Olaf Ronneberger

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Thomas BroxUniversity of Freiburg and AmazonAdresse e-mail validée de cs.uni-freiburg.de
Hans BurkhardtProfessor of Computer Science, University of FreiburgAdresse e-mail validée de informatik.uni-freiburg.de
Wolfgang DrieverProfessor of Developmental Biology, University of FreiburgAdresse e-mail validée de biologie.uni-freiburg.de
Kun LiuFacebookAdresse e-mail validée de oculus.com
Roland NitschkeHead Life Imaging Center, Albert-Ludwigs-University FreiburgAdresse e-mail validée de uni-freiburg.de
Henrik SkibbeRIKEN, Center for Brain Science, Brain Image Analysis Unit, JapanAdresse e-mail validée de sys.i.kyoto-u.ac.jp
Marco ReisertMedical Physics and Stereotactic/Functional Neurosurgery, University Medical Center FreiburgAdresse e-mail validée de uniklinik-freiburg.de
Margret KeuperUniversity of SiegenAdresse e-mail validée de uni-siegen.de
Markus RaffelDLR Göttingen / Leibniz Universität Hannover / PIVTEC GmbHAdresse e-mail validée de dlr.de
Maja Temerinac-OttHochschule Furtwangen UniversityAdresse e-mail validée de hs-furtwangen.de
john wallingfordUT, AustinAdresse e-mail validée de austin.utexas.edu
Franck Anicet DitengouPrincipal investigator, University of FreiburgAdresse e-mail validée de biologie.uni-freiburg.de
Aaron PontiDepartment of Biosystems Science and Engineering, ETH ZurichAdresse e-mail validée de bsse.ethz.ch
Peter OchsSaarland UniversityAdresse e-mail validée de math.uni-sb.de
Janis KeuperInstitute for Machine Learning and Analytics (IMLA), Offenburg University, GermanyAdresse e-mail validée de hs-offenburg.de

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Olaf Ronneberger

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

Adresse e-mail validée de cs.uni-freiburg.de - Page d'accueil

Image Analysis Computer Vision Pattern Recognition Biomedical Applications


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	70588	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	14888	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	5996	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	2008	2018
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	1570	2015
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	1559	2021
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	1377	2019
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	1038	2021
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	761	2019
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	625	2017
An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017	503	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	486	2017
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	472	2018
U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015 O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597, 2015	428	2015
The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022	392	2022
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	361	2005
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	335	2015
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	290	2016
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	290	2011
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy S Nikolov, S Blackwell, A Zverovitch, R Mendes, M Livne, J De Fauw, ... arXiv preprint arXiv:1809.04430, 2018	284	2018

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