( en | de | ru )

 

Disambiguation of "Tam, Roger C."

Author of the publication

copydeleteadd this publication to your clipboard
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI.

, , , , , and . ISBI, page 781-785. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Josaphat C Tam

Tam Nguyen

Lê Tâm

Tâm Huynh

Jason Tam

 

Other publications of authors with the same name

FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification., , , and . CoRR, (2024)Corpus Callosum Segmentation in Brain MRIs via Robust Target-Localization and Joint Supervised Feature Extraction and Prediction., , , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 406-414. (2016)Image segmentation using an efficient rotationally invariant 3D region-based hidden Markov model., , and . CVPR Workshops, page 1-8. IEEE Computer Society, (2008)Modeling the Variability in Brain Morphology and Lesion Distribution in Multiple Sclerosis by Deep Learning., , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 462-469. Springer, (2014)A sensitive and efficient method for measuring change in cortical thickness using fuzzy correspondence in Alzheimer's disease., , , and . ICIP, page 3014-3018. IEEE, (2015)Shape Model and Threshold Extraction via Shape Gradients., and . VMV, page 481-490. Aka GmbH, (2001)MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging., , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1798-1812. PMLR, (2023)Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis., , , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 480-488. Springer, (2017)Deep Convolutional Encoder Networks for Multiple Sclerosis Lesion Segmentation., , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 3-11. Springer, (2015)Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis., , , , , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 86-94. (2016)