James J. Xia

James J. Xia, MD, PhD

Professor of Oral and Maxillofacial Surgery, Academic Institute
Full Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Surgical Planning Lab


Biography

Dr. Xia is the Director of the Surgical Planning Laboratory with the Department of Oral and Maxillofacial Surgery at The Methodist Hospital. He is also an Associate Professor in the Department of Pediatric Surgery at the University of Texas –Houston Medical School. Dr. Xia received his medical degree from the Shanghai Second Medical University in China and his doctoral degree in surgical planning from the University of Hong Kong. He has completed post-doctoral work in computer graphics and computer modeling and a fellowship in rapid prototyping. He also holds a master degree in clinical research from the University of Texas-Houston Medical School. Dr. Xia has more than 100 articles in peer-reviewed publications and has received awards from the Hong Kong Computer Society and the Municipality of Shanghai. He has been extensively lecturing in the US, as well as internationally including Belgium, Brazil, Mexico, Hong Kong SAR, China.

Description of Research

Dr. Xia’s research focuses on ongoing trials of new methods to utilize advanced imaging, computer modeling, and surgical navigation to result in making major facial and skull surgeries safer, faster, and more successful. He was a Methodist Hospital Research Institute Research Scholar and has ongoing NIH support for his computer surgical simulation work in cranio-maxillofacial surgery (with Dr. Jaime Gateno of TMH). He and Dr. Gateno have developed system called Computer-Assisted Surgical Simulation (CASS) that aids in surgical planning for these major facial surgeries.

Areas Of Expertise

Craniomaxillofacial surgery Surgical planning Computer modeling Rapid prototyping Surgical navigation medical imaging
Education & Training

Postdoctoral Fellowship, Image Computing Group, Dept of Computer Science City University, Hong Kong
PhD, University of Hong Kong
Postdoctoral Fellowship, Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University, Shanghai
Residency, Department of Oral and Maxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Second Medical University
MD, Shanghai Second Medical University
MS, University of Texas Health Science Center at Houston
Patents

SYSTEMS AND METHODS FOR COMPUTER-AIDED ORTHOGNATHIC SURGICAL PLANNING

Patent Number: EP3500172, Jun 26 2019


Systems and methods for computer-aided orthognathic surgical planning

Patent Number: AU2017312214, Apr 04 2019


SYSTEMS AND METHODS FOR COMPUTER-AIDED ORTHOGNATHIC SURGICAL PLANNING

Patent Number: WO2018035524, Feb 22 2018


METODO Y APARATO PARA LA FABRICACION DE FERULAS QUIRURGICAS ORTOGNATICAS.

Patent Number: ES2369491T, Dec 01 2011


English

Patent Number: AT515973T, Jul 15 2011


Publications

Midsagittal Plane First: Building a Strong Facial Reference Frame for Computer-Aided Surgical Simulation
Grissom, MK, Gateno, J, English, JD, Jacob, HB, Kuang, T, Gonzalez, CE, Yuan, P, Deng, HH, Frick, CJ, Kim, D, Hassan, A & Xia, JJ 2022, , Journal of Oral and Maxillofacial Surgery, vol. 80, no. 4, pp. 641-650. https://doi.org/10.1016/j.joms.2021.11.016

Clinical feasibility evaluation of digital dental articulation for three-piece maxillary orthognathic surgery: a proof-of-concept study
Frick, CJ, Deng, HH, English, JD, Jacob, HB, Kuang, T, Grissom, MK, Kim, D, Gateno, J & Xia, JJ 2022, , International Journal of Oral and Maxillofacial Surgery. https://doi.org/10.1016/j.ijom.2022.02.001

Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning
Lampen, N, Kim, D, Fang, X, Xu, X, Kuang, T, Deng, HH, Barber, JC, Gateno, J, Xia, J & Yan, P 2022, , International Journal of Computer Assisted Radiology and Surgery, vol. 17, no. 5, pp. 945-952. https://doi.org/10.1007/s11548-022-02596-1

A novel incremental simulation of facial changes following orthognathic surgery using FEM with realistic lip sliding effect
Kim, D, Kuang, T, Rodrigues, YL, Gateno, J, Shen, SGF, Wang, X, Stein, K, Deng, HH, Liebschner, MAK & Xia, JJ 2021, , Medical Image Analysis, vol. 72, 102095. https://doi.org/10.1016/j.media.2021.102095

Diverse data augmentation for learning image segmentation with cross-modality annotations
Chen, X, Lian, C, Wang, L, Deng, H, Kuang, T, Fung, SH, Gateno, J, Shen, D, Xia, JJ & Yap, PT 2021, , Medical Image Analysis, vol. 71, 102060. https://doi.org/10.1016/j.media.2021.102060

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects
Xiao, D, Lian, C, Wang, L, Deng, H, Lin, HY, Thung, KH, Zhu, J, Yuan, P, Perez, L, Gateno, J, Shen, SG, Yap, PT, Xia, JJ & Shen, DI 2021, , IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, 9079472, pp. 362-373. https://doi.org/10.1109/TBME.2020.2990586

Validity of Medical Insurance Guidelines for Orthognathic Surgery
Schneider, SA, Gateno, J, Coppelson, KB, English, JD & Xia, JJ 2021, , Journal of Oral and Maxillofacial Surgery, vol. 79, no. 3, pp. 672-684. https://doi.org/10.1016/j.joms.2020.11.012

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation
Chen, X, Lian, C, Wang, L, Deng, H, Kuang, T, Fung, S, Gateno, J, Yap, PT, Xia, JJ & Shen, DI 2021, , IEEE Transactions on Medical Imaging, vol. 40, no. 1, 9201096, pp. 274-285. https://doi.org/10.1109/TMI.2020.3025133

A Better Understanding of Unilateral Condylar Hyperplasia of the Mandible
Gateno, J, Coppelson, KB, Kuang, T, Poliak, CD & Xia, JJ 2021, , Journal of Oral and Maxillofacial Surgery, vol. 79, no. 5, pp. 1122-1132. https://doi.org/10.1016/j.joms.2020.12.034

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning
Xiao, D, Lian, C, Deng, H, Kuang, T, Liu, Q, Ma, L, Kim, D, Lang, Y, Chen, X, Gateno, J, Shen, SG, Xia, JJ & Yap, PT 2021, , IEEE Journal of Biomedical and Health Informatics, vol. PP, no. 8, 9336225, pp. 2958-2966. https://doi.org/10.1109/JBHI.2021.3054494

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN
Chen, X, Lian, C, Deng, HH, Kuang, T, Lin, HY, Xiao, D, Gateno, J, Shen, D, Xia, JJ & Yap, PT 2021, , IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3867-3878. https://doi.org/10.1109/TMI.2021.3099509

Unsupervised learning of reference bony shapes for orthognathic surgical planning with a surface deformation network
Xiao, D, Deng, H, Lian, C, Kuang, T, Liu, Q, Ma, L, Lang, Y, Chen, X, Kim, D, Gateno, J, Shen, SG, Shen, D, Yap, PT & Xia, JJ 2021, , Medical Physics, vol. 48, no. 12, pp. 7735-7746. https://doi.org/10.1002/mp.15126

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning
Xiao, D, Deng, HH, Kuang, T, Ma, L, Liu, Q, Chen, X, Lian, C, Lang, Y, Kim, D, Gateno, J, Shen, SG, Shen, D, Yap, PT & Xia, JJ 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12904 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 469-477, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87202-1_45

DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
Lang, Y, Deng, HH, Xiao, D, Lian, C, Kuang, T, Gateno, J, Yap, PT & Xia, JJ 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12904 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 478-487, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87202-1_46

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
Ma, L, Kim, D, Lian, C, Xiao, D, Kuang, T, Liu, Q, Lang, Y, Deng, HH, Gateno, J, Wu, Y, Yang, E, Liebschner, MAK, Xia, JJ & Yap, PT 2021, . in M de Bruijne, M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12904 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 459-468, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87202-1_44

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection
Liu, Q, Deng, H, Lian, C, Chen, X, Xiao, D, Ma, L, Chen, X, Kuang, T, Gateno, J, Yap, PT & Xia, JJ 2021, . in C Lian, X Cao, I Rekik, X Xu & P Yan (eds), Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12966 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 606-614, 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87589-3_62

Skull Segmentation from CBCT Images via Voxel-Based Rendering
Liu, Q, Lian, C, Xiao, D, Ma, L, Deng, H, Chen, X, Shen, D, Yap, PT & Xia, JJ 2021, . in C Lian, X Cao, I Rekik, X Xu & P Yan (eds), Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12966 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 615-623, 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 9/27/21. https://doi.org/10.1007/978-3-030-87589-3_63

An automatic approach to establish clinically desired final dental occlusion for one-piece maxillary orthognathic surgery
Deng, H, Yuan, P, Wong, S, Gateno, J, Garrett, FA, Ellis, RK, English, JD, Jacob, HB, Kim, D, Barber, JC, Chen, W & Xia, JJ 2020, , International Journal of Computer Assisted Radiology and Surgery, vol. 15, no. 11, pp. 1763-1773. https://doi.org/10.1007/s11548-020-02125-y

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization
Zhang, J, Liu, M, Wang, L, Chen, S, Yuan, P, Li, J, Shen, SGF, Tang, Z, Chen, KC, Xia, JJ & Shen, D 2020, , Medical Image Analysis, vol. 60, 101621. https://doi.org/10.1016/j.media.2019.101621

Clinical Evaluation of Digital Dental Articulation for One-Piece Maxillary Surgery
Wong, S, Deng, H, Gateno, J, Yuan, P, Garrett, FA, Ellis, RK, English, JD, Jacob, HB, Kim, D & Xia, JJ 2020, , Journal of Oral and Maxillofacial Surgery, vol. 78, no. 5, pp. 799-805. https://doi.org/10.1016/j.joms.2019.12.021