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Vladimir Golkov
Vladimir Golkov
Technical University of Munich
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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
27902015
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
5482015
Regularization for deep learning: A taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 2017
2492017
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
2292016
Clustering with deep learning: Taxonomy and new methods
E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers
arXiv preprint arXiv:1801.07648, 2018
2032018
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), 1-9, 2019
1862019
Associative deep clustering: Training a classification network with no labels
P Haeusser, J Plapp, V Golkov, E Aljalbout, D Cremers
German Conference on Pattern Recognition, 18-32, 2018
882018
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
392016
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
192020
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
142020
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
142016
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
122016
Precursor microRNA identification using deep convolutional neural networks
BT Do, V Golkov, GE Gürel, D Cremers
BioRxiv, 414656, 2018
112018
Rotation-equivariant deep learning for diffusion MRI
P Müller, V Golkov, V Tomassini, D Cremers
arXiv preprint arXiv:2102.06942, 2021
72021
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
42018
q-Space deep learning for Alzheimer’s disease diagnosis: Global prediction and weakly-supervised localization
V Golkov, P Swazinna, MM Schmitt, QA Khan, CMW Tax, M Serahlazau, ...
Proc. 27th Annu. Meeting ISMRM 1580, 2018
42018
Speech synthesis and control using differentiable DSP
G Fabbro, V Golkov, T Kemp, D Cremers
arXiv preprint arXiv:2010.15084, 2020
32020
Negative-unlabeled learning for diffusion MRI
P Swazinna, V Golkov, I Lipp, E Sgarlata, V Tomassini, DK Jones, ...
Proc. Intl. Soc. Mag. Reson. Med 27, 3480, 2019
32019
Total-variation-regularized compressed sensing reconstruction for multi-shell diffusion kurtosis imaging
JI Sperl, T Sprenger, ET Tan, V Golkov, MI Menzel, CJ Hardy, L Marinelli
Proc. Int. Soc. Mag. Reson. Med 22, 4465, 2014
32014
Joint super-resolution using only one anisotropic low-resolution image per q-space coordinate
V Golkov, JI Sperl, MI Menzel, T Sprenger, ET Tan, L Marinelli, CJ Hardy, ...
Computational Diffusion MRI, 181-191, 2014
32014
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