Author Correction: Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart.

Saved in:
Bibliographic Details
Title: Author Correction: Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart.
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
Description
ISSN:2731-0590
DOI:10.1038/s44161-022-00075-z