Vladimir Golkov

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Daniel CremersTechnical University of MunichVerified email at tum.de
Alexey DosovitskiyInceptiveVerified email at inceptive.team
Thomas BroxUniversity of FreiburgVerified email at cs.uni-freiburg.de
Philip HaeusserCTO Ablacon, Inc. (now Cortex, Inc.)Verified email at ablacon.com
Philipp FischerUniversity of FreiburgVerified email at phil.fm
Patrick van der SmagtVolkswagen AG; ELTE UniversityVerified email at tum.de
Eddy IlgProfessor at the University of Technology NurembergVerified email at cs.uni-saarland.de
Caner HazirbasMetaVerified email at meta.com
Elie AljalboutPostdoctoral researcher at UZH and ETH ZurichVerified email at tum.de
Franz PfeifferProfessor for Physics, Technical University of MunichVerified email at tum.de
Jan KukačkaZEISS Industrial Quality SolutionsVerified email at zeiss.com
Valentina TomassiniFull Professor, Dept of Neuroscience, Imaging and Clinical Sciences, School of MedicineVerified email at unich.it
Daniela PfeifferProfessor of Radiology, Technische Universität MünchenVerified email at tum.de
Yawar SiddiquiPhD Candidate, Visual Computing and AI Chair, Technical University of MunichVerified email at tum.de
Jens MeilerVanderbilt University & University LeipzigVerified email at meilerlab.org
Professor Derek K JonesDirector, CUBRIC, School of Psychology, Cardiff UniversityVerified email at cf.ac.uk
Ilona LippResearch Associate, Cardiff UniversityVerified email at cf.ac.uk
Marcin J. SkwarkBioinformatics Lead, InstaDeepVerified email at skwark.pl
Andreas K. MaierUniversity of Erlangen-NurembergVerified email at fau.de
Moritz ZaissPh.D.Verified email at tuebingen.mpg.de

Vladimir Golkov

Technical University of Munich

Verified email at tum.de - Homepage

Deep Learning Life Sciences


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Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE international conference on computer vision, 2758-2766, 2015	4634	2015
Flownet: Learning optical flow with convolutional networks P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ... arXiv preprint arXiv:1504.06852, 2015	748	2015
Regularization for deep learning: A taxonomy J Kukačka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 2017	522	2017
Efficient deep network architectures for fast chest X-ray tuberculosis screening and visualization F Pasa, V Golkov, F Pfeiffer, D Cremers, D Pfeiffer Scientific reports 9 (1), 6268, 2019	364	2019
q-Space deep learning: twelve-fold shorter and model-free diffusion MRI scans V Golkov, A Dosovitskiy, JI Sperl, MI Menzel, M Czisch, P Sämann, T Brox, ... IEEE transactions on medical imaging 35 (5), 1344-1351, 2016	364	2016
Clustering with deep learning: Taxonomy and new methods E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers arXiv preprint arXiv:1801.07648, 2018	334	2018
Associative deep clustering: Training a classification network with no labels P Haeusser, J Plapp, V Golkov, E Aljalbout, D Cremers Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019	149	2019
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images V Golkov, MJ Skwark, A Golkov, A Dosovitskiy, T Brox, J Meiler, ... Advances in Neural Information Processing Systems 29, 2016	53	2016
q-Space novelty detection with variational autoencoders A Vasilev, V Golkov, M Meissner, I Lipp, E Sgarlata, V Tomassini, ... Computational Diffusion MRI, 113-124, 2020	32	2020
Rotation-equivariant deep learning for diffusion MRI P Müller, V Golkov, V Tomassini, D Cremers arXiv preprint arXiv:2102.06942, 2021	29	2021
3D deep learning for biological function prediction from physical fields V Golkov, MJ Skwark, A Mirchev, G Dikov, AR Geanes, J Mendenhall, ... 2020 International Conference on 3D Vision (3DV), 928-937, 2020	20	2020
Regularization for deep learning: a taxonomy. 2017 J Kukacka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 1-23, 2021	18	2021
Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes T Sprenger, JI Sperl, B Fernandez, V Golkov, I Eidner, PG Sämann, ... Magnetic resonance in medicine 76 (6), 1684-1696, 2016	17	2016
Deep learning in attosecond metrology C Brunner, A Duensing, C Schröder, M Mittermair, V Golkov, M Pollanka, ... Optics Express 30 (9), 15669-15684, 2022	15	2022
Speech synthesis and control using differentiable DSP G Fabbro, V Golkov, T Kemp, D Cremers arXiv preprint arXiv:2010.15084, 2020	15	2020
Precursor microRNA identification using deep convolutional neural networks BT Do, V Golkov, GE Gürel, D Cremers BioRxiv, 414656, 2018	15	2018
Model-free novelty-based diffusion MRI V Golkov, T Sprenger, J Sperl, M Menzel, M Czisch, P Samann, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1233-1236, 2016	15	2016
Clustering with deep learning: Taxonomy and new methods. arXiv 2018 E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers arXiv preprint arXiv:1801.07648, 0	11
Learning to evolve J Schuchardt, V Golkov, D Cremers arXiv preprint arXiv:1905.03389, 2019	10	2019
q-Space novelty detection with variational autoencoders. arXiv A Vasilev, V Golkov, M Meissner, I Lipp, E Sgarlata, V Tomassini, ... arXiv preprint arXiv:1806.02997, 2018	6	2018

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