Artificial Intelligence For Computational Modeling Of The Heart

Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
Publisher : Academic Press
Page : 274 pages
File Size : 45,5 Mb
Release : 2019-12
Category : Science
ISBN : 9780128175941

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Artificial Intelligence for Computational Modeling of the Heart by Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu Pdf

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

Author : Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu
Publisher : Academic Press
Page : 274 pages
File Size : 41,6 Mb
Release : 2019-11-25
Category : Science
ISBN : 9780128168950

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Artificial Intelligence for Computational Modeling of the Heart by Tommaso Mansi,Tiziano Passerini,Dorin Comaniciu Pdf

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

Author : Rafael Sebastian,Linwei Wang,Natalia A. Trayanova
Publisher : Frontiers Media SA
Page : 356 pages
File Size : 55,7 Mb
Release : 2022-05-11
Category : Science
ISBN : 9782889761500

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Artificial Intelligence in Heart Modelling by Rafael Sebastian,Linwei Wang,Natalia A. Trayanova Pdf

Author : Julius M. Guccione,Ghassan Kassab,Mark B. Ratcliffe
Publisher : Springer Science & Business Media
Page : 335 pages
File Size : 43,5 Mb
Release : 2010-01-08
Category : Technology & Engineering
ISBN : 9781441907301

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Computational Cardiovascular Mechanics by Julius M. Guccione,Ghassan Kassab,Mark B. Ratcliffe Pdf

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.

Author : Esther Puyol Antón,Mihaela Pop,Carlos Martín-Isla,Maxime Sermesant,Avan Suinesiaputra,Oscar Camara,Karim Lekadir,Alistair Young
Publisher : Springer Nature
Page : 397 pages
File Size : 52,5 Mb
Release : 2022-01-14
Category : Computers
ISBN : 9783030937225

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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,Mihaela Pop,Carlos Martín-Isla,Maxime Sermesant,Avan Suinesiaputra,Oscar Camara,Karim Lekadir,Alistair Young Pdf

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.

Author : Esther Puyol Anton,Mihaela Pop,Maxime Sermesant,Victor Campello,Alain Lalande,Karim Lekadir,Avan Suinesiaputra,Oscar Camara,Alistair Young
Publisher : Springer Nature
Page : 427 pages
File Size : 54,7 Mb
Release : 2021-01-28
Category : Computers
ISBN : 9783030681074

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Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges by Esther Puyol Anton,Mihaela Pop,Maxime Sermesant,Victor Campello,Alain Lalande,Karim Lekadir,Avan Suinesiaputra,Oscar Camara,Alistair Young Pdf

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, 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.

Author : Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi
Publisher : Springer
Page : 497 pages
File Size : 53,7 Mb
Release : 2019-03-05
Category : Computers
ISBN : 9783030120290

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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges by Mihaela Pop,Maxime Sermesant,Jichao Zhao,Shuo Li,Kristin McLeod,Alistair Young,Kawal Rhode,Tommaso Mansi Pdf

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 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.

Author : Mihaela Pop,Maxime Sermesant,Oscar Camara,Xiahai Zhuang,Shuo Li,Alistair Young,Tommaso Mansi,Avan Suinesiaputra
Publisher : Springer Nature
Page : 426 pages
File Size : 41,7 Mb
Release : 2020-01-22
Category : Computers
ISBN : 9783030390747

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Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges by Mihaela Pop,Maxime Sermesant,Oscar Camara,Xiahai Zhuang,Shuo Li,Alistair Young,Tommaso Mansi,Avan Suinesiaputra Pdf

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 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.

Author : Oscar Camara,Esther Puyol-Antón,Chen Qin,Maxime Sermesant,Avan Suinesiaputra,Shuo Wang,Alistair Young
Publisher : Springer Nature
Page : 527 pages
File Size : 40,6 Mb
Release : 2023-01-27
Category : Computers
ISBN : 9783031234439

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Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers by Oscar Camara,Esther Puyol-Antón,Chen Qin,Maxime Sermesant,Avan Suinesiaputra,Shuo Wang,Alistair Young Pdf

This book constitutes the proceedings of the 13th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2022, held in conjunction with the 25th MICCAI conference. The 34 regular workshop papers included in this volume were carefully reviewed and selected after being revised and deal with topics such as: common cardiac segmentation and modelling problems to more advanced generative modelling for ageing hearts, learning cardiac motion using biomechanical networks, physics-informed neural networks for left atrial appendage occlusion, biventricular mechanics for Tetralogy of Fallot, ventricular arrhythmia prediction by using graph convolutional network, and deeper analysis of racial and sex biases from machine learning-based cardiac segmentation. In addition, 14 papers from the CMRxMotion challenge are included in the proceedings which aim to assess the effects of respiratory motion on cardiac MRI (CMR) imaging quality and examine the robustness of segmentation models in face of respiratory motion artefacts. A total of 48 submissions to the workshop was received.

Author : Oscar Camara,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Nic Smith,Alistair Young
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 40,6 Mb
Release : 2010-09-03
Category : Computers
ISBN : 9783642158346

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Statistical Atlases and Computational Models of the Heart by Oscar Camara,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Nic Smith,Alistair Young Pdf

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

Author : Oscar Camara,Tommaso Mansi,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Alistair Young
Publisher : Springer
Page : 272 pages
File Size : 54,6 Mb
Release : 2014-01-21
Category : Computers
ISBN : 9783642542688

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges by Oscar Camara,Tommaso Mansi,Mihaela Pop,Kawal Rhode,Maxime Sermesant,Alistair Young Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, held in conjunction with MICCAI 2013, in Nagoya, Japan, in September 2013. The 31 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; 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.

Author : Hui Yang,Bing Yao
Publisher : Springer Nature
Page : 96 pages
File Size : 54,8 Mb
Release : 2023-09-19
Category : Business & Economics
ISBN : 9783031359521

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Sensing, Modeling and Optimization of Cardiac Systems by Hui Yang,Bing Yao Pdf

This book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes. To improve cardiac care services and patients’ quality of life, it is very important to detect heart diseases early and optimize medical decision making. This book introduces recent research advances in machine learning, physics-based modeling, and simulation optimization to fully exploit medical data and promote the data-driven and simulation-guided diagnosis and treatment of heart disease. Specifically, it focuses on three major topics: computer modeling of cardiovascular systems, physiological signal processing for disease diagnostics and prognostics, and simulation optimization in medical decision making. It provides a comprehensive overview of recent advances in personalized cardiac modeling by integrating physics-based knowledge of the cardiovascular system with machine learning and multi-source medical data. It also discusses the state-of-the-art in electrocardiogram (ECG) signal processing for the identification of disease-altered cardiac dynamics. Lastly, it introduces readers to the early steps of optimal decision making based on the integration of sensor-based learning and simulation optimization in the context of cardiac surgeries. This book will be of interest to researchers and scholars in the fields of biomedical engineering, systems engineering and operations research, as well as professionals working in the medical sciences.

Author : Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publisher : Academic Press
Page : 456 pages
File Size : 46,8 Mb
Release : 2020-11-20
Category : Science
ISBN : 9780128202746

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Machine Learning in Cardiovascular Medicine by Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas Pdf

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 of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Author : Mihaela Pop,Maxime Sermesant,Pierre-Marc Jodoin,Alain Lalande,Xiahai Zhuang,Guang Yang,Alistair Young,Olivier Bernard
Publisher : Springer
Page : 260 pages
File Size : 50,6 Mb
Release : 2018-03-14
Category : Computers
ISBN : 9783319755410

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Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges by Mihaela Pop,Maxime Sermesant,Pierre-Marc Jodoin,Alain Lalande,Xiahai Zhuang,Guang Yang,Alistair Young,Olivier Bernard Pdf

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 cover a wide range of topics computational imaging and modelling of the heart, as well as statistical cardiac atlases. The topics of the workshop included: cardiac imaging and image processing, atlas construction, 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. Besides regular contributing papers, additional efforts of STACOM workshop were also focused on two challenges: ACDC and MM-WHS.

Author : Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner
Publisher : Frontiers Media SA
Page : 138 pages
File Size : 53,9 Mb
Release : 2020-10-09
Category : Medical
ISBN : 9782889660582

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Current and Future Role of Artificial Intelligence in Cardiac Imaging by Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner Pdf

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.