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Roger Tam

Showing results (1-10 of 83) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Manifold learning of brain MRIs by deep learningTom Brosch, Roger Tam,
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Non-local spatial regularization of MRI T2 relaxation images for myelin water quantificationYoungjin Yoo, Roger Tam
Neural Computation|November 8, 2014
Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D imagesTom Brosch, Roger Tam
IEEE Transactions on Bio-Medical Engineering|April 2, 2009
A hybrid geometric-statistical deformable model for automated 3-D segmentation in brain MRIAlbert Huang, Rafeef Abugharbieh, Roger Tam, et al.
The Canadian Journal of Cardiology|January 1, 2024
Artificial Intelligence in Cardiology Research: How to UpskillSimon Christie, Roger Tam, Zachary Laksman
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 29, 2010
A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentationAlbert Huang, Rafeef Abugharbieh, Roger Tam
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A fuzzy region-based hidden markov model for partial-volume classification in brain MRIAlbert Huang, Rafeef Abugharbieh, Roger Tam
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2025
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationYijin Huang, Pujin Cheng, Roger Tam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Longitudinal, regional and deformation-specific corpus callosum shape analysis for multiple sclerosisOmer Ishaq, Ghassan Hamarneh, Roger Tam, et al.
IEEE Journal of Biomedical and Health Informatics|February 6, 2024
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy GradingYijin Huang, Junyan Lyu, Pujin Cheng, et al.
Pageof 9

Showing results (1-10 of 83) with videos related to

Sort By:
Pageof 9
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Manifold learning of brain MRIs by deep learningTom Brosch, Roger Tam,
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Non-local spatial regularization of MRI T2 relaxation images for myelin water quantificationYoungjin Yoo, Roger Tam
Neural Computation|November 8, 2014
Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D imagesTom Brosch, Roger Tam
IEEE Transactions on Bio-Medical Engineering|April 2, 2009
A hybrid geometric-statistical deformable model for automated 3-D segmentation in brain MRIAlbert Huang, Rafeef Abugharbieh, Roger Tam, et al.
The Canadian Journal of Cardiology|January 1, 2024
Artificial Intelligence in Cardiology Research: How to UpskillSimon Christie, Roger Tam, Zachary Laksman
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 29, 2010
A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentationAlbert Huang, Rafeef Abugharbieh, Roger Tam
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A fuzzy region-based hidden markov model for partial-volume classification in brain MRIAlbert Huang, Rafeef Abugharbieh, Roger Tam
IEEE Transactions on Neural Networks and Learning Systems|May 23, 2025
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationYijin Huang, Pujin Cheng, Roger Tam, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Longitudinal, regional and deformation-specific corpus callosum shape analysis for multiple sclerosisOmer Ishaq, Ghassan Hamarneh, Roger Tam, et al.
IEEE Journal of Biomedical and Health Informatics|February 6, 2024
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy GradingYijin Huang, Junyan Lyu, Pujin Cheng, et al.
Pageof 9