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Diagnostic performance of IVUS-FFR analysis based on generative adversarial network and bifurcation fractal law for assessing myocardial ischemia.
Yong, Dong; Minjie, Chen; Yujie, Zhao; Jianli, Wang; Ze, Liu; Pengfei, Li; Xiangling, Lai; Xiujian, Liu; Javier, Del Ser.
Affiliation
  • Yong D; Department of Cardiology, the 7th People's Hospital of Zhengzhou, Zhengzhou, China.
  • Minjie C; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
  • Yujie Z; Department of Cardiology, the 7th People's Hospital of Zhengzhou, Zhengzhou, China.
  • Jianli W; Department of Cardiology, the 7th People's Hospital of Zhengzhou, Zhengzhou, China.
  • Ze L; Department of Cardiology, the 7th People's Hospital of Zhengzhou, Zhengzhou, China.
  • Pengfei L; Department of Cardiology, the 7th People's Hospital of Zhengzhou, Zhengzhou, China.
  • Xiangling L; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
  • Xiujian L; School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
  • Javier DS; TECNALIA, Basque Research & Technology Alliance (BRTA), Derio, Spain.
Front Cardiovasc Med ; 10: 1155969, 2023.
Article in En | MEDLINE | ID: mdl-37020517
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Front Cardiovasc Med Year: 2023 Document type: Article Affiliation country: Country of publication: