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
Clustering with deep learning: Taxonomy and new methods
E Aljalbout, V Golkov, Y Siddiqui, M Strobel, D Cremers
arXiv preprint arXiv:1801.07648, 2018
Regularization for deep learning: A taxonomy
J Kukačka, V Golkov, D Cremers
arXiv preprint arXiv:1710.10686, 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), 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, ...
NIPS, 4215-4223, 2016
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
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
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
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
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, ...
Proceedings of the 27th Annual Meeting of ISMRM, Paris, France 1580, 2018
Precursor microRNA identification using deep convolutional neural networks
BT Do, V Golkov, GE Gürel, D Cremers
BioRxiv, 414656, 2018
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
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
Direct reconstruction of the average diffusion propagator with simultaneous compressed-sensingaccelerated diffusion spectrum imaging and image denoising by means of total …
V Golkov, MI Menzel, T Sprenger, M Souiai, A Haase, D Cremers, JI Sperl
Proceedings of Joint Annual Meeting ISMRM-ESMRMB, Milan, Italy, 10-16, 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, 181-191, 2014
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