Jaime Gateno, MD, DDS

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


Biography

Following his postdoctoral training, Dr. Gateno joined the faculty at the University of Texas Health Science Center in Houston, Texas as an Assistant Professor of Oral and Maxillofacial Surgery. While at UT, he also held an appointment at Baylor College of Medicine as a Clinical Assistant Professor in the Division of Plastic and Reconstructive Surgery. Dr. Gateno is currently Co-Director of the Texas Cleft Craniofacial Team at UT, and was appointed Chair of the Department of Oral & Maxillofacial Surgery at Houston Methodist Hospital.

Description of Research

Dr. Gateno is a world leader in computer assisted planning for corrective oral and facial maxillary surgery. He and his collaborator, Dr. James Xia, hold a number of patents in this area, have had consistent funding for their research from both private and Federal sources, and have set the standards in the field both nationally and internationally.

Areas Of Expertise

Cranio-Maxillofacial Surgery TMJ Computer Assisted Surgery
Education & Training

Internship, Eastern Virginia Medical School
Residency, University of Pennsylvania Health System
Publications

Bidirectional prediction of facial and bony shapes for orthognathic surgical planning
Ma, L, Lian, C, Kim, D, Xiao, D, Wei, D, Liu, Q, Kuang, T, Ghanbari, M, Li, G, Gateno, J, Shen, SGF, Wang, L, Shen, D, Xia, JJ & Yap, PT 2023, , Medical Image Analysis, vol. 83, 102644. https://doi.org/10.1016/j.media.2022.102644

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, vol. 51, no. 8, pp. 1043-1049. 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

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning
Ma, L, Xiao, D, Kim, D, Lian, C, Kuang, T, Liu, Q, Deng, H, Yang, E, Liebschner, MAK, Gateno, J, Xia, JJ & Yap, PT 2022, , IEEE Transactions on Medical Imaging, pp. 1. https://doi.org/10.1109/TMI.2022.3180078

Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning
Lang, Y, Lian, C, Xiao, D, Deng, H, Thung, KH, Yuan, P, Gateno, J, Kuang, T, Alfi, DM, Wang, L, Shen, D, Xia, JJ & Yap, PT 2022, , IEEE Transactions on Medical Imaging, vol. 41, no. 10, pp. 2856-2866. https://doi.org/10.1109/TMI.2022.3174513

Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation
Chen, X, Kuang, T, Deng, H, Fung, SH, Gateno, J, Xia, JJ & Yap, PT 2022, , IEEE Transactions on Medical Imaging, vol. 41, no. 11, pp. 3445-3453. https://doi.org/10.1109/TMI.2022.3186698

Deep Learning-Based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement
Fang, X, Kim, D, Xu, X, Kuang, T, Deng, H, Barber, JC, Lampen, N, Gateno, J, Liebschner, MAK, Xia, JJ & Yan, P 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13437 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 565-574, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16449-1_54

DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental Models
Lang, Y, Chen, X, Deng, H, Kuang, T, Barber, JC, Gateno, J, Yap, PT & Xia, JJ 2022, . in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13432 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 444-452, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16434-7_43

Clinical feasibility of deep learning-based automatic head CBCT image segmentation and landmark detection in computer-aided surgical simulation for orthognathic surgery
Deng, H, Liu, Q, Chen, A, Kuang, T, Yuan, P, Gateno, J, Kim, D, Barber, JC, Xiong, KG, Yu, P, Gu, KJ, Xu, X, Yan, P, Shen, D & Xia, JJ 2022, , International Journal of Oral and Maxillofacial Surgery. https://doi.org/10.1016/j.ijom.2022.10.010

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