Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery. - Francisco Luongo; Ryan Hakim; Jessica H. Nguyen; Animashree Anandkumar; Andrew J. Hung (CoRR, 2020)

Quantification of Robotic Surgeries with Vision-Based Deep Learning. - Dani Kiyasseh; Runzhuo Ma; Taseen F. Haque; Jessica H. Nguyen; Christian Wagner; Animashree Anandkumar; Andrew J. Hung (CoRR, 2022)

Surgical gestures as a method to quantify surgical performance and predict patient outcomes. - 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; et al. (npj Digit. Medicine, 2022)

Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills. - Loc Trinh; Tim Chu; Zijun Cui; Anand Malpani; Cherine Yang; Istabraq Dalieh; Alvin Hui; Oscar Gomez; Yan Liu 002; Andrew J. Hung (MICCAI (9), 2023)

Deep Multimodal Fusion for Surgical Feedback Classification. - Rafal Kocielnik; Elyssa Y. Wong; Timothy N. Chu; Lydia Lin; De-An Huang; Jiayun Wang; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2023)

Human visual explanations mitigate bias in AI-based assessment of surgeon skills. - 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 (npj Digit. Medicine, 2023)

Capturing fine-grained details for video-based automation of suturing skills assessment. - Andrew J. Hung; Richard Bao; Idris O. Sunmola; De-An Huang; Jessica H. Nguyen; Anima Anandkumar (Int. J. Comput. Assist. Radiol. Surg., 2023)

Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment. - Arushi Gupta; Rafal Kocielnik; Jiayun Wang; Firdavs Nasriddinov; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)

Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment. - Firdavs Nasriddinov; Rafal Kocielnik; Arushi Gupta; Cherine Yang; Elyssa Y. Wong; Anima Anandkumar; Andrew J. Hung (ML4H@NeurIPS, 2024)

Capturing relationships between suturing sub-skills to improve automatic suturing assessment. - Zijun Cui; Runzhuo Ma; Cherine Yang; Anand Malpani; Timothy N. Chu; Ahmed Ghazi; John W. Davis; Brian J. Miles; Clayton Lau; Yan Liu 002; Andrew J. Hung (npj Digit. Medicine, 2024)

Human AI collaboration for unsupervised categorization of live surgical feedback. - 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 (npj Digit. Medicine, 2024)

AI-driven Automation of End-to-end Assessment of Suturing Expertise. - Atharva Deo; Nicholas Matsumoto; Sun Kim; Peter Wager; Randy G. Tsai; Aaron Denmark; Cherine Yang; Xi Li; Jay Moran; Miguel Hernandez; Andrew J. Hung (CoRR, 2025)