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)

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)

A degradation-aware guided fusion network for infrared and visible image. - Xue Wang 011; Zheng Guan; Wenhua Qian; Jinde Cao; Runzhuo Ma; Cong Bi (Inf. Fusion, 2025)

A Retinex Decomposition Model-Based Deep Framework for Infrared and Visible Image Fusion. - Xue Wang 011; Wenhua Qian; Zheng Guan; Jinde Cao; Runzhuo Ma; Chengchao Wang (IEEE J. Sel. Top. Signal Process., 2025)

STFuse: Infrared and Visible Image Fusion via Semisupervised Transfer Learning. - Xue Wang 011; Zheng Guan; Wenhua Qian; Jinde Cao; Chengchao Wang; Runzhuo Ma (IEEE Trans. Neural Networks Learn. Syst., 2025)

Residual Prior-driven Frequency-aware Network for Image Fusion. - Zheng Guan; Xue Wang 011; Wenhua Qian; Peng Liu 056; Runzhuo Ma (CoRR, 2025)