| 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 | 58905 | 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 | 9635 | 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 | 5158 | 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 | 1795 | 2018 |
| 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 | 1351 | 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 | 1190 | 2019 |
| 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 | 1144 | 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 | 619 | 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 | 613 | 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 | 534 | 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, M Datta, ... Nature neuroscience 20 (6), 793-803, 2017 | 458 | 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 | 453 | 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 | 408 | 2018 |
| 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 | 358 | 2005 |
| U-Net: Convolutional networks for biomedical image segmentation. arXiv 2015 O Ronneberger, P Fischer, T Brox arXiv preprint arXiv:1505.04597 2, 2019 | 344 | 2019 |
| 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 | 312 | 2015 |
| 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 | 280 | 2011 |
| 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 | 276 | 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 | 263 | 2016 |
| 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 | 245 | 2018 |
Thomas BroxUniversity of Freiburg and AmazonBekræftet mail på cs.uni-freiburg.de
