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Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI.

, , , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 381-391. Springer, (2017)

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Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI., , , , , and . IEEE Trans. Medical Imaging, 39 (3): 656-667 (2020)Diffusion Tensor Analysis With Invariant Gradients and Rotation Tangents., , , and . IEEE Trans. Medical Imaging, 26 (11): 1483-1499 (2007)Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function., , , , , and . Medical Image Anal., 13 (5): 773-784 (2009)Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientations., , , , and . ISBI, page 474-478. IEEE, (2018)Evaluating Passive Myocardial Stiffness Using in vivo cine, cDTI, and Tagged MRI., , , , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 527-536. Springer, (2023)Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI., , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 213-222. Springer, (2021)Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images., , , , , , , , , and . FIMH, volume 12738 of Lecture Notes in Computer Science, page 71-83. Springer, (2021)Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI., , , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 381-391. Springer, (2017)Terahertz Imaging of Cutaneous Edema: Correlation With Magnetic Resonance Imaging in Burn Wounds., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Eng., 64 (11): 2682-2694 (2017)Diffusion and Displacement Encoded MRI Dataset to Estimate In Vivo Cardiomyocyte Strain., , , , , and . (May 2022)