Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data-Reference-Cited by-同舟云学术

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Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data

Published:2024-03-01 Issue:2 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Sandfort Veit¹^ORCID,Willemink Martin J.¹^ORCID,Codari Marina¹^ORCID,Mastrodicasa Domenico¹^ORCID,Fleischmann Dominik¹^ORCID

Affiliation:

1. From the Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, S-072, Stanford, CA 94305-5105.

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230153

Reference14 articles.

1. 2022 use of coronary computed tomographic angiography for patients presenting with acute chest pain to the emergency department: An expert consensus document of the Society of cardiovascular computed tomography (SCCT)

2. Prognostic Value of CT Angiography for Major Adverse Cardiac Events in Patients With Acute Chest Pain From the Emergency Department

3. Clinical utility of early postoperative cardiac multidetector computed tomography after coronary artery bypass grafting

4. Left Ventricular Function and Volume with Coronary CT Angiography Improves Risk Stratification and Identification of Patients at Risk for Incident Mortality: Results from 7758 Patients in the Prospective Multinational CONFIRM Observational Cohort Study

5. Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography

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