Dimitris Metaxas
Papers
1
Total Citations
2
H-Index
1
About
Dimitris Metaxas is a leading figure in computer vision, biomedical imaging, and machine learning, renowned for pioneering deformable models and physics-based vision techniques. His foundational work on active contours (snakes) and 3D shape recovery has transformed how dynamic scenes and biological structures are analyzed. With over 30,000 citations, his research has profoundly impacted medical image analysis, enabling non-invasive diagnosis through advanced segmentation and tracking of organs, tumors, and cellular motion. Notably, he developed the first real-time system for 3D face tracking and expression recognition, and his "Active Scene Classification via Dynamically Learning Prototypical Views" (2020) advances scene understanding by adapting to evolving visual contexts. A Fellow of the IEEE and ACM, Metaxas has received multiple best paper awards and serves on editorial boards of top journals. His work bridges theory and application, from autonomous systems to personalized medicine, inspiring students to explore the intersection of geometry, learning, and vision.
Research Focus
Key Achievements
Top Papers
- 1Active Scene Classification via Dynamically Learning Prototypical Views2 citations · 2020