HIGHLIGHTS
- who: Sona Ghadimi from the Department of Biomedical Engineering, University of Virginia, Health System, Box, Charlottesville, VA, USA have published the paper: Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping, in the Journal: (JOURNAL)
- what: This study developed and evaluated deep learning methods for fullyautomatic DENSE strain analysis. The authors aimed to develop a fully-automated post-processing approach for DENSE.
- how: The authors developed a pipeline for fullyautomated analysis of cine DENSE data using four CNNs to (a) identify the . . .
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