January 01, 2019 article Open access Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification Journal of Cardiovascular Magnetic Resonance DOI: 10.1186/s12968-018-0509-0 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 87 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Automated Quantification of Simple and Complex Aortic Flow Using 2D Phase Contrast MRI 2024 Medicina article Medicine Advanced MRI Techniques and Applications Open access 1 citations The role of artificial intelligence in cardiovascular magnetic resonance imaging 2024 Progress in Cardiovascular Diseases article Medicine Cardiac Imaging and Diagnostics Open access 19 citations Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update 2020 Journal of Cardiovascular Magnetic Resonance article Medicine Cardiac Imaging and Diagnostics Open access cited by 3 patents 629 citations 3 results References 0