News Medical Image Processing & AI

  • Franz Pfeiffer, Professor of Biomedical Physics. Image: Andreas Heddergott / TUM

    International recognition for physicist in the field of X-ray imaging

    Prof. Franz Pfeiffer receives Blaise Pascal Medal

    16 September 2025 | Franz Pfeiffer, Professor of Biomedical Physics at TUM and Director of MIBE, specializes in biomedical X-ray physics. For his outstanding contributions to science, technology, and research education, he is awarded the 2025 Blaise Pascal Medal in Physics by the European Academy of Sciences.

  • Prof. Nassir Navab leitet den Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality der Technischen Universität München. Er hat mit seinem Team nachgewiesen, dass ein Avatar den Stresslevel bei den Patientinnen und Patienten senkt. Bild: Andreas Heddergott / TUM

    Autonomous ultrasound systems

    Avatar’s presence inspires trust

    10 September 2025 | Patients have more confidence in autonomous robotic ultrasound systems when an avatar guides them through the process. This was discovered by Prof. Nassir Navab from TUM. The virtual agent explains what it is doing, answers questions and can speak any language.

  • Daniel Rückert (right), Professor of AI in Healthcare and Medicine at TUM is discussing research results with a staff member. Image: Juli Eberle

    Faster diagnoses and shorter examinations

    Artificial intelligence in medicine and everyday clinical practice

    25 July 2025 | Artificial intelligence (AI) is also used in the medical field, to evaluate data or search for patterns in large amounts of data. Researchers at Technical University of Munich (TUM) are working on making these human-AI collaborations safe, reliable and efficient.

  • European Research Council funds Proofs of Concepts

    Six ERC Grants for TUM researchers

    14 July 2025 | The European Research Council (ERC) supports scientists, who want to develop marketable innovations based on their research results, with Proof of Concept Grants. Researchers at TUM have now been awarded six of these grants, including two MIBE PIs: Prof. Gordon Cheng and Prof. Fabian Theis.

  • Gliom Connectom Analysis: die Arbeitsgruppe funktionelle Neuronavigation und -monotoring von Prof. Dr. med. Sandro Krieg an der Neurochirurgischen Klinik der TUM am Klinikum rechts der Isar kartiert präoperativ den Bereich der Bewegungs- und Spracharele mittels navigierter transkranieller Magnetsimulation (nTMS), um diese Bereiche bei einer Operation eines Hirntumors (Gliom) zu schonen. Bild: Astrid Eckert / TUM

    TUM Center for Structural and Functional Connectomics

    New center for brain research on the Garching campus

    10 July 2025 | A new connectomics research center will be established on the TUM campus in Garching, which will focus on the comprehensive mapping and analysis of all neuronal connections in the brain.

  • The ground-breaking ceremony for the ZDMG: From left: Thomas Jenkel, Dr. Martin Siess, Research Minister Markus Blume, Prof. Daniel Rückert, Prof. Stephanie Combs, Prof. Gerhard Kramer. Image: Kathrin Czoppelt / TUM Klinikum

    New infrastructure for pioneering research at the TUM University Hospital

    Construction begins on new Center for Digital Medicine and Health

    27 June 2025 | Construction has officially begun on the new Center for Digital Medicine and Health (ZDMG) at the Technical University of Munich (TUM), marked by a symbolic groundbreaking ceremony. The interdisciplinary center, which will bring together medical research, artificial intelligence, and data science under one roof, is being built on the campus of the TUM University Hospital Rechts der Isar.

  • Julijana Gjorgjieva, professor for Computational Neurosciences at TUM. Image: Astrid Eckert / TUM

    Neural Networks benefit from biological data

    How artificial intelligence can learn from mice

    12 June 2025 | The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications — from autonomous driving to robotics. Researchers at TUM have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system development.

  • Machine learning methods are applied to process enormous quantities of data. Image: iStockphoto.com / Amiak

    Artificial intelligence in biomedicine

    A key to analyzing millions of individual cells

    23 January 2025 | Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers at TUM and Helmholtz Munich have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

  • The time of a stroke is currently usually determined using CT scans. The darker the damaged region, the longer ago the stroke occurred. A new AI-supported procedure can determine the time much more precisely. Image: sudok1 / istockphoto.com

    Algorithm for particularly precise assessment of brain damage

    AI pinpoints stroke timing with high accuracy

    16 December 2024 | Quick action after a stroke hits can significantly reduce permanent damage. However, it is crucial to determine the exact time of the event to decide on the best treatment. A research team, including expertise from TUM, has developed an algorithm that can determine the timing of a stroke with exceptional precision, outperforming current approaches by a factor of two.

  • Leibniz Awardee 2025: Prof. Daniel Rückert. Image: Juli Eberle / TUM

    Most important German research prize for TUM professor

    Medical AI researcher Daniel Rückert receives Leibniz Prize

    11 December 2024 | Computer scientist and AI researcher Prof. Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. The professor of AI in Medicine and Healthcare at TUM is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the DFG.