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Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure.

, , , , , , , , and . Medical Image Anal., (August 2023)

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Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network., , and . J. Comput. Phys., (2013)Non-invasive pressure difference estimation from PC-MRI using the work-energy equation., , , , and . Medical Image Anal., 26 (1): 159-172 (2015)Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment., , and . CoRR, (2023)Optimal B-Spline Mapping of Flow Imaging Data for Imposing Patient-Specific Velocity Profiles in Computational Hemodynamics., , , , , , and . IEEE Trans. Biomed. Eng., 66 (7): 1872-1883 (2019)Cerebrovascular super-resolution 4D Flow MRI - Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure., , , , , , , , and . Medical Image Anal., (August 2023)A flexible framework for sequential estimation of model parameters in computational hemodynamics., , , , and . Adv. Model. Simul. Eng. Sci., 7 (1): 48 (2020)CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation., , , , , , , , , and 24 other author(s). PLoS Comput. Biol., (2021)Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system., , , , , , , , , and 7 other author(s). CoRR, (2023)Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy., , , , , , , , , and 1 other author(s). Medical Image Anal., (2020)CRIMSON: Towards a Software Environment for Patient-Specific Blood Flow Simulation for Diagnosis and Treatment., and . CLIP@MICCAI, volume 9401 of Lecture Notes in Computer Science, page 10-18. Springer, (2015)