Artificial Intelligence for Computational Modeling of the Heart

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  • Author : Tommaso Mansi
  • Publisher : Academic Press
  • Pages : 274 pages
  • ISBN : 0128168951
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>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 25 November 2019 with total page 274 pages. We cannot guarantee that Artificial Intelligence for Computational Modeling of the Heart book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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
  • Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
  • Publisher : Academic Press
  • Release : 25 November 2019
GET THIS 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 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

Artificial Intelligence for Computational Modeling of the Heart

Artificial Intelligence for Computational Modeling of the Heart
  • Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
  • Publisher : Academic Press
  • Release : 01 December 2019
GET THIS 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 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

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
  • Author : Mihaela Pop,Maxime Sermesant,Oscar Camara,Xiahai Zhuang,Shuo Li,Alistair Young,Tommaso Mansi,Avan Suinesiaputra
  • Publisher : Springer Nature
  • Release : 22 January 2020
GET THIS BOOK Statistical Atlases and Computational Models of the Heart Multi Sequence CMR Segmentation CRT EPiggy and LV Full Quantification Challenges

This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 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

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  • Author : Esther Puyol Anton,Mihaela Pop,Maxime Sermesant,Victor Campello,Alain Lalande,Karim Lekadir,Avan Suinesiaputra,Oscar Camara,Alistair Young
  • Publisher : Springer Nature
  • Release : 28 January 2021
GET THIS 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 included in this volume were carefully reviewed and selected from 70 submissions. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction,

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
  • Author : Esther Puyol Antón,Mihaela Pop,Carlos Martín-Isla,Maxime Sermesant,Avan Suinesiaputra,Oscar Camara,Karim Lekadir,Alistair Young
  • Publisher : Springer Nature
  • Release : 14 January 2022
GET THIS BOOK Statistical Atlases and Computational Models of the Heart Multi Disease Multi View and Multi Center Right Ventricular Segmentation in Cardiac MRI Challenge

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

Artificial Intelligence in Healthcare and Medicine

Artificial Intelligence in Healthcare and Medicine
  • Author : Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
  • Publisher : CRC Press
  • Release : 06 April 2022
GET THIS BOOK Artificial Intelligence in Healthcare and Medicine

This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed

Computational Intelligence Cyber Security and Computational Models

Computational Intelligence  Cyber Security and Computational Models
  • Author : Muthukrishnan Senthilkumar,Vijayalakshmi Ramasamy,Shina Sheen,C. Veeramani,Anthony Bonato,Lynn Batten
  • Publisher : Springer
  • Release : 18 December 2015
GET THIS BOOK Computational Intelligence Cyber Security and Computational Models

This book aims at promoting high-quality research by researchers and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security, and Computational Models ICC3 2015 organized by PSG College of Technology, Coimbatore, India during December 17 – 19, 2015. This book enriches with innovations in broad areas of research like computational modeling, computational intelligence and cyber security. These emerging inter disciplinary research areas have helped to solve multifaceted problems and gained lot of attention in recent years. This encompasses theory and

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Multidisciplinary Computational Anatomy
  • Author : Makoto Hashizume
  • Publisher : Springer Nature
  • Release : 01 January 2022
GET THIS BOOK Multidisciplinary Computational Anatomy

This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical

Issues in Artificial Intelligence Robotics and Machine Learning 2013 Edition

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  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release : 01 May 2013
GET THIS BOOK Issues in Artificial Intelligence Robotics and Machine Learning 2013 Edition

Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Expert Systems. The editors have built Issues in Artificial Intelligence, Robotics and Machine Learning: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Expert Systems in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Artificial Intelligence,