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In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels.

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

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In Vitro Validation of a Novel Image-Based Inverse Method for Mechanical Characterization of Vessels., , , , and . BHI, page 1-4. IEEE, (2021)Fully automated construction of three-dimensional finite element simulations from Optical Coherence Tomography., , , , and . CoRR, (2024)A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control., , , , , , , , and . ECCV (78), volume 15136 of Lecture Notes in Computer Science, page 396-412. Springer, (2024)Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization., , , , , , , , and . CoRR, (2023)A Framework for Automated Quantification of Calcified Coronary Artery from Intravascular Optical Coherence Tomography Images., , and . BHI, page 1-4. IEEE, (2023)In Silico Assessment of the effects of Material on Stent Deployment., , , , , , and . BIBE, page 462-467. IEEE Computer Society, (2017)Estimating the internal elastic membrane cross-sectional area of coronary arteries autonomously using optical coherence tomography images., , , , , , and . BHI, page 109-112. IEEE, (2017)Simultaneous Multi-Surface Fitting for Vessel Wall Layer Delineation., , , , and . BHI, page 1-4. IEEE, (2019)Neural Network Training Data Profoundly Impacts Texture-Based Intravascular Image Segmentation., , , and . BIBE, page 989-993. IEEE, (2019)Improving Automated Tissue Characterization in Optical Coherence Tomography by Melding Attenuation Compensation with Deep Learning., , , , and . BHI, page 1-4. IEEE, (2021)