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Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections.

, , , , , , , , , и . MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 174-181. Springer, (2017)

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Julio Hernández

Julio Mendívil

Julio Gallardo

Julio Rodriguez

Julio Srulijes

 

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Automatic estimation of the aortic lumen geometry by ellipse tracking., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 14 (2): 345-355 (2019)Image Enhancement Using and Optimum Quantizer., , , и . EUROCAST, том 1333 из Lecture Notes in Computer Science, стр. 444-452. Springer, (1997)Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation., , , , , , , , , и . CVII-STENT/LABELS@MICCAI, том 10552 из Lecture Notes in Computer Science, стр. 3-11. Springer, (2017)Invertibility and Estimation of Two-Parameter Polynomial and Division Lens Distortion Models., , , , , , и . SIAM J. Imaging Sci., 8 (3): 1574-1606 (2015)3D Reconstruction from a Vascular Tree Model., , , , и . EUROCAST, том 2809 из Lecture Notes in Computer Science, стр. 616-626. Springer, (2003)Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections., , , , , , , , , и . MICCAI (2), том 10434 из Lecture Notes in Computer Science, стр. 174-181. Springer, (2017)Unsupervised method for estimating the number of endmembers in hyperspectral images., , и . Biomed. Signal Process. Control., (2024)Semi-automatic segmentation and detection of aorta dissection wall in MDCT angiography., , , и . Medical Image Anal., 18 (1): 83-102 (2014)Model of Vessels for the 3D Reconstruction., , , , и . METMBS, стр. 410-416. CSREA Press, (2003)Maximal curvature-based segmentation of 3D vessel contours., , , , и . EMBC, стр. 8001-8004. IEEE, (2011)