29.07.2025
©TUM
AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy
TUM News Article
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.
29.07.2025
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©LMU
29.07.2025
Barbara Plank Awarded 2025 Imminent Research Grant for Work on Language Data
Barbara Plank’s MaiNLP lab wins 2025 Imminent Research Grant for a project on language data with Peng & de Marneffe.
©LMU
29.07.2025
Yusuf Sale Receives IJAR Young Researcher Award
MCML Junior Member Yusuf Sale received an IJAR Young Researcher Award at ISIPTA 2025 for his work.
29.07.2025
AI for Enhanced Eye Diagnostics - With Researcher Lucie Huang
Lucie Huang develops AI for faster eye scans and earlier diagnoses, featured in a new KI Trans video on real-world AI impact.
25.07.2025
MCML Researchers With 32 Papers at ACL 2025
63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). Vienna, Austria, 27.07.2025 - 01.08.2025
