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Andrew J. Hung
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Journal Articles
- 2024
- [j5]Zijun Cui, Runzhuo Ma, Cherine Yang, Anand Malpani, Timothy N. Chu, Ahmed Ghazi, John W. Davis, Brian J. Miles, Clayton Lau, Yan Liu, Andrew J. Hung:
Capturing relationships between suturing sub-skills to improve automatic suturing assessment. npj Digit. Medicine 7(1) (2024) - [j4]Rafal Kocielnik, Cherine H. Yang, Runzhuo Ma, Steven Y. Cen, Elyssa Y. Wong, Timothy N. Chu, J. Everett Knudsen, Peter Wager, John Heard, Umar Ghaffar, Anima Anandkumar, Andrew J. Hung:
Human AI collaboration for unsupervised categorization of live surgical feedback. npj Digit. Medicine 7(1) (2024) - 2023
- [j3]Andrew J. Hung, Richard Bao, Idris O. Sunmola, De-An Huang, Jessica H. Nguyen, Anima Anandkumar:
Capturing fine-grained details for video-based automation of suturing skills assessment. Int. J. Comput. Assist. Radiol. Surg. 18(3): 545-552 (2023) - [j2]Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell X. Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung:
Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digit. Medicine 6 (2023) - 2022
- [j1]Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022)
Conference and Workshop Papers
- 2023
- [c2]Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, Andrew J. Hung:
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills. MICCAI (9) 2023: 708-717 - [c1]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. ML4H@NeurIPS 2023: 256-267
Informal and Other Publications
- 2024
- [i4]Arushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs Nasriddinov, Cherine Yang, Elyssa Y. Wong, Anima Anandkumar, Andrew J. Hung:
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. CoRR abs/2411.10919 (2024) - 2023
- [i3]Rafal Kocielnik, Elyssa Y. Wong, Timothy N. Chu, Lydia Lin, De-An Huang, Jiayun Wang, Anima Anandkumar, Andrew J. Hung:
Deep Multimodal Fusion for Surgical Feedback Classification. CoRR abs/2312.03231 (2023) - 2022
- [i2]Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica H. Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung:
Quantification of Robotic Surgeries with Vision-Based Deep Learning. CoRR abs/2205.03028 (2022) - 2020
- [i1]Francisco Luongo, Ryan Hakim, Jessica H. Nguyen, Animashree Anandkumar, Andrew J. Hung:
Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. CoRR abs/2008.11833 (2020)
Coauthor Index
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