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Cardiovascular Computing—Methodologies and Clinical Applications

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Cover of 'Cardiovascular Computing—Methodologies and Clinical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Cardiovascular Anatomy and Physiology: Basic Principles and Challenges
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    Chapter 2 Current and Emerging Technologies for Cardiovascular Imaging
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    Chapter 3 Cardiac Mechanical Signals
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    Chapter 4 Time-Domain Analysis of the Electrocardiogram
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    Chapter 5 Estimation of Cardiovascular Variability
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    Chapter 6 Segmentation of Cardiac Structures
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    Chapter 7 Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images
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    Chapter 8 Intrinsic Cardiovascular Wave and Strain Imaging
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    Chapter 9 Image-Based Motion and Strain Estimation of the Vessel Wall
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    Chapter 10 Modelling the Electrical Activity of the Heart
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    Chapter 11 Mathematical and Computational Modelling of Blood Pressure and Flow
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    Chapter 12 Artificial Organs
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    Chapter 13 Tele-, Mobile- and Web-Based Technologies in Cardiovascular Medicine
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    Chapter 14 Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction
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    Chapter 15 Title Cardiovascular Big Data Analytics
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    Chapter 16 Ultrasound Asymptomatic Carotid Plaque Image Analysis for the Prediction of the Risk of Stroke
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    Chapter 17 Signal Analysis in Atrial Fibrillation
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    Chapter 18 Cardiovascular Computing in the Intensive Care Unit
Attention for Chapter 7: Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images
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Chapter title
Automated Techniques for Vessel Detection and Segmentation in Cardiovascular Images
Chapter number 7
Book title
Cardiovascular Computing—Methodologies and Clinical Applications
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-10-5092-3_7
Book ISBNs
978-9-81-105091-6, 978-9-81-105092-3
Authors

Kristen M. Meiburger, Cristina Caresio, Massimo Salvi, Filippo Molinari, Meiburger, Kristen M., Caresio, Cristina, Salvi, Massimo, Molinari, Filippo