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A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques., , , , , , , and . EMBC, page 2266-2269. IEEE, (2021)Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells., , , , , , , , and . EMBC, page 1590-1593. IEEE, (2022)A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease., , , , , , , , , and 1 other author(s). BIBE, page 706-709. IEEE, (2019)PRESS: PRotEin S-Sulfenylation server., , , , , , , , and . Bioinform., 32 (17): 2710-2712 (2016)Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*., , , , , , , , , and 4 other author(s). EMBC, page 4209-4212. IEEE, (2021)Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study., , , , , , , and . EMBC, page 1-4. IEEE, (2023)Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach., , , , , , , , , and . EMBC, page 1-4. IEEE, (2023)A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging., , , , , , , , , and 2 other author(s). EMBC, page 2408-2411. IEEE, (2020)