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Graph Transformers for Characterization and Interpretation of Surgical Margins.

, , , , , , , , , , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 88-97. Springer, (2021)

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Self-supervised learning and uncertainty estimation for surgical margin detection., , , , , , , , , and 4 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Domain adaptation and self-supervised learning for surgical margin detection., , , , , , , , , and 6 other author(s). Int. J. Comput. Assist. Radiol. Surg., 16 (5): 861-869 (2021)Self-Supervised Learning For Detection Of Breast Cancer In Surgical Margins With Limited Data., , , , , , , , , and 3 other author(s). ISBI, page 980-984. IEEE, (2021)Bridging Ex-Vivo Training and Intra-operative Deployment for Surgical Margin Assessment with Evidential Graph Transformer., , , , , , , , , and 3 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 562-571. Springer, (2023)An End-to-End Solution for Automatic Contouring of Tumor Region in Intraoperative Images of Breast Lumpectomy., , , , , , , , , and 3 other author(s). EMBC, page 2003-2006. IEEE, (2020)Graph Transformers for Characterization and Interpretation of Surgical Margins., , , , , , , , , and 3 other author(s). MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 88-97. Springer, (2021)