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FEM Simulation with Realistic Sliding Effect to Improve Facial-Soft-Tissue-Change Prediction Accuracy for Orthognathic Surgery.

, , , , , , , , , , , and . MIAR, volume 9805 of Lecture Notes in Computer Science, page 27-37. Springer, (2016)

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Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery., , , , , , , , and . IEEE Trans. Inf. Technol. Biomed., 5 (2): 97-107 (2001)Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects., , , , , , , , , and 4 other author(s). IEEE Trans. Biomed. Eng., 68 (2): 362-373 (2021)DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models., , , , , , , and . MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 478-487. Springer, (2021)A Novel Computer-Aided Surgical Simulation (CASS) System to Streamline Orthognathic Surgical Planning., , , , , , , , , and 2 other author(s). MIAR, volume 9805 of Lecture Notes in Computer Science, page 3-14. Springer, (2016)Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations., , , , , , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 99-106. Springer, (2012)One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 39 (3): 787-796 (2020)Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2856-2866 (2022)Federated Multi-Organ Segmentation With Inconsistent Labels., , , and . IEEE Trans. Medical Imaging, 42 (10): 2948-2960 (October 2023)Diverse data augmentation for learning image segmentation with cross-modality annotations., , , , , , , , , and . Medical Image Anal., (2021)Federated Cross Learning for Medical Image Segmentation., , , , , , , , and . CoRR, (2022)