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Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.

, , , , , , , , , , и . MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 817-826. Springer, (2020)

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One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures., , , , , , , , , и 1 other автор(ы). IEEE Trans. Medical Imaging, 39 (3): 787-796 (2020)Federated Multi-Organ Segmentation With Inconsistent Labels., , , и . IEEE Trans. Medical Imaging, 42 (10): 2948-2960 (октября 2023)Diverse data augmentation for learning image segmentation with cross-modality annotations., , , , , , , , , и . Medical Image Anal., (2021)Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning., , , , , , , , , и 4 other автор(ы). MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 459-468. Springer, (2021)Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning., , , , , , , , , и 2 other автор(ы). MICCAI (4), том 11073 из Lecture Notes in Computer Science, стр. 720-727. Springer, (2018)Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change., , , , , , , , , и 1 other автор(ы). MICCAI (9), том 14228 из Lecture Notes in Computer Science, стр. 566-575. Springer, (2023)Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning., , , , , , , , , и 2 other автор(ы). IEEE Trans. Medical Imaging, 42 (2): 336-345 (февраля 2023)A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect., , , , , , , , , и . Medical Image Anal., (2021)Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning., , , , , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 17 (5): 945-952 (2022)Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network., , , , , , , , , и 1 other автор(ы). MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 817-826. Springer, (2020)