April 03, 2018 article Open access A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue PLoS ONE DOI: 10.1371/journal.pone.0192726 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 148 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 Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics 2026 Circulation Research article Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics 12 citations Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints 2021 Acta Orthopaedica article Health Professions Artificial Intelligence in Healthcare Open access 22 citations Big Data Approaches in Heart Failure Research 2020 Current Heart Failure Reports article Medicine Heart Failure Treatment and Management Open access 22 citations 3 results References 0