Matthias Seibold

Matthias Seibold is a Lecturer at the Technical University of Munich (TUM), affiliated with the Chair of Computer Applications in Medicine under Prof. Nassir Navab. His research focuses on Deep Learning, Acoustic Sensing, Computer Vision, Medical Augmented Reality, and Surgical Sonification.

He has taught courses such as Computer Aided Medical Procedures I/II, Medical Augmented Reality, and Introduction to Surgical Robotics, alongside seminars on Deep Learning for Medical Applications and Modern Computer Vision Methods. His students include Sasan Matinfar, Jonas Hein, and Samer Moghnieh, who completed theses on topics like tool-in-hand tracking and blood loss quantification.

Mr. Seibold collaborates with institutions like the German Heart Center Munich (DHM) and contributes to research projects in the IFL Lab and NARVIS Lab, emphasizing Robotics and Ultrasound and Medical Image Analysis. His work bridges Computer Vision and Medical Innovation through practical applications in surgical data science and augmented reality.