#Special #issue on #Generative #Adversarial #Networks in #Cardiovascular #Research
Manuscript Extension #Submission #Deadline 02 May 2023
https://lnkd.in/eB9hfxwv
Generative adversarial networks (#GAN) are among the most exciting deep-learning breakthroughs of the past decade. GANs use adversarial discriminators to supervise the learning of generative neural networks, without explicitly modelling the pattern of the training samples. They have demonstrated superior performance, especially in medical data synthesis, and quickly evolved to become the state-of-the-art for data-generation tasks.
In cardiovascular medicine, GANs are increasingly adopted in a wide range of applications in cardiovascular imaging, electrocardiography signals, and patient characteristics. This topic focuses on novel GAN approaches and applications to various cardiovascular research, including but not limited to #domain transfer, domain #adaption, #dose reduction, missing modality, data #augmentation, image #reconstruction, #synthesis, #segmentation, #detection, and #classification. It also aims to address the technical challenges of GANs in model training, validation, transparency, and robustness.
We welcome researchers with a background in #machine learning, basic science, clinical #cardiology, or cross-disciplinary field to contribute high-quality papers in methodology, original investigations, clinical applications, #ethics, reviews, and mini-#reviews.
Topic Editors
Guang Yang
Imperial College London
London, United Kingdom
Qiang Zhang
Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford
Oxford, United Kingdom
Tolga Cukur
Bilkent University
Ankara, Türkiye
Hayit Greenspan
Tel Aviv University
Tel Aviv, Israel
########################################################################
To unsubscribe from the MIUA list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=MIUA&A=1
This message was issued to members of www.jiscmail.ac.uk/MIUA, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
|