Ario Sadafi

Ario Sadafi is a researcher at the Technical University of Munich (TUM), affiliated with the Chair of Computer Science Applications in Medicine under Prof. Nassir Navab. His work spans medical image analysis, machine learning, and computational pathology, with a strong focus on developing AI-driven solutions for microscopic imaging in hematology and oncology.

Research Focus:

• Multiple Instance Learning for weakly supervised medical image classification.
• Explainable AI for biomedical single-cell imaging.
• Continual and cross-domain learning for robust diagnostic models.
• Microscopic image analysis for blood cell disorders and leukemia subtyping.

Teaching Contributions:

Sadafi has been actively involved in teaching courses such as Computer Aided Medical Procedures, Medical Augmented Reality, and Deep Learning for Medical Applications. He also supervises practical courses and seminars in 3D Computer Vision and Machine Learning in Medical Imaging.

Labs & Collaborations:

He works closely with the MEDIA (Medical Image Analysis) and NARVIS labs at TUM, contributing to projects in surgical data science, generative models, and robotics & ultrasound.

Publications Impact:

His research output (2018–2025) emphasizes AI-driven hematology, with applications in red/white blood cell classification, leukemia subtype diagnosis, and interpretable deep learning models for clinical use.