| 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 | 1909 | 2019 |
| Ilastik: Interactive learning and segmentation toolkit C Sommer, C Straehle, U Koethe, FA Hamprecht 2011 IEEE international symposium on biomedical imaging: From nano to macro …, 2011 | 1388 | 2011 |
| Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images A Kreshuk, CN Straehle, C Sommer, U Koethe, M Cantoni, G Knott, ... PloS one 6 (10), e24899, 2011 | 166 | 2011 |
| Globally consistent multi-label assignment on the ray space of 4d light fields S Wanner, C Straehle, B Goldluecke Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 132 | 2013 |
| Conditional flow variational autoencoders for structured sequence prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle arXiv preprint arXiv:1908.09008, 2019 | 96 | 2019 |
| Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons B Maco, A Holtmaat, M Cantoni, A Kreshuk, CN Straehle, FA Hamprecht, ... PloS one 8 (2), e57405, 2013 | 91 | 2013 |
| Carving: scalable interactive segmentation of neural volume electron microscopy images CN Straehle, U Köthe, G Knott, FA Hamprecht Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 47 | 2011 |
| Biomedical imaging: from Nano to Macro C Sommer, C Straehle, U Kothe, FA Hamprecht 2011 IEEE International Symposium on 230, 233, 2011 | 46 | 2011 |
| Automated segmentation of synapses in 3D EM data A Kreshuk, CN Straehle, C Sommer, U Koethe, G Knott, FA Hamprecht 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 41 | 2011 |
| Learning game-theoretic models of multiagent trajectories using implicit layers P Geiger, CN Straehle Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 4950-4958, 2021 | 30 | 2021 |
| Seeded watershed cut uncertainty estimators for guided interactive segmentation CN Straehle, U Koethe, G Knott, K Briggman, W Denk, FA Hamprecht 2012 IEEE Conference on Computer Vision and Pattern Recognition, 765-772, 2012 | 30 | 2012 |
| Adenosine and forskolin inhibit platelet aggregation by collagen but not the proximal signalling events JC Clark, DM Kavanagh, S Watson, JA Pike, RK Andrews, EE Gardiner, ... Thrombosis and Haemostasis 119 (07), 1124-1137, 2019 | 23 | 2019 |
| Including multi-feature interactions and redundancy for feature ranking in mixed datasets AK Shekar, T Bocklisch, PI Sánchez, CN Straehle, E Müller Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 18 | 2017 |
| Haar wavelet based block autoregressive flows for trajectories A Bhattacharyya, CN Straehle, M Fritz, B Schiele Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 17 | 2021 |
| Multiple instance learning with response-optimized random forests C Straehle, M Kandemir, U Koethe, FA Hamprecht 2014 22nd International Conference on Pattern Recognition, 3768-3773, 2014 | 11 | 2014 |
| K-smallest spanning tree segmentations C Straehle, S Peter, U Köthe, FA Hamprecht Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 8 | 2013 |
| Weakly supervised learning of image partitioning using decision trees with structured split criteria C Straehle, U Koethe, FA Hamprecht Proceedings of the IEEE International Conference on Computer Vision, 1849-1856, 2013 | 6 | 2013 |
| Imitation learning by state-only distribution matching D Boborzi, CN Straehle, JS Buchner, L Mikelsons Applied Intelligence 53 (24), 30865-30886, 2023 | 5 | 2023 |
| Machine learnable system with conditional normalizing flow A Bhattacharyya, CN Straehle US Patent App. 16/919,955, 2021 | 5 | 2021 |
| Non-cooperative multi-agent systems with exploring agents J Etesami, CN Straehle arXiv preprint arXiv:2005.12360, 2020 | 4 | 2020 |
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergBestätigte E-Mail-Adresse bei iwr.uni-heidelberg.de
