Vladimir Golkov

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Daniel CremersTechnical University of MunichPatvirtintas el. paštas tum.de
Alexey DosovitskiyInceptivePatvirtintas el. paštas inceptive.team
Thomas BroxUniversity of FreiburgPatvirtintas el. paštas cs.uni-freiburg.de
Philip HaeusserCTO Ablacon, Inc. (now Cortex, Inc.)Patvirtintas el. paštas ablacon.com
Philipp FischerUniversity of FreiburgPatvirtintas el. paštas phil.fm
Patrick van der SmagtELTE UniversityPatvirtintas el. paštas tum.de
Eddy IlgProfessor at the University of Technology NurembergPatvirtintas el. paštas cs.uni-saarland.de
Caner HazirbasMetaPatvirtintas el. paštas meta.com
Elie AljalboutPostdoctoral researcher at UZH and ETH ZurichPatvirtintas el. paštas tum.de
Franz PfeifferProfessor for Physics, Technical University of MunichPatvirtintas el. paštas tum.de
Jan KukačkaZEISS Industrial Quality SolutionsPatvirtintas el. paštas zeiss.com
Valentina TomassiniFull Professor, Dept of Neuroscience, Imaging and Clinical Sciences, School of MedicinePatvirtintas el. paštas unich.it
Daniela PfeifferProfessor of Radiology, Technische Universität MünchenPatvirtintas el. paštas tum.de
Yawar SiddiquiPhD Candidate, Visual Computing and AI Chair, Technical University of MunichPatvirtintas el. paštas tum.de
Jens MeilerVanderbilt University & University LeipzigPatvirtintas el. paštas meilerlab.org
Professor Derek K JonesDirector, CUBRIC, School of Psychology, Cardiff UniversityPatvirtintas el. paštas cf.ac.uk
Ilona LippResearch Associate, Cardiff UniversityPatvirtintas el. paštas cf.ac.uk
Marcin J. SkwarkBioinformatics Lead, InstaDeepPatvirtintas el. paštas skwark.pl
Andreas K. MaierFriedrich-Alexander-Universität Erlangen-NürnbergPatvirtintas el. paštas fau.de
Moritz ZaissPh.D.Patvirtintas el. paštas tuebingen.mpg.de

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Vladimir Golkov

Technical University of Munich

Patvirtintas el. paštas tum.de - Pagrindinis puslapis

Deep Learning Life Sciences


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	4760	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	750	2015
Regularization for deep learning: A taxonomy J Kukačka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 2017	539	2017
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	391	2016
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	381	2019
Clustering with deep learning: Taxonomy and new methods E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers arXiv preprint arXiv:1801.07648, 2018	351	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	153	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
Rotation-equivariant deep learning for diffusion MRI P Müller, V Golkov, V Tomassini, D Cremers arXiv preprint arXiv:2102.06942, 2021	34	2021
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	34	2020
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	22	2020
Regularization for deep learning: a taxonomy. 2017 J Kukacka, V Golkov, D Cremers arXiv preprint arXiv:1710.10686, 1-23, 2021	19	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	16	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
Scene graph generation for better image captioning? M Mozes, M Schmitt, V Golkov, H Schütze, D Cremers arXiv preprint arXiv:2109.11398, 2021	8	2021

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