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Ruud B. van Heeswijk

2 accepted papers

2023

Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification

ICASSP 2023accepted

Cardiovascular diseases are the leading cause of mortality worldwide. Cardiac imaging is critical for precise characterization of cardiac structure and function, and is key in diagnosis, therapeutic management, and prognosis. In this work, we propose a novel representation of spatio-temporal cardiac…

Cited by 0SourceScholar
2020

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI

ICASSP 2020accepted

Compressed sensing applied to magnetic resonance imaging (MRI) allows to reduce the scanning time by enabling images to be reconstructed from highly undersampled data. In this paper, we tackle the problem of designing a sampling mask for an arbitrary reconstruction method and a limited acquisition b…

Cited by 0SourceScholar