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Functional Imaging and Modeling of the Heart

Overview of attention for book
Cover of 'Functional Imaging and Modeling of the Heart'

Table of Contents

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    Book Overview
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    Chapter 1 Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects
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    Chapter 2 Steps Towards Quantification of the Cardiological Stress Exam
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    Chapter 3 Personalization of Atrial Electrophysiology Models from Decapolar Catheter Measurements
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    Chapter 4 Automatic LV Feature Detection and Blood-Pool Tracking from Multi-plane TEE Time Series
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    Chapter 5 Assessment of Septal Motion Abnormalities in Left Bundle Branch Block Patients Using Computer Simulations
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    Chapter 6 Quantifying Structural and Functional Differences Between Normal and Fibrotic Ventricles
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    Chapter 7 Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis
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    Chapter 8 Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction
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    Chapter 9 Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT
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    Chapter 10 Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging
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    Chapter 11 Prediction of Clinical Information from Cardiac MRI Using Manifold Learning
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    Chapter 12 Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle
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    Chapter 13 Assessment of Myofiber Orientation in High Resolution Phase-Contrast CT Images
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    Chapter 14 Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium
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    Chapter 15 3D Farnebäck Optic Flow for Extended Field of View of Echocardiography
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    Chapter 16 Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound
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    Chapter 17 Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors
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    Chapter 18 Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography
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    Chapter 19 A Comprehensive Framework for the Characterization of the Complete Mitral Valve Geometry for the Development of a Population-Averaged Model
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    Chapter 20 Very High-Resolution Imaging of Post-Mortem Human Cardiac Tissue Using X-Ray Phase Contrast Tomography
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    Chapter 21 Viewpoint Recognition in Cardiac CT Images
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    Chapter 22 Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI
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    Chapter 23 Cardiac Fibers Estimation from Arbitrarily Spaced Diffusion Weighted MRI
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    Chapter 24 Cardiac Motion Estimation Using Ultrafast Ultrasound Imaging Tested in a Finite Element Model of Cardiac Mechanics
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    Chapter 25 Quantification of Gaps in Ablation Lesions Around the Pulmonary Veins in Delayed Enhancement MRI
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    Chapter 26 Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation
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    Chapter 27 Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints
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    Chapter 28 Subject Independent Reference Frame for the Left Ventricular Detailed Cardiac Anatomy
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    Chapter 29 Application of Diffuse Optical Reflectance to Measure Myocardial Wall Thickness and Presence of Infarct Scar: A Monte Carlo Simulation Study
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    Chapter 30 Automated Quantification of Myocardial Infarction Using a Hidden Markov Random Field Model and the EM Algorithm
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    Chapter 31 Cross-Frame Ultrasonic Color Doppler Flow Heart Image Unwrapping
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    Chapter 32 Orthogonal Shape Modes Describing Clinical Indices of Remodeling
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    Chapter 33 A Framework for Determination of Heart Valves’ Mechanical Properties Using Inverse-Modeling Approach
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    Chapter 34 Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis – A Case Study
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    Chapter 35 Relationship Between Cardiac Electrical and Mechanical Activation Markers by Coupling Bidomain and Deformation Models
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    Chapter 36 Influence of Polivinylalcohol Cryogel Material Model in FEM Simulations on Deformation of LV Phantom
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    Chapter 37 Image-Derived Human Left Ventricular Modelling with Fluid-Structure Interaction
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    Chapter 38 Functional Imaging and Modeling of the Heart
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    Chapter 39 Finite Element Simulations Explore a Novel Strategy for Surgical Repair of Congenital Aortic Valve Insufficiency
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    Chapter 40 Determining Anisotropic Myocardial Stiffness from Magnetic Resonance Elastography: A Simulation Study
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    Chapter 41 Myocardial Stiffness Estimation: A Novel Cost Function for Unique Parameter Identification
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    Chapter 42 Hemodynamics in Aortic Regurgitation Simulated Using a Computational Cardiovascular System Model
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    Chapter 43 How to Choose Myofiber Orientation in a Biventricular Finite Element Model?
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    Chapter 44 Microstructural Remodelling and Mechanics of Hypertensive Heart Disease
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    Chapter 45 Inverse Problem of Electrocardiography: Estimating the Location of Cardiac Ischemia in a 3D Realistic Geometry
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    Chapter 46 Sequential State Estimation for Electrophysiology Models with Front Level-Set Data Using Topological Gradient Derivations
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    Chapter 47 The Role of Endocardial Trabeculations in Low-Energy Defibrillation
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    Chapter 48 Computational Modelling of Low Voltage Resonant Drift of Scroll Waves in the Realistic Human Atria
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    Chapter 49 Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification
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    Chapter 50 Left and Right Atrial Contribution to the P-wave in Realistic Computational Models
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    Chapter 51 Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study
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    Chapter 52 Issues in Modeling Cardiac Optical Mapping Measurements
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    Chapter 53 Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations
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    Chapter 54 Sensitivity of the Electrocardiography Inverse Solution to the Torso Conductivity Uncertainties
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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3 X users
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2 patents

Citations

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16 Dimensions

Readers on

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202 Mendeley
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Title
Functional Imaging and Modeling of the Heart
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-20309-6
ISBNs
978-3-31-920308-9, 978-3-31-920309-6
Authors

Hans van Assen, Peter Bovendeerd, Tammo Delhaas

Editors

van Assen, Hans, Bovendeerd, Peter, Delhaas, Tammo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 2%
Spain 3 1%
France 3 1%
Norway 2 <1%
Germany 2 <1%
Portugal 1 <1%
Czechia 1 <1%
Canada 1 <1%
Turkey 1 <1%
Other 2 <1%
Unknown 181 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 30%
Researcher 39 19%
Student > Master 26 13%
Student > Doctoral Student 12 6%
Other 11 5%
Other 37 18%
Unknown 17 8%
Readers by discipline Count As %
Engineering 81 40%
Computer Science 33 16%
Medicine and Dentistry 23 11%
Agricultural and Biological Sciences 11 5%
Mathematics 7 3%
Other 18 9%
Unknown 29 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2021.
All research outputs
#5,886,496
of 22,815,414 outputs
Outputs from Lecture notes in computer science
#1,922
of 8,124 outputs
Outputs of similar age
#78,817
of 353,106 outputs
Outputs of similar age from Lecture notes in computer science
#84
of 257 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,106 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.