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  • Past Talks
    • Sarcomas in Essen – Current Standards, Challenges and Opportunities
    • MICCAI Industrial Talk - Translating AI to Clinical Practice
    • Integrating Haptic Feedback with Mixed Reality for Seamless Virtual Object Interaction in Real Environments
    • Data-Centric Trustworthy AI
    • Potential of Large Language Models in Improving Health Literacy - Exploring Evaluation Metrics for Plain Language Medical Text Adaptations
    • Toward eliminating CT imaging in proton therapy - are we certain?
    • Physics-informed machine learning for functional MRI modeling
    • AI in Computational Neuroimaging
    • Causal Discovery - What can we learn from heterogeneous noise?
    • AI in pathology - From diagnostic to advanced applications
    • Domain-specific methods for joint embedding self-supervised learning with ultrasound images
    • When (Not) To Pool Data (or, how to alleviate the dirty little secret of machine learning)
    • Advancing Interventional Healthcare One Simulation at a Time
    • Using AI to improve pulmonary hypertension assessment - why we need machines
    • Optimierung der online adaptiven Strahlentherapie durch unüberwachte Bildfusionsalgorithmen
    • Causally Aware Machine Learning
    • Discovering Latent Causes and Memory Modification ; A Computational Approach Using Symmetry and Geometry
  • Upcoming Talks
    • tba
    • Making sense of data and models

tba

May 5, 2025·
Dr. Markus Vogel

tba

Last updated on Mar 25, 2025
Making sense of data and models Apr 14, 2025 →

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