Vladimir Golkov

According to our database1, Vladimir Golkov authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
How to Choose a Reinforcement-Learning Algorithm.
CoRR, 2024

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution.
CoRR, 2023

Scale-Equivariant Deep Learning for 3D Data.
CoRR, 2023

2021
Deep learning and variational analysis for high-dimensional and geometric biomedical data.
PhD thesis, 2021

Scene Graph Generation for Better Image Captioning?
CoRR, 2021

Rotation-Equivariant Deep Learning for Diffusion MRI.
CoRR, 2021

2020
Speech Synthesis and Control Using Differentiable DSP.
CoRR, 2020

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions.
CoRR, 2020

3D Deep Learning for Biological Function Prediction from Physical Fields.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods.
CoRR, 2019

Learning to Evolve.
CoRR, 2019

2018
q-Space Novelty Detection with Variational Autoencoders.
CoRR, 2018

Clustering with Deep Learning: Taxonomy and New Methods.
CoRR, 2018

Associative Deep Clustering: Training a Classification Network with No Labels.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Regularization for Deep Learning: A Taxonomy.
CoRR, 2017

2016
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
IEEE Trans. Medical Imaging, 2016

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Model-free novelty-based diffusion MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

FlowNet: Learning Optical Flow with Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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