| 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 | 1247 | 2019 |
| An objective comparison of cell tracking algorithms V Ulman, M Maška, K Magnusson, O Ronneberger, C Haubold, N Harder, ... Nature Methods, 2017 | 470 | 2017 |
| Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs R Bensch, O Ronneberger IEEE International Symposium on Biomedical Imaging (ISBI), 1220-1223, 2015 | 66 | 2015 |
| The polarity protein Inturned links NPHP4 to Daam1 to control the subapical actin network in multiciliated cells T Yasunaga, S Hoff, C Schell, M Helmstädter, O Kretz, S Kuechlin, ... Journal of Cell Biology 211 (5), 963-973, 2015 | 50 | 2015 |
| Non-directional radial intercalation dominates deep cell behavior during zebrafish epiboly R Bensch, S Song, O Ronneberger, W Driever Biology open 2 (8), 845-854, 2013 | 33 | 2013 |
| Spontaneous and electric field–controlled front–rear polarization of human keratinocytes D Saltukoglu, J Grünewald, N Strohmeyer, R Bensch, MH Ulbrich, ... Molecular biology of the cell 26 (24), 4373-4386, 2015 | 30 | 2015 |
| Data-driven modeling of intracellular auxin fluxes indicates a dominant role of the ER in controlling nuclear auxin uptake AM Middleton, C Dal Bosco, P Chlap, R Bensch, H Harz, F Ren, ... Cell reports 22 (11), 3044-3057, 2018 | 29 | 2018 |
| Bö hm T Falk, D Mai, R Bensch, O Ciçek, A Abdulkadir, Y Marrakchi A., Deubner, J., Jäckel, Z., Seiwald, K., et al, 67-70, 2019 | 17 | 2019 |
| Image analysis of arabidopsis trichome patterning in 4D confocal datasets R Bensch, O Ronneberger, B Greese, C Fleck, K Wester, M Hulskamp, ... IEEE International Symposium on Biomedical Imaging (ISBI), 742-745, 2009 | 17 | 2009 |
| Çiçek z T Falk, D Mai, R Bensch Abdulkadir A, Marrakchi Y, Böhm A, Deubner J, Jäckel Z, Seiwald K, Dovzhenko …, 2019 | 14 | 2019 |
| Influence of cell-to-cell variability on spatial pattern formation B Greese, K Wester, R Bensch, O Ronneberger, J Timmer, M Hülskamp, ... IET systems biology 6 (4), 143-153, 2012 | 12 | 2012 |
| Spatiotemporal deformable prototypes for motion anomaly detection R Bensch, N Scherf, J Huisken, T Brox, O Ronneberger International Journal of Computer Vision 122, 502-523, 2017 | 9 | 2017 |
| Spatiotemporal Deformable Prototypes for Motion Anomaly Detection R Bensch, T Brox, O Ronneberger British Machine Vision Conference (BMVC), 189.1--189.12, 2015 | 9 | 2015 |
| Precise Positioning of Robots with Fusion of GNSS, INS, Odometry, Barometer, Local Positioning System and Visual Localization P Henkel, A Sperl, U Mittmann, R Bensch, P Färber, C Günther International Technical Meeting of The Satellite Division of the Institute …, 2018 | 8 | 2018 |
| U-Net: deep learning for cell counting, detection, and morphometry (vol 16, pg 67, 2019) T Falk, D Mai, R Bensch, O Cicek, A Abdulkadir, Y Marrakchi, A Bohm, ... Nature Methods 16 (4), 351-351, 2019 | 3 | 2019 |
| Precise Positioning of Robots with Fusion of GNSS, INS, Odometry, LPS and Vision P Henkel, A Sperl, U Mittmann, R Bensch, P Färber 2019 IEEE Aerospace Conference, 1-6, 2019 | 3 | 2019 |
| Semi-supervised learning of edge filters for volumetric image segmentation M Keuper, R Bensch, K Voigt, A Dovzhenko, K Palme, H Burkhardt, ... German Conference on Pattern Recognition (GCPR), formerly DAGM, 462-471, 2010 | 2 | 2010 |
| Motion pattern analysis for biomedical applications:: quantitative comparisons in 2D and 3D time-lapse microscopy R Bensch Dissertation, Universität Freiburg, 2017, 2018 | | 2018 |
| FR-Be-GE: SUMMARY R Bensch, O Ronneberger | | |
| Cell Tracking Challenge R Bensch, O Ronneberger | | |
Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyZweryfikowany adres z cs.uni-freiburg.de
