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Editorial: Generative adversarial networks in cardiovascular research

Abstract:: EDITORIAL article Front. Cardiovasc. Med., 23 October 2023Sec. Cardiovascular Imaging Volume 10 - 2023 | https://doi.org/10.3389/fcvm.2023.1307812.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Zhang, Q., Cukur, T., Greenspan, H., & Yang, G. (2023). Editorial: Generative adversarial networks in cardiovascular research. Frontiers in Cardiovascular Medicine, 10, 1307812–1307812.

MLA Style

Zhang, Q, et al. “Editorial: Generative Adversarial Networks in Cardiovascular Research.” Frontiers in Cardiovascular Medicine, vol. 10, 2023, pp. 1307812–12.

Chicago Style

Zhang, Q, T Cukur, H Greenspan, and G Yang. 2023. “Editorial: Generative Adversarial Networks in Cardiovascular Research.” Frontiers in Cardiovascular Medicine 10: 1307812–12.
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Files:: Zhang_et_al_2023_Editorial_Generative_adversarial.pdf

(Preview, Version of record, pdf, 148.3KB, Terms of use)

Publisher copy:: 10.3389/fcvm.2023.1307812

Authors

+ Zhang, Q More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Radcliffe Department of Medicine
Sub department:: RDM-Strategic
Role:: Author
ORCID:: 0000-0003-3385-1242

+ Cukur, T More by this author

Role:: Author
ORCID:: 0000-0002-2296-851X

+ Greenspan, H More by this author

Role:: Author
ORCID:: 0000-0001-6908-7552

+ Yang, G More by this author

Role:: Author
ORCID:: 0000-0001-7344-7733

Publisher:: Frontiers Media
Journal:: Frontiers in Cardiovascular Medicine More from this journal
Volume:: 10
Pages:: 1307812-1307812
Article number:: 1307812
Publication date:: 2023-10-23
DOI:: 10.3389/fcvm.2023.1307812
EISSN:: 2297-055X
ISSN:: 2297-055X

Language:: English
Keywords:: Computer science

Cardiovascular health

Disease

Artificial intelligence

Medicine

Engineering

Mechanical engineering

Physics

Volume (thermodynamics)

Adversarial system

Generative grammar

Front (military)

Cardiology

Internal medicine
Pubs id:: 1561498
Local pid:: pubs:1561498
Source identifiers:: W4387868882
Deposit date:: 2026-06-01
ARK identifier:: ark:/29072/ora_bd8ac28bd9b349d0b5d0b94679d3c034

Terms of use

Copyright date:: 2023

Licence:: CC Attribution (CC BY)

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