| 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 | 724 | 2011 |
| Edge and junction detection with an improved structure tensor U Köthe Joint Pattern Recognition Symposium, 25-32, 2003 | 194 | 2003 |
| On oblique random forests BH Menze, BM Kelm, DN Splitthoff, U Koethe, FA Hamprecht Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 170 | 2011 |
| Learning to count with regression forest and structured labels L Fiaschi, U Köthe, R Nair, FA Hamprecht Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 134 | 2012 |
| 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 | 128 | 2011 |
| Segmentation of SBFSEM volume data of neural tissue by hierarchical classification B Andres, U Köthe, M Helmstaedter, W Denk, FA Hamprecht Joint Pattern Recognition Symposium, 142-152, 2008 | 118 | 2008 |
| Fast and accurate image matching with cascade hashing for 3d reconstruction J Cheng, C Leng, J Wu, H Cui, H Lu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 111 | 2014 |
| Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras M Frank, M Plaue, H Rapp, U Köthe, B Jähne, FA Hamprecht Optical Engineering 48 (1), 013602, 2009 | 105 | 2009 |
| Globally optimal closed-surface segmentation for connectomics B Andres, T Kroeger, KL Briggman, W Denk, N Korogod, G Knott, ... European Conference on Computer Vision, 778-791, 2012 | 84 | 2012 |
| 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 | 83 | 2011 |
| Integrated Edge and Junction Detection with the Boundary Tensor. U Köthe ICCV 3, 424-431, 2003 | 76 | 2003 |
| Toward digital staining using imaging mass spectrometry and random forests M Hanselmann, U Köthe, M Kirchner, BY Renard, ER Amstalden, ... Journal of proteome research 8 (7), 3558-3567, 2009 | 72 | 2009 |
| 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, 2017 | 66 | 2017 |
| Graphical model for joint segmentation and tracking of multiple dividing cells M Schiegg, P Hanslovsky, C Haubold, U Koethe, L Hufnagel, ... Bioinformatics 31 (6), 948-956, 2014 | 65 | 2014 |
| 3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries B Andres, U Koethe, T Kroeger, M Helmstaedter, KL Briggman, W Denk, ... Medical image analysis 16 (4), 796-805, 2012 | 53 | 2012 |
| Learning to segment dense cell nuclei with shape prior X Lou, U Koethe, J Wittbrodt, FA Hamprecht 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1012-1018, 2012 | 52 | 2012 |
| Generische Programmierung für die Bildverarbeitung U Köthe BoD–Books on Demand, 2000 | 52 | 2000 |
| Riesz-transforms versus derivatives: On the relationship between the boundary tensor and the energy tensor U Köthe, M Felsberg International Conference on Scale-Space Theories in Computer Vision, 179-191, 2005 | 51 | 2005 |
| Automated detection of synapses in serial section transmission electron microscopy image stacks A Kreshuk, U Koethe, E Pax, DD Bock, FA Hamprecht PloS one 9 (2), e87351, 2014 | 49 | 2014 |
| Reusable software in computer vision U Köthe Handbook of Computer Vision and Applications 3, 103-132, 1999 | 47 | 1999 |
Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
