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  1. No Access

    Article

    Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging

    Three-dimensional (3D) time-resolved phase-contrast cardiac magnetic resonance (4D flow CMR) allows for unparalleled quantification of blood velocity. Despite established potential in aortic diseases, the anal...

    Juan Garrido-Oliver, Jordina Aviles, Marcos Mejía Córdova… in European Radiology (2022)

  2. No Access

    Chapter and Conference Paper

    A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field

    Fetal Magnetic Resonance Imaging (Fetal MRI) allows insights into human development before birth, complementing conventional Ultrasound imaging with its high resolution and available numerous contrast options....

    Jordina Aviles, Kathleen Colford, Megan Hall… in Perinatal, Preterm and Paediatric Image An… (2022)

  3. No Access

    Chapter and Conference Paper

    Domain Adaptation for Automatic Aorta Segmentation of 4D Flow Magnetic Resonance Imaging Data from Multiple Vendor Scanners

    The lack of standardized pipelines for image processing has prevented the application of deep learning (DL) techniques for the segmentation of the aorta in phase-contrast enhanced magnetic resonance angiograph...

    Jordina Aviles, Gonzalo D. Maso Talou… in Functional Imaging and Modeling of the Hea… (2021)