News
XSeed Funding for Needle Guidance
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.
2 Postdoctoral Fellow Openings
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.
100% success with the Canada Graduate Scholarships – Doctoral Program
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!
$2.8m CFI Funding at SickKids
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.
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.
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
Team Members
Lueder A. Kahrs
Assistant Professor
Mustafa Haiderbhai
PhD Student CS
Wenzhi Guo
PhD Student CS
Radian Gondokaryono
PhD Student CS, starting Fall 2021
Yaniv Khaslavsky
MSc Student CS, starting Fall 2021
Emily Huang
Volunteer, DCS Scholarship, 2020/21
Bizhe Bai
Volunteer, ROP CSC399, 2021
Charles Yuan
Volunteer, 2021
Karthik Immaneni
ROP, CSC399, 2021
Fangrui Dong
Volunteer, 2021
Mahak Khurmi
Volunteer, 2021
Jinjie Sun
Volunteer, 2021
Waleed Sawan
Volunteer, 2021
Tawseef Hanif
Volunteer, 2021
Huizhen Cui
Volunteer, 2021
Likhit Talasila
Volunteer, 2020/21
Mac Martin
ROP, CSC399, 2021
Rajath Subramanyam
ROP, CSC399, 2021
Justin Regef
ROP, CSC399, 2021Co-supervised Students & Research Staff
Shamitra Rohan
MScAC Student, University of Toronto
Danting Dong
MScAC Student, University of Toronto
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
Ajitesh Misra
ROP CSC299, 2020
Trevor Nagy
Work-Study & CSC392, 2020
Haotian Yang
ROP CSC499, 2020/21
Jaivir Singh Panesar
ROP CSC499, 2020/21
Maha Kesibi
ROP CSC499, 2020/21
