kohavi, Simon Schading-Sassenhausen, Maryam Seif, Andrew C. Smith, Seth A. Smith, Grace Sweeney, Roger C. Tam, Anthony Traboulsee, Constantina Andrada Treaba, Charidimos Tsagkas, Zachary Vavasour, Dimitri Van De Ville, Kenneth Arnold Weber II, Sarath Chandar, Julien Cohen-Adad
2024 J jnl
FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification.
CoRR
Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2024 J jnl
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification.
CoRR
Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2024 — conf
Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification.
MICCAI (12)
Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2024 J jnl
LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment.
Pattern Recognit.
Huilin Yang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2024 J jnl
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading.
IEEE J. Biomed. Health Informatics
Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2023 — conf
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging.
MIDL
Yuanyuan Wei, Roger C. Tam, Xiaoying Tang
2023 J jnl
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging.
CoRR
Yuanyuan Wei, Roger C. Tam, Xiaoying Tang
2023 — conf
Whole-Heart Reconstruction with Explicit Topology Integrated Learning.
MICCAI (6)
Huilin Yang, Roger C. Tam, Xiaoying Tang
2022 J jnl
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading.
CoRR
Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang
2021 J jnl
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses.
Neurocomputing
Katia Maria Poloni, Italo Antonio Duarte de Oliveira, Roger C. Tam, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative
2021 J jnl
Detecting cells in intravital video microscopy using a deep convolutional neural network.
Comput. Biol. Medicine
Bruno César Gregório da Silva, Roger C. Tam, Ricardo José Ferrari
2021 J jnl
Painting by lesions: White matter hyperintensities disrupt functional networks and global cognition.
NeuroImage
Rachel A. Crockett, Chun Liang Hsu, Elizabeth Dao, Roger C. Tam, Janice J. Eng, Todd C. Handy, Teresa Liu-Ambrose
2020 J jnl
Myelin water imaging data analysis in less than one minute.
NeuroImage
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
2020 — conf
Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More.
MLMI@MICCAI
Lisa Y. W. Tang, Kendall Ho, Roger C. Tam, Nathaniel M. Hawkins, Michael Lim, Jason G. Andrade
2020 — conf
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.
ISBI
Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh
2019 J jnl
Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Luanne Metz, Shannon H. Kolind, Anthony Traboulsee, Roger C. Tam
2019 J jnl
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.
CoRR
Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh
2017 — conf
Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.
DLMIA/ML-CDS@MICCAI
Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, Roger C. Tam
2017 — conf
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis.
MICCAI (3)
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
2017 J jnl
Spinal cord grey matter segmentation challenge.
NeuroImage
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, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad
2016 — conf
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.
MICCAI (2)
Lisa Y. W. Tang, Tom Brosch, Xingtong Liu, Youngjin Yoo, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2016 J jnl
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Medical Imaging
Tom Brosch, Lisa Y. W. Tang, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2016 — conf
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
LABELS/DLMIA@MICCAI
Youngjin Yoo, Lisa Y. W. Tang, Tom Brosch, David K. B. Li, Luanne Metz, Anthony Traboulsee, Roger C. Tam
2016 — conf
Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure.
ISBI
Lisa Y. W. Tang, Roger C. Tam, Ghassan Hamarneh
2015 B conf
A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease.
ICIP
Saurabh Garg, Lisa Tang, Anthony Traboulsee, Roger C. Tam
2015 — conf
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues.
MICCAI (3)
Lisa Y. W. Tang, Ghassan Hamarneh, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2015 — conf
Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation.
MICCAI (3)
Tom Brosch, Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2015 J jnl
Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images.
Neural Comput.
Tom Brosch, Roger C. Tam
2014 — conf
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.
MLMI
Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger C. Tam
2014 — conf
Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning.
MICCAI (2)
Tom Brosch, Youngjin Yoo, David K. B. Li, Anthony Traboulsee, Roger C. Tam
2013 — conf
Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation.
MLMI
Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh
2013 — conf
Globally optimal spinal cord segmentation using a minimal path in high dimensions.
ISBI
Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh
2013 — conf
Manifold Learning of Brain MRIs by Deep Learning.
MICCAI (2)
Tom Brosch, Roger C. Tam
2013 — conf
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification.
MICCAI (1)
Youngjin Yoo, Roger C. Tam
2012 — conf
Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis.
MMBIA
Fahime Sheikhzadeh, Roger C. Tam, Ghassan Hamarneh
2011 — conf
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths.
HISB
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Roger C. Tam
2010 J jnl
A Novel Rotationally Invariant Region-Based Hidden Markov Model for Efficient 3-D Image Segmentation.
IEEE Trans. Image Process.
Albert Huang, Rafeef Abugharbieh, Roger C. Tam
2010 — conf
Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation.
MICCAI (3)
Neda Changizi, Ghassan Hamarneh, Omer Ishaq, Aaron D. Ward, Roger C. Tam
2010 J jnl
Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Biomed. Eng.
Jon McAusland, Roger C. Tam, Erick Wong, Andrew Riddehough, David K. B. Li
2009 — conf
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI.
MICCAI (1)
Albert Huang, Rafeef Abugharbieh, Roger C. Tam
2009 J jnl
A Hybrid Geometric-Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI.
IEEE Trans. Biomed. Eng.
Albert Huang, Rafeef Abugharbieh, Roger C. Tam
2009 J jnl
Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment.
Medical Image Anal.
Roger C. Tam, Andrew Riddehough, David K. B. Li
2008 — conf
Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model.
CVPR Workshops
Albert Huang, Rafeef Abugharbieh, Roger C. Tam
2006 — conf
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model.
ISBI
Albert Huang, Rafeef Abugharbieh, Roger C. Tam, Anthony Traboulsee
2006 B conf
Brain extraction using geodesic active contours.
Image Processing
Albert Huang, Rafeef Abugharbieh, Roger C. Tam, Anthony Traboulsee
2004 C conf
Computing Polygonal Surfaces from Unions of Balls.
Computer Graphics International
Roger C. Tam, Wolfgang Heidrich
2003 A conf
Shape Simplification Based on the Medial Axis Transform.
IEEE Visualization
Roger C. Tam, Wolfgang Heidrich
2002 — conf
Feature-Preserving Medial Axis Noise Removal.
ECCV (2)
Roger C. Tam, Wolfgang Heidrich
2001 — conf
Shape Model and Threshold Extraction via Shape Gradients.
VMV
Roger C. Tam, Alain Fournier
1998 J jnl
Image interpolation using unions of spheres.
Vis. Comput.
Roger C. Tam, Alain Fournier
1997 A conf
Volume rendering of abdominal aortic aneurysms.
IEEE Visualization
Roger C. Tam, Christopher G. Healey, Borys Flak, Peter Cahoon