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Titlebook: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification; 9th International Wo Mihaela Pop,Maxi

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Lumen Segmentation of Aortic Dissection with Cascaded Convolutional Networkumens is necessary. This is a challenging task because the intimal flap separating true and false lumens is thin, discontinuous and has a complex shape. In this paper we formulate lumen segmentation of aortic dissection as the extraction of aortic adventitia (the contour of aorta) and intima (the co
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A Vessel-Focused 3D Convolutional Network for Automatic Segmentation and Classification of Coronary Although the constitution of AP can be assessed through a contrast-enhanced coronary computed tomography angiography (CCTA), the interpretation of CCTA scans is time-consuming and tedious for radiologists. Automation of AP segmentation is highly desired for clinical applications and further research
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Semi-automated Image Segmentation of the Midsystolic Left Ventricular Mitral Valve Complex in Ischemfter myocardial infarction. Current automated methods have focused on analyzing the mitral valve and left ventricle independently. While these methods have allowed for valuable insights into mechanisms of IMR, they do not fully integrate pathological features of the left ventricle and mitral valve.
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4D Cardiac Motion Modeling Using Pair-Wise Mesh Registrationed mesh models from preoperative 3D+T computed tomography angiography (CTA). We propose a pair-wise mesh registration technique for building correspondence and interpolating the control points over a cardiac cycle. The key contribution of this work is a rapid creation of a deformation field through
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Conference proceedings 2019dels of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.. The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardia
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Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appeion. Some LAA morphological descriptors such as ostium characteristics and pulmonary configuration were found to influence LAA blood flow patterns. These findings improve our knowledge on the required conditions for thrombus formation in the LAA.
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