Machine-learning-based prediction of fractional flow reserve after percutaneous coronary intervention

  • Rikuta Hamaya
  • , Shinichi Goto
  • , Doyeon Hwang
  • , Jinlong Zhang
  • , Seokhun Yang
  • , Joo Myung Lee
  • , Masahiro Hoshino
  • , Chang Wook Nam
  • , Eun Seok Shin
  • , Joon Hyung Doh
  • , Shao Liang Chen
  • , Gabor G. Toth
  • , Zsolt Piroth
  • , Abdul Hakeem
  • , Barry F. Uretsky
  • , Yohei Hokama
  • , Nobuhiro Tanaka
  • , Hong Seok Lim
  • , Tsuyoshi Ito
  • , Akiko Matsuo
    • Lorenzo Azzalini, Massoud A. Leesar, Carlos Collet, Bon Kwon Koo, Bernard De Bruyne, Tsunekazu Kakuta

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Fingerprint

Dive into the research topics of 'Machine-learning-based prediction of fractional flow reserve after percutaneous coronary intervention'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry

Engineering

Earth and Planetary Sciences