Generating patient-specific computational models with point cloud data from human atrial electrophysiology studies.
Saved in:
| Title: | Generating patient-specific computational models with point cloud data from human atrial electrophysiology studies. |
|---|---|
| Authors: | Nataren Moran J; Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America., Abdala L; Department of Mathematics, University of North Carolina, Chapel Hill, North Carolina, United States of America., Griffith BE; Department of Mathematics, University of North Carolina, Chapel Hill, North Carolina, United States of America.; Department of Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina, United States of America.; Carolina Center for Interdisciplinary Applied Mathematics, University of North Carolina, Chapel Hill, North Carolina, United States of America.; Computational Medicine Program, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America.; McAllister Heart Institute, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America. |
| Source: | PloS one [PLoS One] 2026 Mar 26; Vol. 21 (3), pp. e0344274. Date of Electronic Publication: 2026 Mar 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0344274 |
