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Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade.

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Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade., , , , , , , , , and . CoRR, (2023)Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina., , , , , , , , , and . CoRR, (2024)Current and future roles of artificial intelligence in retinopathy of prematurity., , , , , , , , , and 2 other author(s). CoRR, (2024)Nonlinear and linear entanglement witnesses for bipartite systems via exact convex optimization., , and . Quantum Inf. Comput., 10 (7&8): 562-579 (2010)The minimum-error discrimination via Helstrom family of ensembles and convex optimization., , and . Quantum Inf. Process., 10 (2): 155-176 (2011)Lewenstein-Sanpera decomposition of a generic 2 ⊗ 2 density matrix by using Wootters's basis., and . Quantum Inf. Comput., 3 (3): 229-248 (2003)Measurability of the polynomial invariant of degree 2 for even-N qubit states., , , , and . Quantum Inf. Process., 18 (8): 243 (2019)Classes of quantum codes derived from self-dual orientable embeddings of complete multipartite graphs., and . Quantum Inf. Process., 16 (12): 296 (2017)Bose-Mesner algebra on finite G/H coset graphs and its application on continuous time quantum walks., , , and . Quantum Inf. Process., 11 (3): 729-749 (2012)Quantifying entanglement of two relativistic particles using optimal entanglement witness., and . Quantum Inf. Process., 10 (4): 501-518 (2011)