Ullrich Köthe
Ullrich Köthe
Adjunct Professor of Computer Science, University of Heidelberg
Verified email at iwr.uni-heidelberg.de
Cited by
Cited by
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
Edge and junction detection with an improved structure tensor
U Köthe
Joint Pattern Recognition Symposium, 25-32, 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
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
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
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
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
Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras
M Frank, M Plaue, H Rapp, U Koethe, B Jähne, FA Hamprecht
Optical Engineering 48 (1), 013602, 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
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
Analyzing inverse problems with invertible neural networks
L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ...
arXiv preprint arXiv:1808.04730, 2018
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
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
Integrated Edge and Junction Detection with the Boundary Tensor.
U Köthe
ICCV 3, 424-431, 2003
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, 2015
Ilastik: interactive machine learning for (bio) image analysis
S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ...
Nature Methods, 1-7, 2019
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
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
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
Generische Programmierung für die Bildverarbeitung
U Köthe
BoD–Books on Demand, 2000
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