February 03, 2022 article Open access EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks Frontiers in Cardiovascular Medicine DOI: 10.3389/fcvm.2021.768419 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 64 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 Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings 2025 Nature Communications article Neuroscience Neuroscience and Neural Engineering Open access 15 citations Intelligent In-Cell Electrophysiology: Reconstructing Action Potentials from Nanoelectrode Data Using Physics-Informed Deep Learning. 2024 Research Square preprint Neuroscience Neuroscience and Neural Engineering Open access 0 citations Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns 2024 Computers in Biology and Medicine article Medicine Cardiac electrophysiology and arrhythmias Open access 5 citations 3 results References 0