9 citations · 12 across the 3 of their papers we have counts for
3 papers
Learning Invariant Representation of Tasks for Robust Surgical State Estimation
Yidan Qin, Max Allan, Yisong Yue +2
Surgical state estimators in robot-assisted surgery (RAS) - especially those trained via learning techniques - rely heavily on datasets that capture surgeon actions in laboratory o…
daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery
Yidan Qin, Seyedshams Feyzabadi, Max Allan +2
This paper presents a technique to concurrently and jointly predict the future trajectories of surgical instruments and the future state(s) of surgical subtasks in robot-assisted s…
Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources
Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi +4
Many tasks in robot-assisted surgeries (RAS) can be represented by finite-state machines (FSMs), where each state represents either an action (such as picking up a needle) or an ob…