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Modeling hemodynamic forces in carotid artery based on local geometric features.

, , , and . Medical Biol. Eng. Comput., 54 (9): 1437-1452 (2016)

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Nonrigid registration of carotid ultrasound and MR images using a "twisting and bending" model., , , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 691411. SPIE, (2008)Accurate quantification of local changes for carotid arteries in 3D ultrasound images using convex optimization-based deformable registration., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978448. SPIE, (2016)Feasibility of Multiple Micro-Particle Trapping - A Simulation Study., , , and . Sensors, 15 (3): 4958-4974 (2015)A Dual-Stream Centerline-Guided Network for Segmentation of the Common and Internal Carotid Arteries From 3D Ultrasound Images., and . IEEE Trans. Medical Imaging, 42 (9): 2690-2705 (September 2023)Deep-recursive residual network for image semantic segmentation., , , , and . Neural Comput. Appl., 32 (16): 12935-12947 (2020)Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning., , , , and . Neurocomputing, (2018)3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941310. SPIE, (2015)Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation., , , , , , , , , and 1 other author(s). CoRR, (2023)Breast lesion classification based on supersonic shear-wave elastography and automated lesion segmentation from B-mode ultrasound images., , , and . Comput. Biol. Medicine, (2018)3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets., , , , , , , and . NeuroImage, (2015)