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
International Conference on Medical image computing and computer-assisted …, 2015
272862015
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
21602015
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
12972016
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
4862015
Discriminative unsupervised feature learning with exemplar convolutional neural networks
A Dosovitskiy, P Fischer, JT Springenberg, M Riedmiller, T Brox
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1734-1747, 2015
3662015
Medical image computing and computer-assisted intervention–MICCAI 2015
O Ronneberger, P Fischer, T Brox, N Navab, J Hornegger, W Wells, ...
Cham: Springer, 234-241, 2015
3562015
Descriptor matching with convolutional neural networks: a comparison to sift
P Fischer, A Dosovitskiy, T Brox
arXiv preprint arXiv:1405.5769, 2014
2662014
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
1412016
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
1142018
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2019
1082019
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
642015
Image orientation estimation with convolutional networks
P Fischer, A Dosovitskiy, T Brox
German Conference on Pattern Recognition, 368-378, 2015
452015
Image descriptors based on curvature histograms
P Fischer, T Brox
German Conference on Pattern Recognition, 239-249, 2014
122014
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
52016
Golkov,“
A Dosovitskiy, P Fischer, E Ilg, P Häusser, C Hazirbas
FlowNet: Learning Optical Flow with Convolutional Networks,” in ICCV 2, 2015
22015
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
2
Convolutional Networks to Relate Images
P Fischer
Universität, 2016
12016
DEUTSCHES MUSEUM IN MUNICH GETS NEW CERAMICS DEPARTMENT
P FISCHER
CERAM. FORUM INT./BER. DKG Ceram. Forum Int./Ber. DKG 57 (9), 201, 1980
1980
U-Net: Convolutional Networks for Biomedical Image Segmentation Download PDF
O Ronneberger, P Fischer, T Brox
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