most citedA new method using machine learning to integrate ECG and gated SPECT MPI for Cardiac Resynchronization Therapy Decision Support on behalf of the VISION-CRT

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification

Kristoffer Larsen, Chen Zhao, Joyce Keyak +7

Aims. The purpose of this study is to create a multi-stage machine learning model to predict cardiac resynchronization therapy (CRT) response for heart failure (HF) patients. This…

physics.med-ph2022★ 10 cited

A new method using machine learning to integrate ECG and gated SPECT MPI for Cardiac Resynchronization Therapy Decision Support on behalf of the VISION-CRT

Fernando de A. Fernandes, Kristoffer Larsen, Zhuo He +7

Cardiac resynchronization therapy (CRT) has been established as an important therapy for heart failure. Mechanical dyssynchrony has the potential to predict responders to CRT. The…