November 01, 2025 article Open access Deep learning models for segmentation and quantification of left atrial appendage volume using noncontrast cardiac computed tomography Journal of Cardiovascular Imaging DOI: 10.1186/s44348-025-00058-1 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 3 References 3 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 Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging – Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque 2020 Journal of cardiovascular computed tomography article Medicine Cardiac Imaging and Diagnostics Open access 296 citations Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning 2020 PLoS ONE article Computer Science Medical Image Segmentation Techniques Open access cited by 3 patents 48 citations Anatomical Characteristics of the Left Atrium and Left Atrial Appendage in Relation to the Risk of Stroke in Patients With Versus Without Atrial Fibrillation 2021 Circulation Arrhythmia and Electrophysiology article Medicine Atrial Fibrillation Management and Outcomes Open access 17 citations 3 results