Artificial Intelligence for Computational Modeling of the Heart

• Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
• Publisher : Academic Press
• Release : 01 December 2019

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

• Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
• Publisher : Academic Press
• Release : 25 November 2019

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

• 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

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,

• 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

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,

• Author : Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi
• Publisher : Springer
• Release : 05 March 2019

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

• Author : Rubén Doste Beltrán
• Publisher : Unknown
• Release : 15 June 2021

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

• Author : Anonim
• Publisher : Unknown
• Release : 15 June 2021

• Author : American Association for Artificial Intelligence
• Publisher : Aaai Press
• Release : 15 June 1998

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

• Author : Thomas Hardy Leahey,Richard Jackson Harris
• Publisher : Unknown
• Release : 15 June 2021

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

• Author : Christopher G. Chute
• Publisher : Unknown
• Release : 15 June 1998

• Author : Qizhi He
• Publisher : Unknown
• Release : 15 June 2021

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

• Author : Anonim
• Publisher : Unknown
• Release : 15 June 2021

• Author : University of California, Berkeley. Computer Science Division,Daniel Saul Jurafsky
• Publisher : Unknown
• Release : 15 June 1992

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.

• Author : Ranjeet J. Uttamsingh,A. Martin Wildberger
• Publisher : Society for Computer Simulation
• Release : 15 June 1989

• Author : Anonim
• Publisher : Unknown
• Release : 15 June 1975