Thorsten Beier
Thorsten Beier
Quality Match
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Title
Cited by
Cited by
Year
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
3152019
OpenGM: A C++ library for discrete graphical models
B Andres, T Beier, JH Kappes
arXiv preprint arXiv:1206.0111, 2012
1102012
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
1072011
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
992017
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
622019
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
472014
Fusion moves for correlation clustering
T Beier, FA Hamprecht, JH Kappes
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
442015
An efficient fusion move algorithm for the minimum cost lifted multicut problem
T Beier, B Andres, U Köthe, FA Hamprecht
European Conference on Computer Vision, 715-730, 2016
412016
The lazy flipper: Efficient depth-limited exhaustive search in discrete graphical models
B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht
European Conference on Computer Vision, 154-166, 2012
372012
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
222017
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
182017
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
132015
Asymmetric cuts: Joint image labeling and partitioning
T Kroeger, JH Kappes, T Beier, U Koethe, FA Hamprecht
German Conference on Pattern Recognition, 199-211, 2014
132014
Parallel multicut segmentation via dual decomposition
J Yarkony, T Beier, P Baldi, FA Hamprecht
International Workshop on New Frontiers in Mining Complex Patterns, 56-68, 2014
112014
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
102019
OpenGM2
B Andres, T Beier, JH Kappes
92014
MAP-inference on large scale higher-order discrete graphical models by fusion moves
JH Kappes, T Beier, C Schnörr
European Conference on Computer Vision, 469-484, 2014
62014
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
12018
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