Contact

Room
4013
Phone
+49 30 84185-448
Email

Projects

Projects as Member

WEAR

WEAR

Within this interdisciplinary, collaborative research project, we will develop mathematical and algorithmic solutions for analyzing adzes/axes and grinding stones -...

WEAR
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A Soft-Correspondence Approach to Shape Analysis

Despite many advances, frameworks for geometric morphometry still rely on point-to-point correspondences between shapes, either explicitly in form of homologous landmarks...

A Soft-Correspondence Approach to Shape Analysis

Publications

2024
Shape-based Disease Grading via Functional Maps and Graph Convolutional Networks with Application to Alzheimer’s Disease BMC Medical Imaging, 2024 (accepted for publication) Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz, for the Alzheimer’s Disease Neuroimaging Initiative BibTeX
Mayer, Julius
2022
A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks Proceedings of Machine Learning Research, pp. 85-95, Vol.194, 2022 Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz PDF
BibTeX
Mayer, Julius