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Philipp Fischer
Philipp Fischer
University of Freiburg
Verified email at phil.fm
Title
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
560112015
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
33192015
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
21432016
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
15482014
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
13122015
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
6172015
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597 2, 2019
3222019
Descriptor matching with convolutional neural networks: a comparison to sift
P Fischer, A Dosovitskiy, T Brox
arXiv preprint arXiv:1405.5769, 2014
3052014
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
2582016
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
1942018
Lecture notes in computer science
O Ronneberger, P Fischer, T Brox
International Conference on Medical Image Computing and Computer-Assisted …, 2015
1492015
U-net: Convolutional networks for biomedical image segmentation. CoRR abs/1505.04597 (2015)
O Ronneberger, P Fischer, T Brox
1032015
Image orientation estimation with convolutional networks
P Fischer, A Dosovitskiy, T Brox
Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015
832015
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
782015
U-Net: convolutional networks for biomedical image segmentation. CoRR, abs/1505.04597
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2015
542015
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science
O Ronneberger, P Fischer, T Brox
Springer, 2015
512015
Image descriptors based on curvature histograms
P Fischer, T Brox
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
192014
myCOMAND automotive user interface: Personalized interaction with multimedia content based on fuzzy preference modeling
P Fischer, A Nürnberger
User Modeling, Adaptation, and Personalization: 18th International …, 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
U-Net: convolutional networks for biomedical image segmentation. May 18, 2015
O Ronneberger, P Fischer, T Brox
72018
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