Olaf Ronneberger

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Thomas BroxUniversity of FreiburgVerifisert e-postadresse på cs.uni-freiburg.de
Hans BurkhardtProfessor of Computer Science, University of FreiburgVerifisert e-postadresse på informatik.uni-freiburg.de
Wolfgang DrieverProfessor of Developmental Biology, CIBSS, University of FreiburgVerifisert e-postadresse på biologie.uni-freiburg.de
Kun LiuFacebookVerifisert e-postadresse på oculus.com
Roland NitschkeLife Imaging Center and Signalling Research Centres CIBSS and BIOSS, University Freiburg,Verifisert e-postadresse på biologie.uni-freiburg.de
Henrik SkibbeRIKEN, Center for Brain Science, Brain Image Analysis Unit, JapanVerifisert e-postadresse på sys.i.kyoto-u.ac.jp
Marco ReisertMedical Physics and Stereotactic/Functional Neurosurgery, University Medical Center FreiburgVerifisert e-postadresse på uniklinik-freiburg.de
Margret KeuperUniversity of MannheimVerifisert e-postadresse på uni-mannheim.de
Markus RaffelDLR Göttingen / Leibniz Universität Hannover / PIVTEC GmbHVerifisert e-postadresse på dlr.de
Maja Temerinac-OttHochschule Furtwangen UniversityVerifisert e-postadresse på hs-furtwangen.de
John WallingfordUT, AustinVerifisert e-postadresse på austin.utexas.edu
Franck Anicet DitengouPrincipal investigator, University of FreiburgVerifisert e-postadresse på biologie.uni-freiburg.de
Aaron PontiDepartment of Biosystems Science and Engineering, ETH ZurichVerifisert e-postadresse på bsse.ethz.ch
Peter OchsSaarland UniversityVerifisert e-postadresse på math.uni-sb.de
Janis KeuperInstitute for Machine Learning and Analytics (IMLA), Offenburg University, GermanyVerifisert e-postadresse på hs-offenburg.de

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Olaf Ronneberger

apl. Prof. for Computer Science, University of Freiburg, Germany

Verifisert e-postadresse på cs.uni-freiburg.de - Startside

Image Analysis Computer Vision Pattern Recognition Biomedical Applications


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	96889	2015
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	29079	2021
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	8127	2016
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	2481	2018
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	2372	2021
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	2307	2021
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	2155	2015
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	1853	2019
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	1381	2024
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	1064	2019
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022	980	2022
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	862	2017
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015 O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597, 2015	653	2015
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	634	2018
U-Net: Convolutional networks for biomedical image segmentation, arXiv: e-print service O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597, 2015	634	2015
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024	614	2024
An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	602	2017
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	567	2017
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	381	2016
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	373*	2016

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