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Research Blog

Welcome to our research blog, where we highlight the work and achievements of our researchers, with a special focus on our Junior Members. Here, you’ll gain insight into their innovative work and the fresh ideas they bring to the dynamic fields of ML and AI.

Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

Research Film

What if your AI model could tell you not just what will happen, but how sure it is?

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Link to Benedikt Wiestler: We Want to Build a Time Machine

31.07.2026

Benedikt Wiestler: We Want to Build a Time Machine

Research Film

What if you could pick the best cancer treatment for a patient before therapy even begins?

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Link to Gaps in the Benchmark: Why Medical AI Fails in the Real World

28.07.2026

Gaps in the Benchmark: Why Medical AI Fails in the Real World

MCML Research Insight – With Jiazhen Pan, Bailiang Jian, Niklas Bubeck, Christian Wachinger, Benedikt Wiestler, and Daniel Rückert

We’ve all seen the headlines: the latest Artificial Intelligence model has aced the US medical licensing exams, scoring higher than many human doctors. It sounds like the future of healthcare has …

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Link to The Learning Rate Does More Than Set the Pace

21.07.2026

The Learning Rate Does More Than Set the Pace

MCML Research Insight – With Maria Matveev, Vit Fojtik, Gitta Kutyniok, and Johannes Maly

A neural network can fit its training examples in many different ways. The harder question is which of these possible solutions will continue to perform well on new data, and whether the choices made …

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Link to Research Stay at Stanford University

29.06.2026

Research Stay at Stanford University

Felix Dülmer – Funded by the MCML AI X-Change Program

From March to May 2026, I had the opportunity to spend three months as a visiting researcher at Stanford University, hosted by Prof. Jeremy Dahl and the Ultrasound Imaging and Instrumentation Lab. …

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Link to Research Stay at National University of Singapore

26.06.2026

Research Stay at National University of Singapore

Bailiang Jian – Funded by the MCML AI X-Change Program

During my academic visit to Singapore. I am happy to work with the MVI-Lab lead by Prof. Hongwei Bran Li. The group works on a wide range of topics in medical image analysis, including CT-PET imaging …

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2024-11-22 - Last modified: 2026-08-25