daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery

no code implementations • 24 Sep 2020 • Yidan Qin, Seyedshams Feyzabadi, Max Allan, Joel W. Burdick, Mahdi Azizian

We propose daVinciNet - an end-to-end dual-task model for robot motion and surgical state predictions.

Trajectory Prediction

Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources

no code implementations • 7 Feb 2020 • Yidan Qin, Sahba Aghajani Pedram, Seyedshams Feyzabadi, Max Allan, A. Jonathan McLeod, Joel W. Burdick, Mahdi Azizian

A crucial step towards the automation of such surgical tasks is the temporal perception of the current surgical scene, which requires a real-time estimation of the states in the FSMs.

Joint Deep Learning for Car Detection

no code implementations • 25 Dec 2014 • Seyedshams Feyzabadi

We strongly believe that having an experiment on a larger dataset can show the advantage of using deep models over shallow ones.

object-detection Object Detection +2