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

Y. Lang, C. Lian, D. Xiao, H. Deng, P. Yuan, J. Gateno, S. Shen, D. Alfi, P. Yap, J. Xia, and D. Shen. MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 817-826. Springer, (2020)

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Zhiguo Deng

Petra Deng

Yiming Deng

Mario Deng

Ming Deng

Other publications of authors with the same name

Federated Multi-Organ Segmentation With Inconsistent Labels.X. Xu, H. Deng, J. Gateno, and P. Yan. IEEE Trans. Medical Imaging, 42 (10): 2948-2960 (October 2023)One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.X. Chen, J. Xia, D. Shen, C. Lian, L. Wang, H. Deng, S. Fung, D. Nie, K. Thung, P. Yap and 1 other author(s). IEEE Trans. Medical Imaging, 39 (3): 787-796 (2020)Diverse data augmentation for learning image segmentation with cross-modality annotations.X. Chen, C. Lian, L. Wang, H. Deng, T. Kuang, S. Fung, J. Gateno, D. Shen, J. Xia, and P. Yap. Medical Image Anal., (2021)Spatiotemporal Incremental Mechanics Modeling of Facial Tissue Change.N. Lampen, D. Kim, X. Xu, X. Fang, J. Lee, T. Kuang, H. Deng, M. Liebschner, J. Xia, J. Gateno and 1 other author(s). MICCAI (9), volume 14228 of Lecture Notes in Computer Science, page 566-575. Springer, (2023)Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.L. Ma, D. Kim, C. Lian, D. Xiao, T. Kuang, Q. Liu, Y. Lang, H. Deng, J. Gateno, Y. Wu and 4 other author(s). MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 459-468. Springer, (2021)Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.M. Zhao, L. Wang, J. Chen, D. Nie, Y. Cong, S. Ahmad, A. Ho, P. Yuan, S. Fung, H. Deng and 2 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 720-727. Springer, (2018)Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.L. Ma, D. Xiao, D. Kim, C. Lian, T. Kuang, Q. Liu, H. Deng, E. Yang, M. Liebschner, J. Gateno and 2 other author(s). IEEE Trans. Medical Imaging, 42 (2): 336-345 (February 2023)A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect.D. Kim, T. Kuang, Y. Rodrigues, J. Gateno, S. Shen, X. Wang, K. Stein, H. Deng, M. Liebschner, and J. Xia. Medical Image Anal., (2021)Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.N. Lampen, D. Kim, X. Fang, X. Xu, T. Kuang, H. Deng, J. Barber, J. Gateno, J. Xia, and P. Yan. Int. J. Comput. Assist. Radiol. Surg., 17 (5): 945-952 (2022)A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.D. Xiao, H. Deng, T. Kuang, L. Ma, Q. Liu, X. Chen, C. Lian, Y. Lang, D. Kim, J. Gateno and 4 other author(s). MICCAI (4), volume 12904 of Lecture Notes in Computer Science, page 469-477. Springer, (2021)

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Disambiguation of "Deng, Hannah H."

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

Please choose a person to relate this publication to

Zhiguo Deng

Petra Deng

Yiming Deng

Mario Deng

Ming Deng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Deng, Hannah H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.

Please choose a person to relate this publication to

Zhiguo Deng

Petra Deng

Yiming Deng

Mario Deng

Ming Deng

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.