| Accurate and versatile 3D segmentation of plant tissues at cellular resolution A Wolny, L Cerrone, A Vijayan, R Tofanelli, AV Barro, M Louveaux, ... Elife 9, e57613, 2020 | 177 | 2020 |
| The mutex watershed: efficient, parameter-free image partitioning S Wolf, C Pape, A Bailoni, N Rahaman, A Kreshuk, U Kothe, ... Proceedings of the European Conference on Computer Vision (ECCV), 546-562, 2018 | 84 | 2018 |
| Improving Fisher matrix forecasts for galaxy surveys: window function, bin cross-correlation and bin redshift uncertainty A Bailoni, A Spurio Mancini, L Amendola Monthly Notices of the Royal Astronomical Society 470 (1), 688-705, 2017 | 22 | 2017 |
| A generalized framework for agglomerative clustering of signed graphs applied to instance segmentation A Bailoni, C Pape, S Wolf, T Beier, A Kreshuk, FA Hamprecht | 21 | 2019 |
| Disco: deep learning, instance segmentation, and correlations for cell segmentation in calcium imaging E Kirschbaum, A Bailoni, FA Hamprecht Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 20 | 2020 |
| The semantic mutex watershed for efficient bottom-up semantic instance segmentation S Wolf, Y Li, C Pape, A Bailoni, A Kreshuk, FA Hamprecht Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 15 | 2020 |
| GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation A Bailoni, C Pape, N Hütsch, S Wolf, T Beier, A Kreshuk, FA Hamprecht Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Proposal-free volumetric instance segmentation from latent single-instance masks A Bailoni, C Pape, S Wolf, A Kreshuk, FA Hamprecht Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 7 | 2021 |
| A generalized framework for agglomerative clustering of signed graphs applied to instance segmentation. arXiv A Bailoni, C Pape, S Wolf, T Beier, A Kreshuk, FA Hamprecht | 5 | 1906 |
| DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging E Kirschbaum, A Bailoni, FA Hamprecht arXiv preprint arXiv:1908.07957, 2019 | 4 | 2019 |
| The mutex watershed and its objective: Eflcient, parameter-free image partitioning S Wolf, A Bailoni, C Pape, N Rahaman, A Kreshuk, U Köthe, ... | 4 | 2019 |
| DISCo for the CIA: deep learning, instance segmentation, and correlations for calcium imaging analysis E Kirschbaum, A Bailoni, FA Hamprecht Preprint at https://arxiv. org/abs/1908.07957 v4, 2020 | 1 | 2020 |
| Deep Learning for Graph-Based Image Instance Segmentation A Bailoni | | 2021 |
