Speakers | Summer school on biomedical image analysis – from acquisition to fairness and bias

Topics: Industrial use of AI driven medical image analysis

Associate Professor
Vedrana Andersen Dahl
DTU Compute
Technical University of Denmark

Topics: Investigating the intersection between deep-learning-based segmentation and synchrotron 3D imaging

Professor
Anders Bjorholm Dahl
DTU Compute
Technical University of Denmark

Topics: Medical CT at Extreme Scale using Synchrotrons.

Associate Professor
Rikke Gade
Section for media technology
Aalborg University

Topics: Acquisition and analysis of human motion data from thermal imaging

Associate Professor
Melanie Ganz-Benjaminsen
Department of Computer Science, Copenhagen University
Neurobiology Research Unit, Rigshospitalet

Topics: Motion Analysis and Correction for 3D Medical Image Acquisition with a Focus on Brain MRI.

Professor
Rasmus R. Paulsen
DTU Compute
Technical University of Denmark

Topics: Neural implicit descriptions and analysis of complex 3D shapes from 3D medical images.

Professor
J. Andreas Bærentzen
DTU Compute
Technical University of Denmark

Topics: Parameterizations of complex 3D shapes.

Professor
Aasa Feragen
DTU Compute
Technical University of Denmark

Topics: Fairness of AI in medical imaging (FAIMI).

Professor
Jon Sporring
DTU Compute
Technical University of Denmark

Topics: Exploring Biological Shape Analysis through Topology, Geometry, and Statistics.

Professor
Robert Jenssen
The Arctic University of Norway

Topics: Medical Image Analysis in the Arctic.