Ullrich Köthe

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Fred A. HamprechtProfessor, Heidelberg UniversityAdresse e-mail validée de iwr.uni-heidelberg.de
Lynton ArdizzoneHeidelberg UniversityAdresse e-mail validée de iwr.uni-heidelberg.de
Carsten RotherProfessor Uni Heidelberg / GermanyAdresse e-mail validée de iwr.uni-heidelberg.de
Christoph-Nikolas StraehleResearch Scientist, Bosch Center for Artificial IntelligenceAdresse e-mail validée de de.bosch.com
Anna KreshukGroup Leader, EMBL HeidelbergAdresse e-mail validée de embl.de
Thorsten BeierQuantStackAdresse e-mail validée de quantstack.net
Stefan T. RadevAssistant Professor, Rensselaer Polytechnic InstituteAdresse e-mail validée de rpi.edu
Bjoern AndresTU DresdenAdresse e-mail validée de andres.sc
Jakob KruseBürgerwerke eGAdresse e-mail validée de iwr.uni-heidelberg.de
Martin SchieggResearch Scientist, Bosch Center for AIAdresse e-mail validée de bosch.com
Ralf KlessenHeidelberg UniversityAdresse e-mail validée de uni-heidelberg.de
Carsten HauboldPhD Student, University of HeidelbergAdresse e-mail validée de iwr.uni-heidelberg.de
Graham KnottSenior Scientist, EPFLAdresse e-mail validée de epfl.ch
Lena Maier-HeinProfessor, German Cancer Research CenterAdresse e-mail validée de dkfz.de
Stuart BergJanelia Research CampusAdresse e-mail validée de janelia.hhmi.org
Bernhard X. KauslerAdresse e-mail validée de kausler.net
Paul-Christian BürknerFull Professor of Computational Statistics, TU Dortmund UniversityAdresse e-mail validée de tu-dortmund.de
Peer StelldingerProfessor of Theoretical Computer Science, Computer Vision and Machine LearningAdresse e-mail validée de haw-hamburg.de
Christoph SommerIST AustriaAdresse e-mail validée de ist.ac.at
Bernhard RenardHasso Plattner InstituteAdresse e-mail validée de hpi.de

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Ullrich Köthe

Adjunct Professor of Computer Science, University of Heidelberg

Adresse e-mail validée de iwr.uni-heidelberg.de

Image Analysis Machine Learning Scientific Software


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2022	2019
Ilastik: Interactive learning and segmentation toolkit C Sommer, C Straehle, U Köthe, FA Hamprecht International Symposium on Biomedical Imaging (ISBI 2011), 230-233, 2011	1419	2011
Analyzing inverse problems with invertible neural networks L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ... International Conference on Learning Representations (ICLR 2019), 2018	643	2018
Guided image generation with conditional invertible neural networks L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe arXiv preprint arXiv:1907.02392, 2019	379*	2019
On oblique random forests BH Menze, BM Kelm, DN Splitthoff, U Köthe, FA Hamprecht Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	335	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	274	2012
Edge and junction detection with an improved structure tensor U Köthe Joint Pattern Recognition Symposium, 25-32, 2003	243	2003
BayesFlow: Learning complex stochastic models with invertible neural networks ST Radev, UK Mertens, A Voss, L Ardizzone, U Köthe IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1452-1466, 2020	229	2020
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	180	2017
Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images A Kreshuk, CN Straehle, C Sommer, U Köthe, M Cantoni, G Knott, ... PloS one 6 (10), e24899, 2011	166	2011
Can virtual contrast enhancement in brain MRI replace gadolinium?: a feasibility study J Kleesiek, JN Morshuis, F Isensee, K Deike-Hofmann, D Paech, ... Investigative radiology 54 (10), 653-660, 2019	153	2019
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), 013602-013602-16, 2009	144	2009
Disentanglement by nonlinear ICA with general incompressible-flow networks (GIN) P Sorrenson, C Rother, U Köthe International Conference on Learning Representations (ICLR 2020), 2020	139	2020
Segmentation of SBFSEM volume data of neural tissue by hierarchical classification B Andres, U Köthe, M Helmstaedter, W Denk, FA Hamprecht Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 …, 2008	136	2008
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	128	2011
Globally optimal closed-surface segmentation for connectomics B Andres, T Kroeger, KL Briggman, W Denk, N Korogod, G Knott, U Köthe, ... Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	119	2012
Invertible networks or partons to detector and back again M Bellagente, A Butter, G Kasieczka, T Plehn, A Rousselot, ... SciPost Physics 9 (5), 074, 2020	116	2020
Graphical model for joint segmentation and tracking of multiple dividing cells M Schiegg, P Hanslovsky, C Haubold, U Köthe, L Hufnagel, ... Bioinformatics 31 (6), 948-956, 2015	114	2015
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	113	2015
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	109	2009

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