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Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI.

, , , , и . EMBC, стр. 2403-2406. IEEE, (2016)

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Marvin Yuen

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MRI-Based Segmentation of Pubic Bone for Evaluation of Pelvic Organ Prolapse., , , , и . IEEE J. Biomed. Health Informatics, 18 (4): 1370-1378 (2014)Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI., , , , и . EMBC, стр. 2403-2406. IEEE, (2016)Cluster-based Weighted Oversampling for Ordinal Regression (CWOS-Ord)., и . Neurocomputing, (2016)EMONAS: efficient multiobjective neural architecture search framework for 3D medical image segmentation., и . Medical Imaging: Image Processing, том 11596 из SPIE Proceedings, SPIE, (2021)Automated Localization of Multiple Pelvic Bone Structures on MRI., , , , и . IEEE J. Biomed. Health Informatics, 20 (1): 249-255 (2016)CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation., , , , , , , , , и 30 other автор(ы). Medical Image Anal., (2023)EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation., и . Artif. Intell. Medicine, (2021)CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation., , , , , , , , , и 30 other автор(ы). CoRR, (2022)An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation., и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation., и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113131W. SPIE, (2020)