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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
International Conference on Medical image computing and computer-assisted …, 2015
493192015
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
30612015
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
19792016
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
14312014
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015
O Ronneberger, P Fischer, T Brox, N Navab, J Hornegger, WM Wells, ...
Cham: Springer, 234-241, 2015
9322015
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
5852015
Descriptor matching with convolutional neural networks: a comparison to sift
P Fischer, A Dosovitskiy, T Brox
arXiv preprint arXiv:1405.5769, 2014
2992014
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597 2, 2019
2662019
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
2362016
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 (9), 942-960, 2018
1812018
Lecture Notes in Computer Science
O Ronneberger, P Fischer, T Brox
Springer 9351, 234, 2015
1082015
U-net: Convolutional networks for biomedical image segmentation. CoRR abs/1505.04597 (2015)
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2015
962015
Image orientation estimation with convolutional networks
P Fischer, A Dosovitskiy, T Brox
German conference on pattern recognition, 368-378, 2015
752015
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015, edited by N
O Ronneberger, P Fischer, T Brox
Navab, J. Hornegger, WM Wells & AF Frangi, 234-241, 2015
632015
Image descriptors based on curvature histograms
P Fischer, T Brox
German Conference on Pattern Recognition, 239-249, 2014
172014
myCOMAND automotive user interface: Personalized interaction with multimedia content based on fuzzy preference modeling
P Fischer, A Nürnberger
International Conference on User Modeling, Adaptation, and Personalization …, 2010
92010
Adaptive and multimodal interaction in the vehicle
P Fischer, A Nurnberger
2008 IEEE International Conference on Systems, Man and Cybernetics, 1512-1516, 2008
92008
Discriminative detection and alignment in volumetric data
D Mai, P Fischer, T Blein, J Dürr, K Palme, T Brox, O Ronneberger
German Conference on Pattern Recognition, 205-214, 2013
72013
Illustrating complexity in the brand management of family firms
B Felden, P Fischer, M Graffius, L Marwede
Complexity in entrepreneurship, innovation and technology research, 219-244, 2016
62016
U-Net: Convolutional Networks for Biomedical Image Segmentation, vol. 9351 of
O Ronneberger, P Fischer, T Brox
Lecture Notes in Computer Science, 234-241, 0
6
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