Vladimir Golkov

Vladimir Golkov

Technische Universität München

H-index: 14

Europe-Germany

About Vladimir Golkov

Vladimir Golkov, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Deep Learning, Life Sciences.

His recent articles reflect a diverse array of research interests and contributions to the field:

Joint sequence optimization beats pure neural network approaches for super-resolution TSE

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant: GPT4MR

GPT4MR: Exploring GPT-4 as an MR sequence and reconstruction programming assistant

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

Scale-equivariant deep learning for 3D data

A data-driven variability assessment of brain diffusion MRI preprocessing pipelines

Deep learning in attosecond metrology

Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing

Vladimir Golkov Information

University

Position

___

Citations(all)

6489

Citations(since 2020)

5404

Cited By

3296

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Vladimir Golkov Skills & Research Interests

Deep Learning

Life Sciences

Top articles of Vladimir Golkov

Title

Journal

Author(s)

Publication Date

Joint sequence optimization beats pure neural network approaches for super-resolution TSE

HN Dang

V Golkov

J Endres

S Weinmüller

F Glang

...

2024/5

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant: GPT4MR

Moritz Zaiss

Junaid R Rajput

Hoai N Dang

Vladimir Golkov

Daniel Cremers

...

2024/2/20

GPT4MR: Exploring GPT-4 as an MR sequence and reconstruction programming assistant

M Zaiss

HN Dang

V Golkov

JR Rajput

D Cremers

...

2023/9

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

arXiv preprint arXiv:2305.07524

Hoai Nam Dang

Vladimir Golkov

Thomas Wimmer

Daniel Cremers

Andreas Maier

...

2023/5/12

Scale-equivariant deep learning for 3D data

arXiv preprint arXiv:2304.05864

Thomas Wimmer

Vladimir Golkov

Hoai Nam Dang

Moritz Zaiss

Andreas Maier

...

2023/4/12

A data-driven variability assessment of brain diffusion MRI preprocessing pipelines

Proceedings of the Joint Annual ISMRM-ESMRMB Meeting

Jelle Veraart

Daan Christiaens

Erpeng Dai

Luke J Edwards

Vladimir Golkov

...

2022/5/12

Deep learning in attosecond metrology

Optics Express

Christian Brunner

Andreas Duensing

Christian Schröder

Michael Mittermair

Vladimir Golkov

...

2022/4/25

Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing

Magnetic Resonance in Medicine

Maarten Naeyaert

Jan Aelterman

Johan Van Audekerke

Vladimir Golkov

Daniel Cremers

...

2021/3

Rotation-equivariant deep learning for diffusion MRI

arXiv preprint arXiv:2102.06942

Philip Müller

Vladimir Golkov

Valentina Tomassini

Daniel Cremers

2021/2/13

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

Vladimir Golkov

2021

Faster and better HARDI using FSE and holistic reconstruction

Maarten Naeyaert

Vladimir Golkov

Daniel Cremers

Jan Sijbers

Marleen Verhoye

2021

Scene graph generation for better image captioning?

arXiv preprint arXiv:2109.11398

Maximilian Mozes

Martin Schmitt

Vladimir Golkov

Hinrich Schütze

Daniel Cremers

2021/9/23

Speech synthesis and control using differentiable DSP

arXiv preprint arXiv:2010.15084

Giorgio Fabbro

Vladimir Golkov

Thomas Kemp

Daniel Cremers

2020/10/28

Deep learning for virtual screening: five reasons to use ROC cost functions

arXiv preprint arXiv:2007.07029

Vladimir Golkov

Alexander Becker

Daniel T Plop

Daniel Čuturilo

Neda Davoudi

...

2020/6/25

q-Space novelty detection with variational autoencoders

Aleksei Vasilev

Vladimir Golkov

Marc Meissner

Ilona Lipp

Eleonora Sgarlata

...

2020

3D deep learning for biological function prediction from physical fields

Vladimir Golkov

Marcin J Skwark

Atanas Mirchev

Georgi Dikov

Alexander R Geanes

...

2020/11/25

See List of Professors in Vladimir Golkov University(Technische Universität München)

Co-Authors

H-index: 117
Daniel Cremers

Daniel Cremers

Technische Universität München

H-index: 101
Thomas Brox

Thomas Brox

Albert-Ludwigs-Universität Freiburg

H-index: 82
Professor Derek K Jones

Professor Derek K Jones

Cardiff University

H-index: 82
Franz Pfeiffer

Franz Pfeiffer

Technische Universität München

H-index: 36
Daniela Pfeiffer

Daniela Pfeiffer

Technische Universität München

H-index: 14
Jeffrey Mendenhall

Jeffrey Mendenhall

Vanderbilt University

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