Author Correction: Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart.
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| Title: | Author Correction: Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart. |
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| Authors: | Popescu DM; Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA., Shade JK; Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA., Lai C; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Aronis KN; University of Pittsburgh Medical Center, Heart and Vascular Institute, Pittsburgh, PA, USA., Ouyang D; Cedar-Sinai Medical Center, Department of Cardiology, Los Angeles, CA, USA., Moorthy MV; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Cook NR; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Lee DC; Northwestern University, Feinberg School of Medicine, Chicago, IL, USA., Kadish A; Touro College and University System, Valhalla, NY, USA., Albert CM; Cedar-Sinai Medical Center, Department of Cardiology, Los Angeles, CA, USA., Wu KC; Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA.; Johns Hopkins University School of Medicine, Department of Medicine, Division of Cardiology, Baltimore, MD, USA., Maggioni M; Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA.; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA., Trayanova NA; Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE), Johns Hopkins University, Baltimore, MD, USA. ntrayanova@jhu.edu.; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. ntrayanova@jhu.edu. |
| Source: | Nature cardiovascular research [Nat Cardiovasc Res] 2022 May; Vol. 1 (5), pp. 532. |
| Publication Type: | Published Erratum |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 9918284280206676 Publication Model: Print Cited Medium: Internet ISSN: 2731-0590 (Electronic) Linking ISSN: 27310590 NLM ISO Abbreviation: Nat Cardiovasc Res Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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