2D cine DENSE with low encoding frequencies accurately quantifies cardiac mechanics with improved image characteristics

Overview of attention for article published in Critical Reviews in Diagnostic Imaging, November 2015

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So far, Dimensions has found 10 publications that cite this research output.

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Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients.

Article in Journal of Medical Imaging (March 2024)

Estimating Aggregate Cardiomyocyte Strain Using $In~Vivo$ Diffusion and Displacement Encoded MRI

Article in IEEE Transactions on Medical Imaging (August 2019)

Typical readout durations in spiral cine DENSE yield blurred images and underestimate cardiac strains at both 3.0 T and 1.5 T

Article in Magnetic Resonance Imaging (August 2018)

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