Ullrich Köthe - Google Scholar

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	All	Since 2015
Citations	4215	2846
h-index	33	24
i10-index	66	51

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Co-authors

Fred A. HamprechtProfessor, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Bjoern AndresTU Dresden, University of TübingenVerified email at andres.sc
Anna KreshukGroup Leader, EMBL HeidelbergVerified email at embl.de
Graham KnottSenior Scientist, EPFLVerified email at epfl.ch
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Lynton ArdizzoneHeidelberg UniversityVerified email at iwr.uni-heidelberg.de
Christoph SommerIST AustriaVerified email at ist.ac.at
Winfried DenkMax PlanckVerified email at neuro.mpg.de
Marc KirchnerApple, Inc.Verified email at apple.com
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.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
Hans MeineUniversity of Bremen & Fraunhofer MEVISVerified email at hansmeine.de
Michael HanselmannSenior Manager (AI, Automated Driving), Robert Bosch GmbHVerified email at de.bosch.com
Xinghua Lou, Ph.D.Vicarious AIVerified email at vicarious.com
Carsten HauboldPhD Student, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Ron M.A. HeerenMaastricht University, FOM-AMOLFVerified email at maastrichtuniversity.nl
Constantin PapePhd-Candidate, University of HeidelbergVerified email at iwr.uni-heidelberg.de
Nasim RahamanMila, Montréal & Max-Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Jens KleesiekTranslational Image-guided Oncology, Institute for AI in Medicine (IKIM), University Hospital EssenVerified email at uni-due.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	872	2011
Edge and junction detection with an improved structure tensor U Köthe Joint Pattern Recognition Symposium, 25-32, 2003	204	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	200	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	164	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	132	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	127	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	121	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	108	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	95	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	91	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	87	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	80	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	79	2017
Integrated Edge and Junction Detection with the Boundary Tensor. U Köthe ICCV 3, 424-431, 2003	77	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	75	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	67	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	57	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	55	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	53	2012
Generische Programmierung für die Bildverarbeitung U Köthe BoD–Books on Demand, 2000	53	2000

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