| 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 | 1609 | 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 | 750 | 2017 |
| Amotl2a interacts with the Hippo effector Yap1 and the Wnt/β-catenin effector Lef1 to control tissue size in zebrafish S Agarwala, S Duquesne, K Liu, A Boehm, L Grimm, S Link, S König, ... Elife 4, e08201, 2015 | 44 | 2015 |
| Author Correction: 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 (4), 351-351, 2019 | 29 | 2019 |
| ISOODL: Instance segmentation of overlapping biological objects using deep learning A Böhm, A Ücker, T Jäger, O Ronneberger, T Falk 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 17 | 2018 |
| ISOOV2 DL - Semantic Instance Segmentation of Touching and Overlapping Objects A Böhm, M Tatarchenko, T Falk 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 8 | 2019 |
| Ko nig S, Eimer S, Ronneberger O, Lecaudey V. 2015. Amotl2a interacts with the hippo effector Yap1 and the wnt/b-catenin effector Lef1 to control tissue size in zebrafish S Agarwala, S Duquesne, K Liu, A Boehm, L Grimm, S Link Elife 4, e08201, 0 | 5 | |
| Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects A Böhm, N Mayer, T Brox 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 230-234, 2020 | 3 | 2020 |
| Instance Segmentation of Microscopy Images A Böhm Albert-Ludwigs-Universität Freiburg im Breisgau, 2021 | | 2021 |
| instance segmentation of microscopy images: development of deep learning image analysis tools A Böhm Dissertation, Universität Freiburg, 2021, 0 | | |
