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Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI.

, , , , , , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 156-168. Springer, (2017)

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Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2020)Multi-Center MRI Carotid Plaque Component Segmentation Using Feature Normalization and Transfer Learning., , , , , , , , and . IEEE Trans. Med. Imaging, 34 (6): 1294-1305 (2015)Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796329. SPIE, (2011)Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI., , , , , , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 156-168. Springer, (2017)An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters., , , , , , , and . MIUA, volume 90 of Procedia Computer Science, page 2-8. Elsevier, (2016)Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts., , , , , , , , and . MCV, volume 7766 of Lecture Notes in Computer Science, page 38-47. Springer, (2012)Supervised in-vivo plaque characterization incorporating class label uncertainty., , , , , , , and . ISBI, page 246-249. IEEE, (2012)