Atrial Fibrillation Recurrence Estimation
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Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation
In this paper, we propose a machine learning approach that uses deep networks to estimate AF recurrence by predicting shape descriptors directly from MRI images, with NO image pre-processing involved.
