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Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2019)Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis., , , , , , , , , и . MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 323-331. Springer, (2017)Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network., , , , , , , , , и 3 other автор(ы). CoRR, (2022)Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis., , , , , , , , , и 2 other автор(ы). CoRR, (2018)Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation., , , , , , , , , и 2 other автор(ы). IEEE Trans. Medical Imaging, 40 (9): 2233-2245 (2021)Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation., , , , , , , , , и 3 other автор(ы). CoRR, (2018)Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis., , , , , , , , , и . MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 431-438. (2016)Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT., , , , , , , , и . IEEE Trans. Med. Imaging, 39 (1): 119-128 (2020)Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching., , , , , , , , , и 1 other автор(ы). MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 279-286. Springer, (2017)Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network., , , , , , , , , и 3 other автор(ы). IEEE Trans. Medical Imaging, 42 (5): 1325-1336 (мая 2023)