output
20202024
most citedTemporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

9 citations

researchers with a paper here
collaborating institutions
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2024★ 1 cited

Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness

Idris Hamoud, Alexandros Karargyris, Aidean Sharghi +2

Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow. In the Operating Room…

cs.CV2020★ 3 cited

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…

cs.CV2020★ 9 cited

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…