Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review
Author:
Publisher
IMR Press
Subject
General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology
Link
https://www.fbscience.com/Landmark/articles/pdf/Landmark5026.pdf
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look;Journal of Cardiovascular Development and Disease;2023-12-04
2. Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers;Heliyon;2023-12
3. Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework;Diagnostics;2023-06-02
4. Cardiovascular disease/stroke risk stratification in deep learning framework: a review;Cardiovascular Diagnosis and Therapy;2023-06
5. Cross-Sectional Association of Dietary Patterns and Supplement Intake with Presence and Gray-Scale Median of Carotid Plaques—A Comparison between Women and Men in the Population-Based Hamburg City Health Study;Nutrients;2023-03-18
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