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Olaf Ronneberger
Olaf Ronneberger
apl. Prof. for Computer Science, University of Freiburg, Germany
Bestätigte E-Mail-Adresse bei cs.uni-freiburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1000322015
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
nature 596 (7873), 583-589, 2021
310202021
3D U-Net: learning dense volumetric segmentation from sparse annotation
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
84212016
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342-1350, 2018
25502018
Highly accurate protein structure prediction for the human proteome
K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ...
Nature 596 (7873), 590-596, 2021
24772021
Protein complex prediction with AlphaFold-Multimer
R Evans, M O’Neill, A Pritzel, N Antropova, A Senior, T Green, A Žídek, ...
biorxiv, 2021.10. 04.463034, 2021
24622021
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
22042015
Accurate structure prediction of biomolecular interactions with AlphaFold 3
J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ...
Nature, 1-3, 2024
21632024
U-Net: deep learning for cell counting, detection, and morphometry
T Falk, D Mai, R Bensch, Ö Çiçek, A Abdulkadir, Y Marrakchi, A Böhm, ...
Nature methods 16 (1), 67-70, 2019
19072019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ...
arXiv preprint arXiv:1902.09063, 2019
11132019
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
10532022
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
8852024
Gland segmentation in colon histology images: The glas challenge contest
K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ...
Medical image analysis 35, 489-502, 2017
8832017
U-Net: Convolutional networks for biomedical image segmentation, arXiv: e-print service
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2015
8132015
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597, 2015
6932015
A probabilistic u-net for segmentation of ambiguous images
S Kohl, B Romera-Paredes, C Meyer, J De Fauw, JR Ledsam, ...
Advances in neural information processing systems 31, 2018
6532018
An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
6112017
A new fate mapping system reveals context-dependent random or clonal expansion of microglia
TL Tay, D Mai, J Dautzenberg, F Fernández-Klett, G Lin, null Sagar, ...
Nature neuroscience 20 (6), 793-803, 2017
5772017
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
3922016
Medical image computing and computer-assisted intervention–MICCAI 2016
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger
19th International Conference, Athens, Greece, 424-432, 2016
387*2016
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