Roger C. Tam

发表

Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation

Ghassan Hamarneh, Neda Changizi, Omer Ishaq, 2010, MICCAI.

Automatic MRI brain tissue segmentation using a hybrid statistical and geometric model

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Myelin water imaging data analysis in less than one minute

Roger C. Tam, Anthony Traboulsee, Hanwen Liu, 2020, NeuroImage.

Shape simplification based on the medial axis transform

Wolfgang Heidrich, Roger C. Tam, W. Heidrich, 2003, IEEE Visualization, 2003. VIS 2003..

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Lisa Tang, Youngjin Yoo, Roger C. Tam, 2016, IEEE Transactions on Medical Imaging.

Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More

Roger C. Tam, Lisa Tang, Kendall Ho, 2020, MLMI@MICCAI.

Detection and measurement of coverage loss in interleaved multi-acquisition brain MRIs due to motion-induced inter-slice misalignment

Roger C. Tam, David K. B. Li, Andrew Riddehough, 2009, Medical Image Anal..

Non-Local Spatial Regularization of MRI T2 Relaxation Images for Myelin Water Quantification

Youngjin Yoo, Roger C. Tam, Y. Yoo, 2013, MICCAI.

A Novel Rotationally Invariant Region-Based Hidden Markov Model for Efficient 3-D Image Segmentation

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2010, IEEE Transactions on Image Processing.

Enhancing accuracy of symmetric random walker image registration via a novel data-consistency measure

Lisa Tang, Ghassan Hamarneh, Roger C. Tam, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation

Ghassan Hamarneh, Roger C. Tam, Jeremy Kawahara, 2013, MLMI.

Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning

Youngjin Yoo, Roger C. Tam, Tom Brosch, 2014, MICCAI.

Volume rendering of abdominal aortic aneurysms

Roger C. Tam, Peter Cahoon, Christopher G. Healey, 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).

Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Brain extraction using geodesic active contours

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2006, SPIE Medical Imaging.

Image interpolation using unions of spheres

Roger C. Tam, Alain Fournier, A. Fournier, 1998, The Visual Computer.

A Fuzzy Region-Based Hidden Markov Model for Partial-Volume Classification in Brain MRI

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2009, MICCAI.

A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease

Lisa Tang, Roger C. Tam, Anthony Traboulsee, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Globally optimal spinal cord segmentation using a minimal path in high dimensions

Ghassan Hamarneh, Roger C. Tam, Jeremy Kawahara, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation

Lisa Tang, Youngjin Yoo, Roger C. Tam, 2015, MICCAI.

Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis

Ghassan Hamarneh, Fahime Sheikhzadeh, Roger C. Tam, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Spinal cord grey matter segmentation challenge

Julien Cohen-Adad, Salvatore Saporito, Sébastien Ourselin, 2017, NeuroImage.

Shape Model and Threshold Extraction via Shape Gradients

Roger C. Tam, Alain Fournier, 2001, VMV.

Manifold Learning of Brain MRIs by Deep Learning

Roger C. Tam, Tom Brosch, T. Brosch, 2013, MICCAI.

A Hybrid Geometric–Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI

Roger C. Tam, Rafeef Abugharbieh, Albert Huang, 2009, IEEE Transactions on Biomedical Engineering.

Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction

Lisa Tang, Xingtong Liu, Youngjin Yoo, 2016, MICCAI.

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections

Julien Cohen-Adad, Lisa Tang, Youngjin Yoo, 2017, DLMIA/ML-CDS@MICCAI.

Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation

Youngjin Yoo, Roger C. Tam, Tom Brosch, 2014, MLMI.

Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis

Lisa Tang, Youngjin Yoo, Roger C. Tam, 2016, LABELS/DLMIA@MICCAI.

Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images

Roger C. Tam, Tom Brosch, 2015, Neural Computation.

Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths

Ghassan Hamarneh, Roger C. Tam, Chris McIntosh, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues

Lisa Tang, Ghassan Hamarneh, Roger C. Tam, 2015, MICCAI.

Feature-Preserving Medial Axis Noise Removal

Wolfgang Heidrich, Roger C. Tam, 2002, ECCV.

Optimizing the Use of Radiologist Seed Points for Improved Multiple Sclerosis Lesion Segmentation

Roger C. Tam, Erick Wong, David K. B. Li, 2010, IEEE Transactions on Biomedical Engineering.

Computing polygonal surfaces from unions of balls

Wolfgang Heidrich, Roger C. Tam, W. Heidrich, 2004, Proceedings Computer Graphics International, 2004..

Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls

Roger C. Tam, Tom Brosch, Anthony Traboulsee, 2017, NeuroImage: Clinical.