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Artificial Intelligence for Computational Modeling of the Heart

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Release : 2019-12
Genre : Science
Kind : eBook
Book Rating : 94X/5 ( reviews)

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Book Synopsis Artificial Intelligence for Computational Modeling of the Heart by : Tommaso Mansi

Download or read book Artificial Intelligence for Computational Modeling of the Heart written by Tommaso Mansi. This book was released on 2019-12. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

Artificial Intelligence for Computational Modeling of the Heart

Download Artificial Intelligence for Computational Modeling of the Heart PDF Online Free

Author :
Release : 2019-11-25
Genre : Science
Kind : eBook
Book Rating : 951/5 ( reviews)

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Book Synopsis Artificial Intelligence for Computational Modeling of the Heart by : Tommaso Mansi

Download or read book Artificial Intelligence for Computational Modeling of the Heart written by Tommaso Mansi. This book was released on 2019-11-25. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. - Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications - Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data - Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation

Artificial Intelligence in Heart Modelling

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Author :
Release : 2022-05-11
Genre : Science
Kind : eBook
Book Rating : 509/5 ( reviews)

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Book Synopsis Artificial Intelligence in Heart Modelling by : Rafael Sebastian

Download or read book Artificial Intelligence in Heart Modelling written by Rafael Sebastian. This book was released on 2022-05-11. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Cardiovascular Mechanics

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Author :
Release : 2010-01-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 300/5 ( reviews)

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Book Synopsis Computational Cardiovascular Mechanics by : Julius M. Guccione

Download or read book Computational Cardiovascular Mechanics written by Julius M. Guccione. This book was released on 2010-01-08. Available in PDF, EPUB and Kindle. Book excerpt: Computational Cardiovascular Mechanics provides a cohesive guide to creating mathematical models for the mechanics of diseased hearts to simulate the effects of current treatments for heart failure. Clearly organized in a two part structure, this volume discusses various areas of computational modeling of cardiovascular mechanics (finite element modeling of ventricular mechanics, fluid dynamics) in addition to a description an analysis of the current applications used (solid FE modeling, CFD). Edited by experts in the field, researchers involved with biomedical and mechanical engineering will find Computational Cardiovascular Mechanics a valuable reference.

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge

Download Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge PDF Online Free

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Release : 2022-01-14
Genre : Computers
Kind : eBook
Book Rating : 224/5 ( reviews)

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Book Synopsis Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge by : Esther Puyol Antón

Download or read book Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge written by Esther Puyol Antón. This book was released on 2022-01-14. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. The 25 regular workshop papers included in this volume were carefully reviewed and selected after being revised. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, 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. In addition, 15 papers from the M&MS-2 challenge are included in this volume. The Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is focusing on the development of generalizable deep learning models for the Right Ventricle that can maintain good segmentation accuracy on different centers, pathologies and cardiac MRI views. There was a total of 48 submissions to the workshop.

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