Olaf Ronneberger

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

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Olaf Ronneberger

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

Dirección de correo verificada de cs.uni-freiburg.de - Página principal

Image Analysis Computer Vision Pattern Recognition Biomedical Applications


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	93675	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	27135	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	7835	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	2423	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	2279	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	2132	2021
Medical image computing and computer-assisted intervention–MICCAI 2015 O Ronneberger Springer, 2015	2085	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	1796	2019
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	1021	2019
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022	875	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	830	2017
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	756	2024
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015 O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597, 2015	627	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	608	2018
An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	592	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	561	2017
U-Net: Convolutional networks for biomedical image segmentation, arXiv: e-print service O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597, 2015	401	2015
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	371	2005
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	366	2016
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	365	2015

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