Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II

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Publisher : Frontiers Media SA
ISBN 13 : 283253046X
Total Pages : 204 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II by : Steffen Erhard Petersen

Download or read book Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II written by Steffen Erhard Petersen and published by Frontiers Media SA. This book was released on 2023-10-30 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our first Research Topic entitled “Current and Future Role of Artificial Intelligence in Cardiac Imaging” provided comprehensive reviews of the recent advances and potential impact of AI for a range of cardiac imaging applications and remains available as an e-book to download at no cost. Since this first set of publications, the field has moved at pace and it is timely to now invite further up-to-date and topical reviews but importantly original research articles via our Research Topic “Current and Future Role of Artificial Intelligence in Cardiac Imaging 2.0”.

Current and Future Role of Artificial Intelligence in Cardiac Imaging

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Publisher : Frontiers Media SA
ISBN 13 : 2889660583
Total Pages : 138 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Current and Future Role of Artificial Intelligence in Cardiac Imaging by : Steffen Erhard Petersen

Download or read book Current and Future Role of Artificial Intelligence in Cardiac Imaging written by Steffen Erhard Petersen and published by Frontiers Media SA. This book was released on 2020-10-09 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Cardiothoracic Imaging

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Publisher : Springer Nature
ISBN 13 : 3030920879
Total Pages : 582 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence in Cardiothoracic Imaging by : Carlo N. De Cecco

Download or read book Artificial Intelligence in Cardiothoracic Imaging written by Carlo N. De Cecco and published by Springer Nature. This book was released on 2022-04-22 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

Machine Learning in Cardiovascular Medicine

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Publisher : Academic Press
ISBN 13 : 0128202734
Total Pages : 454 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref, M.D.

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref, M.D. and published by Academic Press. This book was released on 2020-12-11 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence in Medical Imaging

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Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 369 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Machine Learning in Cardiovascular Medicine

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Publisher : Academic Press
ISBN 13 : 0128202742
Total Pages : 456 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref and published by Academic Press. This book was released on 2020-11-20 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

AI and Big Data in Cardiology

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Publisher : Springer Nature
ISBN 13 : 3031050711
Total Pages : 220 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis AI and Big Data in Cardiology by : Nicolas Duchateau

Download or read book AI and Big Data in Cardiology written by Nicolas Duchateau and published by Springer Nature. This book was released on 2023-05-04 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.

Cardiovascular Computed Tomography

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Publisher : Oxford University Press, USA
ISBN 13 : 0198809271
Total Pages : 577 pages
Book Rating : 4.1/5 (988 download)

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Book Synopsis Cardiovascular Computed Tomography by : James Stirrup

Download or read book Cardiovascular Computed Tomography written by James Stirrup and published by Oxford University Press, USA. This book was released on 2020-01-02 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a marked increase in cardiovascular computed tomography (CT) imaging, with the technique now integrated into many imaging guidelines, such as those published by ESC and NICE. Rapid clinical and technological progress has created a need for guidance on the practical aspects of CT image acquisition, analysis and interpretation. The Oxford Specialist Handbook of Cardiovascular CT, now revised for the second edition by practising international experts with many years of hands-on experience, is designed to fulfil this need. The Handbook is a practical guide on performing, analysing and interpreting cardiovascular CT scans, covering all aspects from patient safety to optimal image acquisition to differential diagnoses of tricky images. It takes an international approach to both accreditation and certification, highlighting British, European, and American examinations and courses. The format is designed to be accessible and is laid out in easy to navigate sections. It is meant as a quick-reference guide, to live near the CT scanner, workstation, or on the office shelf. The Handbook is aimed at all cardiovascular CT users (Cardiologists, Radiologists and Radiographers), particularly those new to cardiovascular CT, although even the advanced user should find useful tips and tricks within.

Artificial Intelligence in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Medical Imaging Informatics

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Publisher : Springer Science & Business Media
ISBN 13 : 1441903852
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Medical Imaging Informatics by : Alex A.T. Bui

Download or read book Medical Imaging Informatics written by Alex A.T. Bui and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.

The Smart Cyber Ecosystem for Sustainable Development

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Publisher : John Wiley & Sons
ISBN 13 : 1119761662
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis The Smart Cyber Ecosystem for Sustainable Development by : Pardeep Kumar

Download or read book The Smart Cyber Ecosystem for Sustainable Development written by Pardeep Kumar and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

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Publisher : McGraw Hill Professional
ISBN 13 : 1260452743
Total Pages : 432 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice by : Daniel A. Hashimoto

Download or read book Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice written by Daniel A. Hashimoto and published by McGraw Hill Professional. This book was released on 2021-03-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning Natural Language Processing Computer Vision Surgical Education and Simulation Preoperative Risk Stratification Intraoperative Video Analysis OR Black Box and Tracking of Intraoperative Events Artificial Intelligence and Robotic Surgery Natural Language Processing for Clinical Documentation Leveraging Artificial Intelligence in the EMR Ethical Implications of Artificial Intelligence in Surgery Artificial Intelligence and Health Policy Assessing Strengths and Weaknesses of Artificial Intelligence Research Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.

Stress Echocardiography

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Publisher : Springer
ISBN 13 : 3319209582
Total Pages : 758 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Stress Echocardiography by : Eugenio Picano

Download or read book Stress Echocardiography written by Eugenio Picano and published by Springer. This book was released on 2015-10-06 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: This sixth edition is enriched by over 300 figures, 150 tables and a video-companion collecting more than 100 cases also presented in the format of short movies and teaching cartoons. This extensively revised and enlarged edition of this long-seller documents the very significant advances made since the fifth (2009) edition and is entirely written by Eugenio Picano, a pioneer in the field sharing his lifetime experience with the help of an international panel of 50 contributors from 22 countries representing some of the best available knowledge and expertise in their respective field. In a societal and economic climate of increasing pressure for appropriate, justified and optimized imaging, stress echocardiography offers the great advantages of being radiation-free, relatively low cost, and with a staggering versatility: we can get more (information) with less (cost and risk). For a long time, the scope and application of stress echo remained focused on coronary artery disease. In the last ten years, it has exploded in its breadth and variety of applications. From a black-and-white, one-fits-all approach (wall motion by 2D-echo in the patient with known or suspected coronary artery disease) now we have moved on to a omnivorous, next-generation laboratory employing a variety of technologies (from M-Mode to 2D and pulsed, continuous, color and tissue Doppler, to lung ultrasound and real time 3D echo, 2D speckle tracking and myocardial contrast echo) on patients covering the entire spectrum of severity (from elite athletes to patients with end-stage heart failure) and ages (from children with congenital heart disease to the elderly with low-flow, low-gradient aortic stenosis).

CT of the Heart

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Publisher : Humana Press
ISBN 13 : 1603272372
Total Pages : 904 pages
Book Rating : 4.6/5 (32 download)

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Book Synopsis CT of the Heart by : U. Joseph Schoepf

Download or read book CT of the Heart written by U. Joseph Schoepf and published by Humana Press. This book was released on 2019-04-01 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive and richly-illustrated guide to cardiac CT, its current state, applications, and future directions. While the first edition of this text focused on what was then a novel instrument looking for application, this edition comes at a time where a wealth of guideline-driven, robust, and beneficial clinical applications have evolved that are enabled by an enormous and ever growing field of technology. Accordingly, the focus of the text has shifted from a technology-centric to a more patient-centric appraisal. While the specifications and capabilities of the CT system itself remain front and center as the basis for diagnostic success, much of the benefit derived from cardiac CT today comes from avant-garde technologies enabling enhanced visualization, quantitative imaging, and functional assessment, along with exciting deep learning, and artificial intelligence applications. Cardiac CT is no longer a mere tool for non-invasive coronary artery stenosis detection in the chest pain diagnostic algorithms; cardiac CT has proven its value for uses as diverse as personalized cardiovascular risk stratification, prediction, and management, diagnosing lesion-specific ischemia, guiding minimally invasive structural heart disease therapy, and planning cardiovascular surgery, among many others. This second edition is an authoritative guide and reference for both novices and experts in the medical imaging sciences who have an interest in cardiac CT.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

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Publisher : Springer
ISBN 13 : 3319675583
Total Pages : 399 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : M. Jorge Cardoso

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-07 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Current Practice Of Echocardiography Volume -2

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Author :
Publisher : BFC Publications
ISBN 13 : 9357645527
Total Pages : 575 pages
Book Rating : 4.3/5 (576 download)

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Book Synopsis Current Practice Of Echocardiography Volume -2 by : Dr K C Verma

Download or read book Current Practice Of Echocardiography Volume -2 written by Dr K C Verma and published by BFC Publications. This book was released on 2023-08-18 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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Author :
Publisher : Springer
ISBN 13 : 3319755412
Total Pages : 267 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges by : Mihaela Pop

Download or read book Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges written by Mihaela Pop and published by Springer. This book was released on 2018-03-14 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.