Home  | News

29.07.2025

Teaser image to AI research by Daniel Rückert improves medical imaging and data privacy

AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy

TUM News

MCML Director Daniel Rückert and his team are developing AI technologies to improve diagnostic imaging and protect patient data. Their research includes federated learning approaches that allow models to learn from clinical data without sharing sensitive information, as well as privacy-enhancing techniques like added data noise.

Their methods are already being applied in MRI and CT systems, leading to shorter exam times and more accurate diagnostics. The work is a key step toward integrating trustworthy AI into daily clinical practice.

#research #rueckert
Subscribe to RSS News feed

Related

Link to

28.11.2025

MCML at NeurIPS 2025

MCML researchers are represented with 45 papers at NeurIPS 2025 (36 Main, and 9 Workshops).

Link to Seeing the Bigger Picture – One Detail at a Time

27.11.2025

Seeing the Bigger Picture – One Detail at a Time

FLAIR, introduced by Zeynep Akata’s group at CVPR 2025, brings fine-grained, text-guided detail recognition to vision-language models.

Link to How Will Artificial Intelligence Redefine Medicine in the Next Decade?

25.11.2025

How Will Artificial Intelligence Redefine Medicine in the Next Decade?

AI in Medicine Workshop 2025 opened with strong momentum as experts from MCML and BIFOLD highlighted how AI will drive future healthcare innovation.

Link to Daniel Rückert Among the World’s Most Cited Researchers

25.11.2025

Daniel Rückert Among the World’s Most Cited Researchers

MCML Director Daniel Rückert is among the world’s most cited researchers for AI in healthcare, part of 17 TUM scientists recognized in 2025.

Link to Zigzag Your Way to Faster, Smarter AI Image Generation

20.11.2025

Zigzag Your Way to Faster, Smarter AI Image Generation

ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.

Back to Top