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A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.

, , , , , , , , , , , , , and . MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 469-477. Springer, (2021)

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Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning., , , , , , , , , and 4 other author(s). MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 459-468. Springer, (2021)Domain base dynamic convolution and distance map guidance for anterior mediastinal lesion segmentation., , , , , , , and . Knowl. Based Syst., (2024)Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN., , , , , , , , , and 4 other author(s). GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 130-137. Springer, (2019)AFF-NET: An Adaptive Feature Fusion Network For Liver Vessel Segmentation From CT Images., , , , , , and . ISBI, page 1-5. IEEE, (2023)Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT., , , , , , , , , and 2 other author(s). MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 807-816. Springer, (2020)Self-supervised local rotation-stable descriptors for 3D ultrasound registration using translation equivariant FCN., , , , , , , and . Pattern Recognit., (2024)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)Prediction of Liver Respiratory Motion Based on Machine Learning., , , , , and . ROBIO, page 1228-1233. IEEE, (2019)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)