February 07, 2020 article Open access Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics Canadian Journal of Cardiology DOI: 10.1016/j.cjca.2020.01.027 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 47 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 A physics-informed deep learning framework for modeling of coronary in-stent restenosis 2024 Biomechanics and Modeling in Mechanobiology article Medicine Coronary Interventions and Diagnostics 6 citations 1 result References 0