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

, , , , , , , , , , , и . MIAR, том 9805 из Lecture Notes in Computer Science, стр. 27-37. Springer, (2016)

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Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects., , , , , , , , , и 4 other автор(ы). IEEE Trans. Biomed. Eng., 68 (2): 362-373 (2021)Three-dimensional virtual-reality surgical planning and soft-tissue prediction for orthognathic surgery., , , , , , , , и . IEEE Trans. Inf. Technol. Biomed., 5 (2): 97-107 (2001)A Novel Computer-Aided Surgical Simulation (CASS) System to Streamline Orthognathic Surgical Planning., , , , , , , , , и 2 other автор(ы). MIAR, том 9805 из Lecture Notes in Computer Science, стр. 3-14. Springer, (2016)Incremental Kernel Ridge Regression for the Prediction of Soft Tissue Deformations., , , , , , , , и . MICCAI (1), том 7510 из Lecture Notes in Computer Science, стр. 99-106. Springer, (2012)DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models., , , , , , , и . MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 478-487. Springer, (2021)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)SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection., , , , , , , , , и 1 other автор(ы). MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 606-614. Springer, (2021)