May 09, 2022 article Physics-constrained deep active learning for spatiotemporal modeling of cardiac electrodynamics Computers in Biology and Medicine DOI: 10.1016/j.compbiomed.2022.105586 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 45 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 16 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 2 results References 0