Speaker: Diana Waldmannstetter, M.Sc.; PhD student at the research group Image-Based Biomedical Modeling led by Prof. Björn Menze
Time: 7 January 2019, 1:15 pm
Place: Munich School of BioEngineering (Lecture Hall E.126, Boltzmannstr. 11, 85748 Garching)
Abstract:
Re-identifiying locations of interest in brain images before and after tumor resection is a hard identification problem, as the anatomical landscape changes dramatically. Classical image registration techniques oftentimes fail in vicinity of the tumor, where the enclosing structures are massively altered from one scan to another. Still, locations nearby the tumor or the resection cavity are the most relevant for evaluating tumor progression patterns. For addressing this problem, recent Deep Learning approaches are explored.