Vladimir Golkov

发表

FlowNet: Learning Optical Flow with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, Patrick van der Smagt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

3D Deep Learning for Biological Function Prediction from Physical Fields

Marcin J. Skwark, Daniel Cremers, Jens Meiler, 2017, 2020 International Conference on 3D Vision (3DV).

Evaluation of DSI Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom

Christopher J. Hardy, Luca Marinelli, Tim Sprenger, 2012 .

q-Space Novelty Detection with Variational Autoencoders pdf

Daniel Cremers, Derek K. Jones, Valentina Tomassini, 2018, Computational Diffusion MRI.

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans

Daniel Cremers, Thomas Brox, Pedro A. Gómez, 2015, MICCAI.

Learning to Evolve pdf

Daniel Cremers, Vladimir Golkov, Jan Schuchardt, 2019, ArXiv.

q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis

Franz Pfeiffer, Derek K. Jones, Derek K. Jones, 2018 .

Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate

Daniel Cremers, Luca Marinelli, Tim Sprenger, 2014 .

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images

Marcin J. Skwark, Daniel Cremers, Thomas Brox, 2016, NIPS.

Speech Synthesis and Control Using Differentiable DSP pdf

Daniel Cremers, Thomas Kemp, Vladimir Golkov, 2020, ArXiv.

Precursor microRNA Identification Using Deep Convolutional Neural Networks

Daniel Cremers, Vladimir Golkov, Binh Thanh Do, 2018, bioRxiv.

Using Diffusion and Structural MRI for the Automated Segmentation of Multiple Sclerosis Lesions

Pedro A. Gómez, Marion I. Menzel, Bjoern H. Menze, 2015 .

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

Jens Meiler, Daniel Cremers, Alexander Becker, 2020, bioRxiv.

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans

Daniel Cremers, Thomas Brox, Jonathan Sperl, 2016, IEEE Transactions on Medical Imaging.

Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients

Daniel Cremers, Burkhard Rost, Fridtjof Nüsslin, 2017 .

Model-free novelty-based diffusion MRI

Daniel Cremers, Jonathan Sperl, Marion I. Menzel, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Associative Deep Clustering: Training a Classification Network with No Labels

Daniel Cremers, Philip Häusser, Elie Aljalbout, 2018, GCPR.

Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing

Christopher J. Hardy, Marion I. Menzel, Luca Marinelli, 2013 .

Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods pdf

Daniel Cremers, Yue Zhu, Luca Della Libera, 2019, ArXiv.

Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework

Christopher J. Hardy, Marion I. Menzel, Luca Marinelli, 2012 .

Holistic Image Reconstruction for Diffusion MRI

Daniel Cremers, Remco Duits, Jorg M. Portegies, 2016 .

Clustering with Deep Learning: Taxonomy and New Methods pdf

Daniel Cremers, Elie Aljalbout, Vladimir Golkov, 2018, ArXiv.

Regularization for Deep Learning: A Taxonomy pdf

Daniel Cremers, Jan Kukacka, Vladimir Golkov, 2017, ArXiv.

Deep learning and variational analysis for high-dimensional and geometric biomedical data

Vladimir Golkov, 2021 .

Scene Graph Generation for Better Image Captioning? pdf

Daniel Cremers, Hinrich Schütze, Maximilian Mozes, 2021, ArXiv.

Rotation-Equivariant Deep Learning for Diffusion MRI pdf

Daniel Cremers, Valentina Tomassini, Vladimir Golkov, 2021, ArXiv.

Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization

Daniel Cremers, Marion I. Menzel, Tim Sprenger, 2014 .

Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing

Daniel Cremers, Marion I. Menzel, Tim Sprenger, 2014 .

Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution

Marion I. Menzel, Luca Marinelli, Tim Sprenger, 2012 .

Bias and precision analysis of diffusional kurtosis imaging for different acquisition schemes

Christopher J Hardy, Luca Marinelli, Tim Sprenger, 2016, Magnetic resonance in medicine.

Deep Learning for Alzheimer ’ s Disease Diagnosis : Global Prediction and Weakly-Supervised Localization

Daniel Cremers, Alexander Leemans, Chantal M. W. Tax, 2017 .

Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images

Daniel Cremers, Marion I. Menzel, Tim Sprenger, 2014 .

Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging

Christopher J. Hardy, Marion I. Menzel, Luca Marinelli, 2015 .