most citedAGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

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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…