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intravascular ultrasound
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CARDIAN
POST-IVUS
Implications of computed tomography reconstruction algorithms on coronary atheroma quantification
Machine learning for atherosclerotic tissue component classification in combined near-infrared spectroscopy intravascular ultrasound imaging: Validation against histology
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images
End-diastolic segmentation of intravascular ultrasound images enables more reproducible volumetric analysis of atheroma burden
Wall shear stress estimated by 3D-QCA can predict cardiovascular events in lesions with borderline negative fractional flow reserve
A deep learning methodology for the automated detection of end-diastolic frames in intravascular ultrasound images
The evolution of data fusion methodologies developed to reconstruct coronary artery geometry from intravascular imaging and coronary angiography data: a comprehensive review