Shahrooz Faghihroohi

Dr. Shahrooz Faghihroohi is a Lecturer at the Technical University of Munich (TUM), part of the Chair of Computer Aided Medical Procedures led by Prof. Nassir Navab. His research focuses on advancing deep learning applications in medical imaging, including medical image reconstruction, cardiovascular analysis, and statistical shape modeling. He also contributes to computer-aided diagnosis systems.

Teaching responsibilities include leading and assisting in multiple courses such as:

• Computer Aided Medical Procedures (Winter/Summer terms)
• Medical Augmented Reality
• Machine Learning in Medical Imaging
• Deep Learning for Medical Applications seminar

He is actively involved in interdisciplinary research projects like GenAI (Generative Models), MEDIA (Medical Image Analysis), and NARVIS. His work bridges computer vision, robotics, and surgical data science, with contributions to datasets such as SegThy and Leg-3D-US.

No scientific awards or grants are explicitly mentioned in the provided text. He collaborates closely with labs including DHM (German Heart Center Munich) and the IFL Lab, focusing on surgical data science and vision-language integration.