News
Invited Talk at PedMedDev Symposium
2021-02-16: Lueder A. Kahrs is giving an invited talk on "Computer Vision and Graphics for Mixed Reality in the Operating Room" at the 3rd International Symposium on Pediatric Medical Devices.
Two abstracts accepted at ImNO 2021
2021-01-15: The two abstracts of Wenzhi Guo and Emily Huang with the titles "Augmented Reality Relaxed Skin Tension Lines for Face Surgery - Initial Results on a Mobile Device" as well as "2D and 3D Labeling Methods for Facial Skin Tension Lines" are accepted for the 19th Annual Imaging Network Ontario Symposium.
Paper accepted at IEEE ISBI 2021
2021-01-08: Haotian Yang's paper "Real-Time Coarse-To-Fine Depth Estimation On Stereo Endoscopic Images With Self-Supervised Learning" was accepted for the IEEE International Symposium on Biomedical Imaging (ISBI) 2021.
Lueder is T-CAIREM member
2020-12-22: Lueder A. Kahrs has been accepted as Temerty Centre for AI Research and Education in Medicine (T-CAIREM) member.
Haotian received Research Grant
2020-11-13: Haotian Yang's application for the UTM Undergraduate Research Grant was successful. Congratulations!
Emily received Research Award
2020-06-17: Emily Huang's application for the DCS Undergraduate Research Award was successful. Congratulations!
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
Our Team
If you want to become member of our team, please contact Lueder A. Kahrs.
Lueder A. Kahrs
Assistant Professor
Mustafa Haiderbhai
PhD Student
Wenzhi Guo
PhD Student
Haotian Yang
Undergrad (4th year)
Emily Huang
Undergrad (3rd year)
Bizhe Bai
Undergrad (4th year)
Charles Yuan
Undergrad (X year)
Maha Kesibi
Undergrad (X year)
Raiyan Chowdhury
Undergrad (X year)
Trevor Nagy
Undergrad (X year)
Likhit Talasila
Undergrad (X year)
Jaivir Singh Panesar
Undergrad (X year)Co-supervised Students & Research Staff
Mona Al-Taha
MASc Student, University of Toronto
Jan Bergmeier
Doctoral Candidate, Leibniz University Hannover, Germany
Jacob F. Fast
Doctoral Candidate, Leibniz University Hannover, GermanyResearch Group Alumni
Mansoor Saqib
USRA Summer 2020
