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    • Unlocking eXtended Realities for Medical Interfaces
    • Making sense of data and models
    • Sarcomas in Essen – Current Standards, Challenges and Opportunities
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    • Integrating Haptic Feedback with Mixed Reality for Seamless Virtual Object Interaction in Real Environments
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    • 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
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tba

Sep 1, 2025·
Prof. Dr. Florian Markowetz
Last updated on Sep 1, 2025
tba Jul 21, 2025 →

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