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Otomatik gürbüz bölütleme ile uyluk MR imgelerinde kas ve yağ miktarlarının belirlenmesi (Quantification of muscle and fat volumes in the thigh MR images using automatic robust segmentation)

. Ege University, Turkey, (2017)

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Deep Learning for Musculoskeletal Image Analysis., , , и . CoRR, (2020)Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images., , , , , , , , , и 2 other автор(ы). EMBC, стр. 475-479. IEEE, (2022)Deep Learning for Musculoskeletal Image Analysis., , , и . ACSSC, стр. 1481-1485. IEEE, (2019)A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation., , , , , , , , , и . CoRR, (2018)Capsules for biomedical image segmentation., , , , и . Medical Image Anal., (2021)Otomatik gürbüz bölütleme ile uyluk MR imgelerinde kas ve yağ miktarlarının belirlenmesi (Quantification of muscle and fat volumes in the thigh MR images using automatic robust segmentation). Ege University, Turkey, (2017)Hierarchical 3D Feature Learning forPancreas Segmentation., , , , , и . MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 238-247. Springer, (2021)A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation., , , , , , , , , и . IEEE Trans. Biomed. Eng., 66 (4): 1069-1081 (2019)Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI., , , , , , , , и . J. Signal Process. Syst., 94 (5): 497-510 (2022)Multi-Contrast MRI Segmentation Trained on Synthetic Images., , , и . EMBC, стр. 5030-5034. IEEE, (2022)