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Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle.

, , , , , , and . Comput. Medical Imaging Graph., (2023)

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DataBank: A Blueprint for efficient privacy-preserving personalized user data management worldwide., , and . COMAD (b), Computer Society of India, (2005)Comparison of Image Acquisition Techniques in Four-Dimensional Flow Cardiovascular MR on 3 Tesla in Volunteers and Tetralogy of Fallot Patients., , , , , , , , , and 2 other author(s). EMBC, page 1115-1118. IEEE, (2018)Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques., , , , , , , , , and 7 other author(s). BMC Medical Imaging, 21 (1): 164 (2021)Enhanced distributed hash tables for complex queries., , and . COMSWARE, page 1-9. IEEE, (2006)Interpolation based Reversible Data Hiding Scheme for Digital Images., and . WCCCE, page 11:1-11:6. ACM, (2016)Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle., , , , , , and . Comput. Medical Imaging Graph., (2023)MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar., , , , , and . Comput. Medical Imaging Graph., (2021)Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar., , , , , , and . Artif. Intell. Medicine, (September 2023)NVGRE: Network Virtualization Using Generic Routing Encapsulation., and . RFC, (September 2015)Block-Based Reversible Data Hiding Using Histogram Shifting and Modulus Operator for Digital Images., , and . Journal of Circuits, Systems, and Computers, 26 (6): 1750103:1-1750103:17 (2017)