Artificial Intelligence for Computational Modeling of the Heart

Produk Detail:
  • Author : Tommaso Mansi
  • Publisher : Academic Press
  • Pages : 260 pages
  • ISBN : 012817594X
  • 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 01 December 2019 with total page 260 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 : 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

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

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
  • Author : Esther Puyol Anton,Mihaela Pop,Maxime Sermesant,Victor Campello,Alain Lalande,Karim Lekadir,Avan Suinesiaputra,Oscar Camara,Alistair Young
  • Publisher : Springer
  • Release : 29 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 M Ms and EMIDEC Challenges

Statistical Atlases and Computational Models of the Heart  M Ms and EMIDEC Challenges
  • 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 Atrial Segmentation and LV Quantification Challenges

Statistical Atlases and Computational Models of the Heart  Atrial Segmentation and LV Quantification Challenges
  • Author : Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi
  • Publisher : Springer
  • Release : 05 March 2019
GET THIS BOOK 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 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

Computational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias

Computational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias
  • Author : Rubén Doste Beltrán
  • Publisher : Unknown
  • Release : 15 June 2021
GET THIS BOOK Computational Models of the Heart for Planning and Treatment of Outflow Tract Ventricular Arrhythmias

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 simulation of ventricular tachycardia that incorporates a new specific rule-base method for fiber generation, including the ventricular outflow tracts. The pipeline allows carrying out multiscale simulations, obtaining the patient ECG

Proceedings

Proceedings
  • Author : American Association for Artificial Intelligence
  • Publisher : Aaai Press
  • Release : 15 June 1998
GET THIS BOOK Proceedings

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.

Learning and Cognition

Learning and Cognition
  • Author : Thomas Hardy Leahey,Richard Jackson Harris
  • Publisher : Unknown
  • Release : 15 June 2021
GET THIS BOOK Learning and Cognition

Using a lively, engaging, non-technical approach to discuss sophisticated research and theory, this book provides a comprehensive survey of all aspects of human learning and cognition-- from the simplest phenomena of conditioning to complex reasoning and decision making. Designed to show readers clearly how psychology is important in their everyday lives, it features an abundance of practical examples throughout (including international examples) and a series of high-interest applications boxes. The book explores the biological bases of learning and cognition at

Model Order Reduction and Data Driven Computational Modeling for Linear and Nonlinear Solids

Model Order Reduction and Data Driven Computational Modeling for Linear and Nonlinear Solids
  • Author : Qizhi He
  • Publisher : Unknown
  • Release : 15 June 2021
GET THIS BOOK Model Order Reduction and Data Driven Computational Modeling for Linear and Nonlinear Solids

Physics-based numerical simulation remains challenging as the complexity of today's high-fidelity models has dramatically increased. Model order reduction (MOR) and data-driven modeling, based on the emerging techniques of data learning and physical modeling, present a promising way to tackle the computational bottleneck related to the computational intensity and model complexity. Nevertheless, MOR has proven to be significantly more difficult for parameterized mechanics systems that exhibit a wide variety of parameter-dependent nonlinear behaviors or that involve localized essential features. The first

An On line Computational Model of Human Sentence Interpretation

An On line Computational Model of Human Sentence Interpretation
  • Author : University of California, Berkeley. Computer Science Division,Daniel Saul Jurafsky
  • Publisher : Unknown
  • Release : 15 June 1992
GET THIS BOOK An On line Computational Model of Human Sentence Interpretation

The model includes a theory of grammar called Construction-Based Interpretative Grammar (CIG) and an interpreter which uses the grammar to build an interpretation for single sentences. An implemen tation ofhte interpreter has been built called Sal.