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Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis.

, , , , , , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 57-64. Springer, (2015)

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Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis., , , , , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 323-331. Springer, (2017)Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis., , , , , , , , , and 2 other author(s). CoRR, (2018)Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 40 (9): 2233-2245 (2021)Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging., , , , , , , and . IEEE Access, (2018)Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis., , , , , , , , , and 2 other author(s). Medical Image Anal., (2019)Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching., , , , , , , , , and 1 other author(s). MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 279-286. Springer, (2017)Automatic extraction of disease-specific features from Doppler images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101340N. SPIE, (2017)Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis., , , , , , and . FIMH, volume 9126 of Lecture Notes in Computer Science, page 57-64. Springer, (2015)Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation., , , , , , , , , and 3 other author(s). CoRR, (2018)Left Ventricle Classification Using Active Shape Model and Support Vector Machine., , and . STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 154-161. Springer, (2015)