News
Bizhe wins 3rd place in SurgT Competition
2022-09-19: Bizhe Bai has participted in the SurgT: Surgical Tracking Competition which is part of the Endoscopic Vision Challenge and won the "Intuitive Award". Congratulations, Bizhe!
Robotics Teaching Lab Opening Event
2022-09-07: Together with the Opening Event from the new UTM Robotics Teaching Lab, we had first visitors in our own MEDCVR lab as well.
IROS 2022 paper accepted
2022-06-30: Our paper "Robust Sim2Real Transfer with the da Vinci Research Kit" got accpted for the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems. Congrats to Mustafa and Radian for pushing this forward.
Charles Yuan was awarded with a T-CAIREM Scholarship
2022-04-11: Charles' T-CAIREM Summer Scholarship proposal to work on ultrasound guidance for femoral artery puncturing was successful. We will work together with Dr. Yu Sun and his Advanced Micro and Nanosystems Laboratory (AMNL) at University of Toronto as well as Dr. Vitor Mendes Pereira. Congratulations, Charles!
Interdisciplinary Work between Computer Science, Engineering and Medicine
Our research is centred around computer and robot assisted medical diagnosis and interventions. We address challenges in the research field of medical technology, that have a focus on optical, spatial, cognitive or manipulative limits.
Computer Vision for Diagnosis and Therapy
Our research is mainly dealing with camera-based procedures, including endoscopic and microscopic vision as well as webcams and volumetric imaging modalities like Optical Coherence Tomography
Medical Robotics
We are using robot simulations and experimental surgical robots like the da Vinci Research Kit (dVRK) or custom-built systems
Artificial Intelligence
We investigate with established and own new datasets, how machine learning and decision making can be applied in the medical domain