no code implementations • 18 Feb 2021 • Yidan Qin, Max Allan, Yisong Yue, Joel W. Burdick, Mahdi Azizian
The combination of high diversity and limited data calls for new learning methods that are robust and invariant to operating conditions and surgical techniques.
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.
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.