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
Peer StelldingerProfessor of Theoretical Computer Science, Computer Vision and Machine LearningVerified email at haw-hamburg.de
Martin SchieggResearch Scientist, Bosch Center for AIVerified email at bosch.com
Jakob KruseVisual Learning Lab, Heidelberg University (HCI/IWR)Verified email at iwr.uni-heidelberg.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
Hans MeineUniversity of Bremen & Fraunhofer MEVISVerified email at hansmeine.de
Michael HanselmannSenior Manager (AI, Automated Driving), Robert Bosch GmbHVerified email at de.bosch.com

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	1000	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	290	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	202	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	178	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	156	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	141	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	84	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	71	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	66	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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