23 citations · 71 across the 14 of their papers we have counts for
4 papers · 1 filter
Real-Time Multimodal Activity-Aware Error Detection in Robot-Assisted Surgery
Seyed Hamid Reza Roodabeh, Zongyu Li, Homa Alemzadeh
Robot-assisted minimally invasive surgery improves surgical precision but introduces complexity, making technical error detection essential for ensuring patient safety. Current exe…
Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition using Kinematic Data
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Fine-grained activity recognition enables explainable analysis of procedures for skill assessment, autonomy, and error detection in robot-assisted surgery. However, existing recogn…
COMPASS: A Formal Framework and Aggregate Dataset for Generalized Surgical Procedure Modeling
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Purpose: We propose a formal framework for the modeling and segmentation of minimally-invasive surgical tasks using a unified set of motion primitives (MPs) to enable more objectiv…
Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments
Kay Hutchinson, Zongyu Li, Leigh A. Cantrell +2
Background Analyzing kinematic and video data can help identify potentially erroneous motions that lead to sub-optimal surgeon performance and safety-critical events in robot-assis…