| 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 | 1011 | 2011 |
| 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 | 307 | 2019 |
| 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 | 142 | 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 | 104 | 2013 |
| 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 | 76 | 2013 |
| Carving: scalable interactive segmentation of neural volume electron microscopy images CN Straehle, U Köthe, G Knott, FA Hamprecht International Conference on Medical Image Computing and Computer-Assisted …, 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 | 34 | 2011 |
| Conditional flow variational autoencoders for structured sequence prediction A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle arXiv preprint arXiv:1908.09008, 2019 | 31 | 2019 |
| 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 | 28 | 2012 |
| Biomedical imaging: from Nano to Macro C Sommer, C Straehle, U Kothe, FA Hamprecht 2011 IEEE International Symposium on 230, 233, 2011 | 11 | 2011 |
| K-smallest spanning tree segmentations C Straehle, S Peter, U Köthe, FA Hamprecht German Conference on Pattern Recognition, 375-384, 2013 | 9 | 2013 |
| Including multi-feature interactions and redundancy for feature ranking in mixed datasets AK Shekar, T Bocklisch, PI Sánchez, CN Straehle, E Müller Joint European conference on machine learning and knowledge discovery in …, 2017 | 8 | 2017 |
| 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 | 8 | 2014 |
| 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 |
| Haar wavelet based block autoregressive flows for trajectories A Bhattacharyya, CN Straehle, M Fritz, B Schiele DAGM German Conference on Pattern Recognition, 275-288, 2020 | 4 | 2020 |
| Learning game-theoretic models of multiagent trajectories using implicit layers P Geiger, CN Straehle arXiv preprint arXiv:2008.07303, 2020 | 3 | 2020 |
| Non-cooperative multi-agent systems with exploring agents J Etesami, CN Straehle arXiv preprint arXiv:2005.12360, 2020 | 2 | 2020 |
| Method and device for controlling a robot CN Straehle, SJ Etesami US Patent App. 17/156,156, 2021 | | 2021 |
| Training and data synthesis and probability inference using nonlinear conditional normalizing flow model A Bhattacharyya, CN Straehle US Patent App. 16/922,748, 2021 | | 2021 |
| Machine learnable system with conditional normalizing flow A Bhattacharyya, CN Straehle US Patent App. 16/919,955, 2021 | | 2021 |
Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
