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Computational Health Center Institute of Machine Learning in Biomedical Imaging

The Institute of Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome.

The Institute of Machine Learning in Biomedical Imaging (IML) focuses on research to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome.

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About Our Research

The mission of the institute is to leverage machine learning for the grand challenges in biomedical imaging in areas of unmet clinical need. Its goal is to fundamentally transform the use of imaging for diagnostics and prognostics. Novel and affordable solutions should empower clinics to make more accurate, fast and reliable decisions for early detection, treatment planning and improved patient outcome. Julia Schnabel’s research focus is on applications in cancer, cardiovascular diseases, and maternal/perinatal health.

IML,

"Die KI wird nicht müde"

KI Serie "Wahnsinn und Methode" der Süddeutschen Zeitung, 23. August 2023

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IML,

AI.BAY 2023

Artificial intelligence is increasingly shaping our daily lives. From digital assistants on cell phones to complex systems in mobility or industrial production - it is impossible to imagine life without this key technology.

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IML,

ARD tagesschau Zukunft-Podcast: mal angenommen “KI in der Medizin? was dann?

Der tagesschau Zukunfts-Podcast: mal angenommen · 15.12.2022 · 27 Min.

 

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IML,

Julia Schnabel at Helmholtz Career Day for Data Science and IT

Data Science can help save lives. Julia Schnabel talked about the potential of machine learning solutions for medical imaging applications, such as early detection of diseases.

 

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IML,

Veronika Spieker wins the 1st place MedtecLIVE Talent Award 2022

The MedtecLIVE Talent Award 2022 is given to bachelor’s and master’s theses that relate to an innovation, improvement, or new application in medical technology along with its entire value chain.

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IML,

More Talented AI Specialists for Germany

The German Academic Exchange Service (Deutscher Akademischer Austauschdienst – DAAD) is using funding from the Federal Ministry of Education and Research (BMBF) to extend its promotion of young AI talents in Germany.

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IML,

Announcement (July 6–8th): Medical Imaging with Deep Learning

Prof. Dr. Julia Schnabel is invited as keynote speaker at MIDL 2022.

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IML,

Announcement (April 6th): MIBE Speaker Series

At each event, two Principal Investigators (PIs) of MIBE working in related research areas will provide exciting insights into their research. After the talks which take around 90 minutes, there is plenty of time for networking.

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IML,

Announcement (March 25th): Basics of AI & Medical Image Segmentation

Dates: Friday, 25th March 2022 & Saturday 26th March 2022

Location: TranslaTUM, Munich & online

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IML,

How AI Is Revolutionizing Medicine

Medicine is on the verge of another revolution: Artificial intelligence supports doctors in analyzing X-ray and ultrasound images and in improving diagnostics and treatment. Researchers in Germany are also successfully working on novel solutions, and…

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IML,

Upcoming Event: WBIR 2022

We are delighted to announce the 10th International Workshop on Biomedical Image Registration (WBIR2022) that will be hosted in Munich, Germany, from 10th to 12th July 2022.

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IML,

Podcast: AI-Ready Healthcare

By Anirban Mukhopadhyay

 

Podcast is a great clinical culture for Knowledge dissemination, constructive arguments & deep discussions. One more way in which the MICCAI community is different from those who we serve. Introducing "AI-ready Healthcare",…

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IML,

BIOTOPIA-Event "Künstliche Intelligenz im Gesundheitswesen"

Das Naturkundemuseum Bayern 'BIOTOPIA' veranstaltete am 2. Dezember ein Online-Event zum Thema "Künstliche Intelligenz im Gesundheitswesen: Anwendungen, Herausforderungen, Zukunftspotenziale". Vom Zentrum mit dabei sind unser CEO Matthias Tschöp,…

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IML,

RES171 Machine Learning in Biomedicine

RESONATOR - The Helmholtz Association's research podcast with Holger Klein

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Interview: “How a Computer Scientist Saves Lives With Algorithms and Pixels”.

Computer scientist Julia Schnabel is setting up a new institute at Helmholtz Munich. There, she and her team feed AI systems with patient images. The goal of the research: to give doctors more time for their patients.

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IML,

Interview: “The New Methods Are Moving Us Forward Tremendously”

Computer scientist Julia Schnabel is working on artificial intelligence that can help doctors diagnose and detect serious diseases at an early stage. She is now setting up a new institute at Helmholtz Munich after several decades in England.

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IML,

Julia Schnabel to lead new Institute of Machine Learning in Biomedical Imaging

Julia Schnabel has joined Helmholtz Zentrum München as the head of the newly formed Institute of Machine Learning in Biomedical Imaging. The new institute will complement and link into the biomedical imaging and computational health research program…

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Our Research Groups

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Julia Schnabel

Machine Learning in Biomedical Imaging

The Institute's mission is to develop biomedical imaging applications that can fundamentally change diagnosis and prognosis. The focus is on cancer, cardiovascular disease and maternal/perinatal health.

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Georgios Kaissis

Reliable AI

Our group develops next-generation trustworthy artificial intelligence algorithms for medical applications.

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Our Team

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Prof. Dr. Julia Anne Schnabel

Director, Institute of Machine Learning in Biomedical Imaging View profile

Dr. Veronika Anne Zimmer

Principal Investigator, TUM

Dr. Maxime Di Folco

PostDoc

Dr. Daniel Lang

PostDoc

Cosmin Bercea

PhD student

Hannah Eichhorn

PhD student

Anneliese Riess

Student

Veronika Spieker

PhD student

Simon Stieger

Student

Alejandra Castelblanco

PhD student @ ICB

Aleksandra Colic

PhD student @ IRM

Izabela Horvath

PhD student @ ITERM

Valentin Korbinian Koch

PhD student @ AIH

Lorenz Lamm

PhD student @ HAICU

Daniel Sens

PhD student @ AIH

Reza Nasirigerdeh

Sophia Wagner

PhD student @ HAICU

Sandra Mayer

Office Management

Publications

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Networks and Affiliations

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Sandra Mayer

Office Management

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