Vladimir Golkov
Cited by
Cited by
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
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
Regularization for deep learning: A taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 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
Clustering with deep learning: Taxonomy and new methods
E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers
arXiv preprint arXiv:1801.07648, 2018
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
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
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
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
Rotation-equivariant deep learning for diffusion MRI
P Müller, V Golkov, V Tomassini, D Cremers
arXiv preprint arXiv:2102.06942, 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
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
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
Precursor microRNA identification using deep convolutional neural networks
BT Do, V Golkov, GE Gürel, D Cremers
BioRxiv, 414656, 2018
Speech synthesis and control using differentiable DSP
G Fabbro, V Golkov, T Kemp, D Cremers
arXiv preprint arXiv:2010.15084, 2020
Learning to evolve
J Schuchardt, V Golkov, D Cremers
arXiv preprint arXiv:1905.03389, 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
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
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
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: MICCAI Workshop, Boston, MA, USA, September …, 2014
The system can't perform the operation now. Try again later.
Articles 1–20