Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network

7 Oct 2019Shihao JinNicolò SavioliAntonio de MarvaoTimothy JW DawesAxel GandyDaniel RueckertDeclan P O'Regan

In this work, a novel approach is proposed for joint analysis of high dimensional time-resolved cardiac motion features obtained from segmented cardiac MRI and low dimensional clinical risk factors to improve survival prediction in heart failure. Different methods are evaluated to find the optimal way to insert conventional covariates into deep prediction networks... (read more)

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