| Ilastik: interactive machine learning for (bio) image analysis S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ... Nature methods 16 (12), 1226-1232, 2019 | 1110 | 2019 |
| Multicut brings automated neurite segmentation closer to human performance T Beier, C Pape, N Rahaman, T Prange, S Berg, DD Bock, A Cardona, ... Nature methods 14 (2), 101-102, 2017 | 135 | 2017 |
| Probabilistic image segmentation with closedness constraints B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht 2011 International Conference on Computer Vision, 2611-2618, 2011 | 118 | 2011 |
| OpenGM: A C++ library for discrete graphical models B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111, 2012 | 116 | 2012 |
| The Kipoi repository accelerates community exchange and reuse of predictive models for genomics Ž Avsec, R Kreuzhuber, J Israeli, N Xu, J Cheng, A Shrikumar, A Banerjee, ... Nature biotechnology 37 (6), 592-600, 2019 | 109 | 2019 |
| Cut, glue & cut: A fast, approximate solver for multicut partitioning T Beier, T Kroeger, JH Kappes, U Kothe, FA Hamprecht Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 58 | 2014 |
| Fusion moves for correlation clustering T Beier, FA Hamprecht, JH Kappes Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 52 | 2015 |
| An efficient fusion move algorithm for the minimum cost lifted multicut problem T Beier, B Andres, U Köthe, FA Hamprecht Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 50 | 2016 |
| The lazy flipper: Efficient depth-limited exhaustive search in discrete graphical models B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 40 | 2012 |
| Neuron segmentation with high-level biological priors NE Krasowski, T Beier, GW Knott, U Köthe, FA Hamprecht, A Kreshuk IEEE transactions on medical imaging 37 (4), 829-839, 2017 | 32 | 2017 |
| Solving large multicut problems for connectomics via domain decomposition C Pape, T Beier, P Li, V Jain, DD Bock, A Kreshuk Proceedings of the IEEE International conference on computer vision …, 2017 | 30 | 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 arXiv preprint arXiv:1906.11713, 2019 | 18 | 2019 |
| Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors N Krasowski, T Beier, GW Knott, U Koethe, FA Hamprecht, A Kreshuk 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 536-539, 2015 | 16 | 2015 |
| Asymmetric cuts: Joint image labeling and partitioning T Kroeger, JH Kappes, T Beier, U Koethe, FA Hamprecht Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014 | 16 | 2014 |
| Parallel multicut segmentation via dual decomposition J Yarkony, T Beier, P Baldi, FA Hamprecht New Frontiers in Mining Complex Patterns: Third International Workshop …, 2015 | 12 | 2015 |
| OpenGM2 B Andres, T Beier, JH Kappes Retrieved from, 2014 | 9 | 2014 |
| 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 | 6 | 2022 |
| MAP-inference on large scale higher-order discrete graphical models by fusion moves JH Kappes, T Beier, C Schnörr Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 6 | 2015 |
| OpenGM: A C++ library for discrete graphical models. ArXiv e-prints (2012) B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111 8, 0 | 5 | |
| Multicut Algorithms for Neurite Segmentation T Beier | 2 | 2018 |
