Christoph Hofer
Christoph Hofer
Bestätigte E-Mail-Adresse bei cosy.sbg.ac.at
TitelZitiert vonJahr
Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
Advances in Neural Information Processing Systems, 1634-1644, 2017
512017
Connectivity-Optimized Representation Learning via Persistent Homology
C Hofer, R Kwitt, M Dixit, M Niethammer
arXiv preprint arXiv:1906.09003, 2019
32019
Factors affecting volume changes of the somatosensory cortex in patients with spinal cord injury: to be considered for future neuroprosthetic design
Y Höller, A Tadzic, AC Thomschewski, P Höller, S Leis, SO Tomasi, ...
Frontiers in neurology 8, 662, 2017
32017
Simple domain adaptation for cross-dataset analyses of brain MRI data
C Hofer, R Kwitt, Y Höller, E Trinka, A Uhl
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
22017
Constructing Shape Spaces from a Topological Perspective
C Hofer, R Kwitt, M Niethammer, Y Höller, E Trinka, A Uhl
International Conference on Information Processing in Medical Imaging, 106-118, 2017
12017
Learning representations of persistence barcodes
CD Hofer, R Kwitt, M Niethammer
Journal of Machine Learning Research 20 (126), 1-45, 2019
2019
Connectivity-Optimized Representation Learning via Persistent Homology–Supplementary material–
CD Hofer, R Kwitt, M Dixit, M Niethammer
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