From post

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

, , , , , , , , , , , , , и . MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 469-477. Springer, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT., , , , , , , , , и 2 other автор(ы). MICCAI (4), том 12264 из Lecture Notes in Computer Science, стр. 807-816. Springer, (2020)DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models., , , , , , , и . MICCAI (2), том 13432 из Lecture Notes in Computer Science, стр. 444-452. Springer, (2022)A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect., , , , , , , , , и 1 other автор(ы). MICCAI (5), том 11768 из Lecture Notes in Computer Science, стр. 336-344. Springer, (2019)Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN., , , , , , , , , и 4 other автор(ы). GLMI@MICCAI, том 11849 из Lecture Notes in Computer Science, стр. 130-137. Springer, (2019)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)A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning., , , , , , , , , и 4 other автор(ы). MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 469-477. Springer, (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)Diverse data augmentation for learning image segmentation with cross-modality annotations., , , , , , , , , и . Medical Image Anal., (2021)Patient-specific reference model estimation for orthognathic surgical planning., , , , , , и . Int. J. Comput. Assist. Radiol. Surg., 19 (7): 1439-1447 (июля 2024)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)