Work

Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-68127-6_1

Authors: Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris

Institutions: University of Edinburgh, Cedars-Sinai Medical Center

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Nvidia, National Institutes of Health, Engineering and Physical Sciences Research Council, National Heart, Lung, and Blood Institute

Awards: Reliable Evaluation of Coronary Artery Disease using Myocardial BOLD MRI with CO2, CardiacA.I.: Machine learning for the analysis of multimodal cardiac MR images used in the diagnosis of coronary heart disease, G8822802767

OpenAlex ID: W2759965110

FWCI: 5.51

Cites: 26

Cited by: 194

Related to: 10