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Philipp Fischer
Philipp Fischer
University of Freiburg
Verified email at phil.fm
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Cited by
Cited by
Year
U-net: Convolutional networks for biomedical image segmentation
O Ronneberger, P Fischer, T Brox
Medical image computing and computer-assisted intervention–MICCAI 2015: 18th …, 2015
831692015
Flownet: Learning optical flow with convolutional networks
A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...
Proceedings of the IEEE international conference on computer vision, 2758-2766, 2015
42242015
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
28392016
Medical image computing and computer-assisted intervention–MICCAI 2015
O Ronneberger, P Fischer, T Brox, N Navab, J Hornegger, WM Wells, ...
Lecture Notes in Computer Science 9351, 234-241, 2015
18892015
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
18612014
Flownet: Learning optical flow with convolutional networks
P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ...
arXiv preprint arXiv:1504.06852, 2015
7072015
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2015
6542015
A benchmark for comparison of dental radiography analysis algorithms
CW Wang, CT Huang, JH Lee, CH Li, SW Chang, MJ Siao, TM Lai, ...
Medical image analysis 31, 63-76, 2016
3312016
Descriptor matching with convolutional neural networks: a comparison to sift
P Fischer, A Dosovitskiy, T Brox
arXiv preprint arXiv:1405.5769, 2014
3292014
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015, Lecture Notes in Computer Science
O Ronneberger, P Fischer, T Brox, N Navab, J Hornegger, WM Wells, ...
Springer, 2015
2612015
What makes good synthetic training data for learning disparity and optical flow estimation?
N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy, T Brox
International Journal of Computer Vision 126, 942-960, 2018
2322018
Navab N., Hornegger J., Wells WM, Frangi AF
O Ronneberger, P Fischer, T Brox
U-Net: convolutional networks for biomedical image segmentation …, 2015
204*2015
U-net: Convolutional networks for biomedical image segmentation
P Fischer, T Brox
International Conference on Medical image computing and computer-assisted …, 2015
1622015
U-net: Convolutional networks for biomedical image segmentation. CoRR abs/1505.04597 (2015)
O Ronneberger, P Fischer, T Brox
1382015
Image orientation estimation with convolutional networks
P Fischer, A Dosovitskiy, T Brox
Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015
992015
Discriminative unsupervised feature learning with exemplar convolutional neural networks
D Alexey, P Fischer, J Tobias, MR Springenberg, T Brox
IEEE TPAMI 38 (9), 1734-1747, 2016
872016
U-net: Convolutional networks for biomedical image segmentation. 2015. doi: 10.48550
O Ronneberger, P Fischer, T Brox
arXiv preprint ARXIV.1505.04597, 0
71
Dental X-ray image segmentation using a U-shaped Deep Convolutional network
O Ronneberger, P Fischer, T Brox
International Symposium on Biomedical Imaging 1, 1-13, 2015
522015
U-net: Convolutional networks for biomedical image segmentation, CoRR abs/1505.04597
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2021
352021
Image descriptors based on curvature histograms
P Fischer, T Brox
German Conference on Pattern Recognition, 239-249, 2014
222014
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