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Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Jafari, Mahboobeh; Shoeibi, Afshin; Khodatars, Marjane; Ghassemi, Navid; Moridian, Parisa; Alizadehsani, Roohallah; Khosravi, Abbas; Ling, Sai Ho; Delfan, Niloufar; Zhang, Yu-Dong; Wang, Shui-Hua; Gorriz, Juan M; Alinejad-Rokny, Hamid; Acharya, U Rajendra.
Affiliation
  • Jafari M; Internship in BioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia.
  • Shoeibi A; Internship in BioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia; Data Science and Computational Intelligence Institute, University of Granada, Spain. Electronic address: Afshin.shoeibi@gmail.com.
  • Khodatars M; Data Science and Computational Intelligence Institute, University of Granada, Spain.
  • Ghassemi N; Internship in BioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia.
  • Moridian P; Data Science and Computational Intelligence Institute, University of Granada, Spain.
  • Alizadehsani R; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia.
  • Khosravi A; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia.
  • Ling SH; Faculty of Engineering and IT, University of Technology Sydney (UTS), Australia.
  • Delfan N; Faculty of Computer Engineering, Dept. of Artificial Intelligence Engineering, K. N. Toosi University of Technology, Tehran, Iran.
  • Zhang YD; School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.
  • Wang SH; School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.
  • Gorriz JM; Data Science and Computational Intelligence Institute, University of Granada, Spain; Department of Psychiatry, University of Cambridge, UK.
  • Alinejad-Rokny H; BioMedical Machine Learning Lab, The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia; UNSW Data Science Hub, The University of New South Wales, Sydney, NSW, 2052, Australia; Health Data Analytics Program, Centre for Applied Artificial Intelligence, Macquarie Univ
  • Acharya UR; School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, Australia; Dept. of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.
Comput Biol Med ; 160: 106998, 2023 06.
Article in En | MEDLINE | ID: mdl-37182422

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Cardiovascular Diseases / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: Australia Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Cardiovascular Diseases / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Affiliation country: Australia Country of publication: United States