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Olaf Ronneberger
Olaf Ronneberger
apl. Prof. for Computer Science, University of Freiburg, Germany
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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
630932015
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
115402021
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
54732016
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
18722018
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
14312015
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
12982021
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
12472019
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
7522021
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
6492019
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
5602017
An objective comparison of cell-tracking algorithms
V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ...
Nature methods 14 (12), 1141-1152, 2017
4712017
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, M Datta, ...
Nature neuroscience 20 (6), 793-803, 2017
4702017
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
4342018
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015
O Ronneberger, P Fischer, T Brox
arXiv preprint arXiv:1505.04597 2, 2019
3852019
Chemotaxonomic identification of single bacteria by micro-Raman spectroscopy: application to clean-room-relevant biological contaminations
P Rösch, M Harz, M Schmitt, KD Peschke, O Ronneberger, H Burkhardt, ...
Applied and environmental microbiology 71 (3), 1626-1637, 2005
3602005
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
3212015
Comprehensive catecholaminergic projectome analysis reveals single-neuron integration of zebrafish ascending and descending dopaminergic systems
TL Tay, O Ronneberger, S Ryu, R Nitschke, W Driever
Nature communications 2 (1), 171, 2011
2822011
Micro-Raman spectroscopic identification of bacterial cells of the genus Staphylococcus and dependence on their cultivation conditions
M Harz, P Rösch, KD Peschke, O Ronneberger, H Burkhardt, J Popp
Analyst 130 (11), 1543-1550, 2005
2752005
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
2742016
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
2602022
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