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Physics-informed neural networks for parameter estimation in blood flow models.

, , , and . Comput. Biol. Medicine, (2024)

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Velocity Variability in MRI Phase-Contrast., , , , and . EUSIPCO, page 31-35. IEEE, (2018)Manufacturing of Ultrasound- and MRI-Compatible Aortic Valves Using 3D Printing for Analysis and Simulation., , , , , , , , , and 2 other author(s). STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 12-21. Springer, (2019)Physics-informed neural networks for parameter estimation in blood flow models., , , and . Comput. Biol. Medicine, (2024)Simultaneous left and right ventricle segmentation using topology preserving level sets., , , , , , and . Biomed. Signal Process. Control., (2017)Robust registration between cardiac MRI images and atlas for segmentation propagation., , , , , , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 691408. SPIE, (2008)Multiple motion encoding in phase-contrast MRI: A general theory and application to elastography imaging., , , , , and . Medical Image Anal., (2022)Inspecting state of the art performance and NLP metrics in image-based medical report generation., , , , and . CoRR, (2020)Level set segmentation with shape prior knowledge using intrinsic rotation, translation and scaling alignment., , , , , and . ISBI, page 1568-1571. IEEE, (2015)3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta., , , , , , , and . IEEE Trans. Medical Imaging, 35 (6): 1475-1487 (2016)TRIO a Technique for Reconstruction Using Intensity Order: Application to Undersampled MRI., , , , , , and . IEEE Trans. Medical Imaging, 30 (8): 1566-1576 (2011)