Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges

9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Mihaela Pop والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models 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: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٥ مارس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
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Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
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Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
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Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers
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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images
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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
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Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
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Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges
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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges
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Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges
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Functional Imaging and Modelling of the Heart Functional Imaging and Modelling of the Heart
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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
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