Geometric Deep Learning in Medical Image Analysis
18 November 2022, Amsterdam
Organized by:
Dr. Jelmer Wolterink (University of Twente) works on novel deep learning methods for medical image analysis. He is the recipient of a prestigious VENI grant from the Dutch Research Council (NWO) for patient-specific aortic aneurysm modeling.
Dr. Angelica I Aviles-Rivero (University of Cambridge) centers on graph-based techniques for (bio-)medical applications, focused on novel functionals (PDEs) with carefully designed priors. Recognitions include an outstanding paper award (ICML 2020) and elected officer (SIAM SIAG/IS 2022).
Dr. Erik Bekkers (University of Amsterdam) develops deep learning methods that respect and leverage the geometric structure of (non-Euclidean) data and problems. Awards include a MICCAI Young Scientist Award (2018) and a VENI grant (NWO) for context-aware AI for medical image analysis.
