15 citations · 17 across the 3 of their papers we have counts for
3 papers
eess.SP2023
A new method using deep transfer learning on ECG to predict the response to cardiac resynchronization therapy
Zhuo He, Hongjin Si, Xinwei Zhang +3
Background: Cardiac resynchronization therapy (CRT) has emerged as an effective treatment for heart failure patients with electrical dyssynchrony. However, accurately predicting wh…
cs.CV2023★ 2 cited
A new method using deep learning to predict the response to cardiac resynchronization therapy
Kristoffer Larsena, Zhuo He, Chen Zhao +8
Background. Clinical parameters measured from gated single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) have value in predicting cardiac resynchroni…
physics.med-ph2021★ 15 cited
A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
Zhuo He, Xinwei Zhang, Chen Zhao +5
Background. Studies have shown that the conventional left ventricular mechanical dyssynchrony (LVMD) parameters have their own statistical limitations. The purpose of this study is…