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

, , , , , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 817-826. Springer, (2020)

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SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection., , , , , , , , , and 1 other author(s). MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 606-614. Springer, (2021)A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning., , , , , , , , , and 4 other author(s). MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 469-477. Springer, (2021)Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery., , , , , , , , , and 2 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 559-567. (2016)Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization., , , , , , , , , and 3 other author(s). MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 251-258. Springer, (2013)Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning., , , , , , , , , and . 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., , , , , , , , , and 1 other author(s). MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 817-826. Springer, (2020)FEM Simulation with Realistic Sliding Effect to Improve Facial-Soft-Tissue-Change Prediction Accuracy for Orthognathic Surgery., , , , , , , , , and 2 other author(s). MIAR, volume 9805 of Lecture Notes in Computer Science, page 27-37. Springer, (2016)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)Skull Segmentation from CBCT Images via Voxel-Based Rendering., , , , , , , , and . MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 615-623. Springer, (2021)