Artificial Intelligence for Computational Modeling of the Heart

Download or Read online Artificial Intelligence for Computational Modeling of the Heart full in PDF, ePub and kindle. This book written by Tommaso Mansi and published by Academic Press which was released on 01 December 2019 with total pages 260. We cannot guarantee that Artificial Intelligence for Computational Modeling of the Heart book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Artificial Intelligence for Computational Modeling of the Heart
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Publisher : Academic Press
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ISBN : 9780128175941
Pages : 260 pages
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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

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

GET BOOK!
Artificial Intelligence for Computational Modeling of the Heart

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

GET BOOK!
Statistical Atlases and Computational Models of the Heart  M Ms and EMIDEC Challenges

This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. The 43 full papers

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

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

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Computational Modeling and Simulation of Intellect  Current State and Future Perspectives

"This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

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The purpose of this thesis was to develop personalised cardiovascular therapy guided by multimodal noninvasive imaging and simulations, combined with artificial intelligence tools, for the management of the outflow tract ventricular arrhythmias. The main contributions of this thesis are twofold: -We propose a pipeline to build heart computational models for

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This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford. The 65 revised full papers were carefully reviewed and selected from 68 submissions. They were organized in topical sections as

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Statistical Atlases and Computational Models of the Heart

computationalmodelswith experimentaldata. A completedatasetwasprovided in advance, containing the cardiac geometry and ?bre orientations from MRI as well as epicardial transmembrane potentials from optical mapping.

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Download or read online Statistical Atlases and Computational Models of the Heart Multi Sequence CMR Segmentation CRT EPiggy and LV Full Quantification Challenges written by Mihaela Pop, published by Springer Nature which was released on . Get Statistical Atlases and Computational Models of the Heart Multi Sequence CMR Segmentation CRT EPiggy

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Current and Future Role of Artificial Intelligence in Cardiac Imaging

Download or read online Current and Future Role of Artificial Intelligence in Cardiac Imaging written by Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner, published by Frontiers Media SA which was released on 2020-10-09. Get Current and Future Role of Artificial Intelligence in Cardiac Imaging Books now!

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Statistical Atlases and Computational Models of the Heart  ACDC and MMWHS Challenges

This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges 2017, held in conjunction with MICCAI 2017, in Quebec, Canada, in September 2017. The 27 revised full workshop papers were carefully reviewed and selected from 35 submissions. The papers

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Computational Cardiovascular Mechanics

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

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Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications

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Statistical Atlases and Computational Models of the Heart  Imaging and Modelling Challenges

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challegenges, STACOM 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 28 revised full papers were carefully reviewed and selected from numerous submissions. The

GET BOOK!
Statistical Atlases and Computational Models of the Heart  M Ms and EMIDEC Challenges

This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. The 43 full papers

GET BOOK!