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Philipp Seeböck

Institute: Medical University of Vienna

Date: March 27, 2025

Title: Deep learning in medical imaging: Biomarker discovery and beyond

Abstract: The Computational Imaging Research Lab (CIR) at the Medical University of Vienna works at the intersection of machine learning, imaging, medicine, and biology – developing novel machine learning methods to understand disease and to improve precision care. This talk will shed light onto the question “How can AI help to extract new knowledge from medical imaging data?”, in order to learn about diseases and improve personalized medicine. Key concepts and recent deep learning models will be discussed, including anomaly detection and unsupervised learning for biomarker discovery.

Primary Sidebar

The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

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