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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 TamMedical 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|December 9, 2014
Modeling the variability in brain morphology and lesion distribution in multiple sclerosis by deep learningTom Brosch, Youngjin Yoo, David K B Li, et al.IEEE Transactions on Medical Imaging|February 18, 2016
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion SegmentationTom Brosch, Lisa Y W Tang, Youngjin Yoo, et al.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 TamShape in Medical Imaging : International Workshop, Shapemi 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : Proceedings. Shapemi (Workshop) (2018 : Granada, Spain)|May 17, 2019
Organ-At-Risk Segmentation in Brain MRI using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary DetectorsEliza Orasanu, Tom Brosch, Carri Glide-Hurst, et al.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.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 TamMedical 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 TamIEEE 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.Pageof 9