Christoph Hofer
Christoph Hofer
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Deep learning with topological signatures
C Hofer, R Kwitt, M Niethammer, A Uhl
Advances in neural information processing systems, 1634-1644, 2017
Connectivity-optimized representation learning via persistent homology
C Hofer, R Kwitt, M Niethammer, M Dixit
International Conference on Machine Learning, 2751-2760, 2019
Learning Representations of Persistence Barcodes.
CD Hofer, R Kwitt, M Niethammer
Journal of Machine Learning Research 20 (126), 1-45, 2019
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
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
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
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI
C Hofer, R Kwitt, Y Höller, E Trinka, A Uhl
Computers in Biology and Medicine 117, 103592, 2020
Connectivity-Optimized Representation Learning via Persistent Homology–Supplementary material–
CD Hofer, R Kwitt, M Dixit, M Niethammer
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