Roger C. Tam
Orcid: 0000-0002-4593-2587Affiliations:
- University of British Columbia, BC, Canada
According to our database1,
Roger C. Tam
authored at least 45 papers
between 1997 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on blogs.ubc.ca
On csauthors.net:
Bibliography
2024
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification.
CoRR, 2024
2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging.
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading.
CoRR, 2022
2021
Painting by lesions: White matter hyperintensities disrupt functional networks and global cognition.
NeuroImage, 2021
Brain MR image classification for Alzheimer's disease diagnosis using structural hippocampal asymmetrical attributes from directional 3-D log-Gabor filter responses.
Neurocomputing, 2021
Detecting cells in intravital video microscopy using a deep convolutional neural network.
Comput. Biol. Medicine, 2021
2020
Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
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., 2019
2017
Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
2016
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Medical Imaging, 2016
Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images.
Neural Comput., 2015
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
2011
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011
2010
A Novel Rotationally Invariant Region-Based Hidden Markov Model for Efficient 3-D Image Segmentation.
IEEE Trans. Image Process., 2010
Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation.
IEEE Trans. Biomed. Eng., 2010
Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
A Hybrid Geometric-Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI.
IEEE Trans. Biomed. Eng., 2009
Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment.
Medical Image Anal., 2009
A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2006
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2004
Proceedings of the 2004 Computer Graphics International (CGI 2004), 16-19 June 2004, 2004
2003
Proceedings of the 14th IEEE Visualization Conference, 2003
2002
Proceedings of the Computer Vision, 2002
2001
Proceedings of the 6th International Fall Workshop on Vision, Modeling, and Visualization, 2001
1998
1997
Proceedings of the 8th IEEE Visualization Conference, 1997