Vladimir Golkov
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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
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
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
Regularization for deep learning: A taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 2017
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), 1-9, 2019
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
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, 4222-4230, 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
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
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
Precursor microRNA identification using deep convolutional neural networks
BT Do, V Golkov, GE Gürel, D Cremers
BioRxiv, 414656, 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, ...
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018
Rotation-equivariant deep learning for diffusion MRI
P Müller, V Golkov, V Tomassini, D Cremers
arXiv preprint arXiv:2102.06942, 2021
Negative-unlabeled learning for diffusion MRI
P Swazinna, V Golkov, I Lipp, E Sgarlata, V Tomassini, DK Jones, ...
Proceedings of the 27th Annual Meeting of the International Society for …, 2019
Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing
M Naeyaert, J Aelterman, J Van Audekerke, V Golkov, D Cremers, ...
Magnetic Resonance in Medicine 85 (3), 1397-1413, 2021
Speech Synthesis and Control Using Differentiable DSP
G Fabbro, V Golkov, T Kemp, D Cremers
arXiv preprint arXiv:2010.15084, 2020
q-space novelty detection in short diffusion MRI scans of multiple sclerosis
V Golkov, A Vasilev, F Pasa, I Lipp, W Boubaker, E Sgarlata, F Pfeiffer, ...
Proceedings of the 26th Annual Meeting of the International Society for …, 2018
Holistic image reconstruction for diffusion MRI
V Golkov, JM Portegies, A Golkov, R Duits, D Cremers
Computational Diffusion MRI, 27-39, 2016
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