Tianshu Kuang
Orcid: 0000-0002-9439-464X
According to our database1,
Tianshu Kuang
authored at least 22 papers
between 2019 and 2023.
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Bibliography
2023
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging, February, 2023
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022
Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.
IEEE J. Biomed. Health Informatics, 2021
A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.
Medical Image Anal., 2021
Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
A New Approach of Predicting Facial Changes Following Orthognathic Surgery Using Realistic Lip Sliding Effect.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019