Ullrich Köthe

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Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Lynton ArdizzoneHeidelberg UniversityVerified email at iwr.uni-heidelberg.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Bjoern AndresTU DresdenVerified email at andres.sc
Anna KreshukGroup Leader, EMBL HeidelbergVerified email at embl.de
Thorsten BeierQuality MatchVerified email at quality-match.com
Graham KnottSenior Scientist, EPFLVerified email at epfl.ch
Christoph SommerIST AustriaVerified email at ist.ac.at
Jakob KruseVisual Learning Lab, Heidelberg University (HCI/IWR)Verified email at iwr.uni-heidelberg.de
Martin SchieggResearch Scientist, Bosch Center for AIVerified email at bosch.com
Peer StelldingerProfessor of Theoretical Computer Science, Computer Vision and Machine LearningVerified email at haw-hamburg.de
Winfried DenkMax PlanckVerified email at neuro.mpg.de
Bernhard RenardHasso Plattner InstituteVerified email at hpi.de
Marc KirchnerApple, Inc.Verified email at apple.com
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.de
Carsten HauboldPhD Student, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Lena Maier-HeinProfessor, German Cancer Research CenterVerified email at dkfz.de
Stuart BergJanelia Research CampusVerified email at janelia.hhmi.org
Hans MeineUniversity of Bremen & Fraunhofer MEVISVerified email at hansmeine.de

Ullrich Köthe

Adjunct Professor of Computer Science, University of Heidelberg

Verified email at iwr.uni-heidelberg.de

Image Analysis Machine Learning Scientific Software


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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	309	2019
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	238	2011
Edge and junction detection with an improved structure tensor U Köthe Joint Pattern Recognition Symposium, 25-32, 2003	214	2003
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	205	2012
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	189	2018
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	158	2014
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
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	132	2008
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	120	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	112	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	107	2011
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	99	2017
Toward digital staining using imaging mass spectrometry and random forests M Hanselmann, U Kothe, M Kirchner, BY Renard, ER Amstalden, ... Journal of proteome research 8 (7), 3558-3567, 2009	88	2009
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	86	2015
Integrated Edge and Junction Detection with the Boundary Tensor. U Köthe ICCV 3, 424-431, 2003	82	2003
Guided image generation with conditional invertible neural networks L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe arXiv preprint arXiv:1907.02392, 2019	78	2019
DALSA: domain adaptation for supervised learning from sparsely annotated MR images M Goetz, C Weber, F Binczyk, J Polanska, R Tarnawski, ... IEEE transactions on medical imaging 35 (1), 184-196, 2015	67	2015
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	63	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	58	2014

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