Mohammad Farid Azampour

Dr. Mohammad Farid Azampour is a Researcher at the Chair of Computer Aided Medical Procedures within the Department of Informatics at the Technical University of Munich (TUM). His work bridges robotics, medical imaging, and deep learning, with affiliations extending to the German Heart Center Munich (DHM) and collaborations across TUM's NARVIS and IFL labs.

Research Focus: Azampour specializes in physics-inspired AI for healthcare, including robotic ultrasound systems, neural representations for medical image reconstruction, and anatomy-aware deep learning. His projects emphasize real-time surgical guidance, weakly supervised learning for clinical data, and multi-modal registration (e.g., CT-US/MRI fusion).

Teaching & Supervision: He coordinates courses such as Medical Augmented Reality, Advanced 3D Computer Vision, and Innovation Generation in Healthcare. Azampour actively mentors students through IDPs, theses, and practical projects in computer-aided medical procedures.

Publications: His recent work (2020-2025) demonstrates consistent focus on enhancing medical imaging through neural networks (e.g., Ultra-NeRF for ultrasound, diffusion models for simulation) and improving surgical robotics via real-time navigation/registration. Key themes include reducing annotation dependency, leveraging physics-based models, and enabling intraoperative decision-making.