2021-05-05: Together with Dr. Yu Sun and his Advanced Micro and Nanosystems Laboratory (AMNL) at University of Toronto we are an XSeed Winning Recipient of the 2021-23 Funding Competition. We are looking forward to this collaboration with Dr. Vitor Mendes Pereira on an exciting imaging and automation challenge.
2021-05-01: Together with the Continuum Robotics Lab at University of Toronto as well as The Wilfred and Joyce Posluns Centre for Image Guided Innovation & Therapeutic Intervention (PCIGITI) at SickKids, we are looking for 2 new Postdocs. Focus on Machine Learning with MRI data as well as Vision-guided Continuum Robotics.
2021-04-28: The Natural Sciences and Engineering Research Council of Canada (NSERC) has awarded Wenzhi Guo and Mustafa Haiderbhai prestigious scholarships for 3 years each. Congratulations!
2021-03-05: We are part of a big push and research effort towards better fetal interventions. Team leaders Dr. James Drake and Dr. Tim Van Mieghem have received funding from the Canada Foundation of Innovation (CFI) to build the research arm of the Ontario Fetal Centre (OFC). We are very happy to buy equipment to assist future fetal interventions through OCT-guidance.
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.
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.
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.
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
We are using robot simulations and experimental surgical robots like the da Vinci Research Kit (dVRK) or custom-built systems
We investigate with established and own new datasets, how machine learning and decision making can be applied in the medical domain
Lueder A. KahrsAssistant Professor
Mustafa HaiderbhaiPhD Student CS
Wenzhangzhi (Wenzhi) GuoPhD Student CS
Radian GondokaryonoPhD Student CS, starting Fall 2021
Yaniv KhaslavskyMSc Student CS, starting Fall 2021
Bizhe BaiVolunteer, ROP CSC399, 2021
Charles YuanVolunteer, 2021
Karthik ImmaneniROP, CSC399, 2021
Justin RegefROP, CSC399, 2021
Fangrui DongVolunteer, 2021
Mahak KhurmiVolunteer, 2021
Jinjie SunVolunteer, 2021
Waleed SawanVolunteer, 2021
Tawseef HanifVolunteer, 2021
Omar FaragVolunteer, 2021
Huizhen CuiVolunteer, 2021
Likhit TalasilaVolunteer, 2020/21
Mac MartinROP, CSC399, 2021
Rajath SubramanyamROP, CSC399, 2021
Co-supervised Students & Research Staff
Shamitra RohanMScAC Student, University of Toronto
Danting DongMScAC Student, University of Toronto
Mona Al-TahaMASc Student, University of Toronto
Jan BergmeierDoctoral Candidate, Leibniz University Hannover, Germany
Jacob F. FastDoctoral Candidate, Leibniz University Hannover, Germany
Research Group Alumni
Mansoor SaqibUSRA Summer 2020
Ajitesh MisraROP CSC299, 2020
Trevor NagyWork-Study & CSC392, 2020
Haotian YangROP CSC499, 2020/21
Jaivir Singh PanesarROP CSC499, 2020/21
Maha KesibiROP CSC499, 2020/21
Raiyan ChowdhuryROP CSC499, 2020/21
Emily HuangVolunteer, DCS Scholarship, 2020/21
Our Research Projects
- Computer Vision
- Medical Robotics
- Artificial Intelligence
da Vinci Research Kit
3D Endoscopic Vision
OCT Data Processing
Vision-based Skin Flap Surgery
Soft Tissue Laser Cutting
Vision-based Control of Robots