Jianning Li
Researcher
Medical Image Analysis
Computer Vision
Artificial Intelligence
Deep Learning
jianningli.me[AT]gmail.com
Education
Ph.D. in Computer Science (with distinction)
M.S. in Computer Science (with distinction)
B.S. in Biomedical Engineering (with distinction)
Curriculum Vitae
Research Overview
My research interests include computer vision, maching learning (incl. interpretable deep learning, disentangled representation learning, deep generative models etc), and their applications in medical image analysis. I am also interested in mathematical vision and neural models.
Quick Update
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📌 Reach out to me if you want a collaboration in papers and grants, want to discuss ideas, or are interested in a thesis topic (Bachelor/Master).
- We offer several topics for Master's Thesis. For more information, check here
- (Closed) We are looking for a student research assistant. For more information, click here.
Latest Publications
Cover Story
(view full-size image):
Our review highlights how computational methods are reshaping root canal treatment. From high-resolution imaging and precise canal
segmentation to data-driven morphological analysis and predictive modeling, our review traces an emerging digital workflow that
enhances diagnostic accuracy and treatment planning. By mapping existing techniques into a clear taxonomy, we reveal both current
capabilities and critical gaps, especially in clinical translation and micro-CT analysis. The review reflects this convergence of dentistry
and computation, illustrating a pathway toward more reliable, insight-driven endodontic care.
View this paper.