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Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning.

, , , , and . BHI, page 1-4. IEEE, (2021)

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In silico model of atherosclerosis with individual patient calibration to enable precision medicine for cardiovascular disease., , , , , , and . Comput. Biol. Medicine, (2023)Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy., , , , , , , , , and 3 other author(s). Medical Image Anal., (2021)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)Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning., , , , and . BHI, page 1-4. IEEE, (2021)Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization., , , , , , , , and . CoRR, (2023)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)In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels., , , , and . BHI, page 1-4. IEEE, (2021)Vortex Duration Time to Infer Pulmonary Hypertension: In-Silico Emulation and Dependence on Quantification Technique., , , , , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 425-434. Springer, (2023)Opportunities for machine learning in scientific discovery., , , , , , , , , and 2 other author(s). CoRR, (2024)