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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26…

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Cover of 'Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Left Atrial Segmentation Challenge: A Unified Benchmarking Framework
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    Chapter 2 Automatic Segmentation of the Left Atrium on CT Images
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    Chapter 3 Multi-atlas-Based Segmentation of the Left Atrium and Pulmonary Veins
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    Chapter 4 Model-Based Segmentation of the Left Atrium in CT and MRI Scans
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    Chapter 5 Toward an Automatic Left Atrium Localization Based on Shape Descriptors and Prior Knowledge
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    Chapter 6 Decision Forests for Segmentation of the Left Atrium from 3D MRI
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    Chapter 7 Multiscale Study on Hemodynamics in Patient-Specific Thoracic Aortic Coarctation
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    Chapter 8 Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition
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    Chapter 9 Sensitivity Analysis of the Boundary Conditions in Simulations of the Flow in an Aortic Coarctation under Rest and Stress Conditions
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    Chapter 10 Patient-Specific Hemodynamic Evaluation of an Aortic Coarctation under Rest and Stress Conditions
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    Chapter 11 Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
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    Chapter 12 A Multiscale Filtering-Based Parameter Estimation Method for Patient-Specific Coarctation Simulations in Rest and Exercise
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    Chapter 13 A Finite Element CFD Simulation for Predicting Patient-Specific Hemodynamics of an Aortic Coarctation
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    Chapter 14 Traditional CFD Boundary Conditions Applied to Blood Analog Flow through a Patient-Specific Aortic Coarctation
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    Chapter 15 Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning
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    Chapter 16 Dyadic Tensor-Based Interpolation of Tensor Orientation: Application to Cardiac DT-MRI
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    Chapter 17 Continuous Spatio-temporal Atlases of the Asymptomatic and Infarcted Hearts
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    Chapter 18 Progress on Customization of Predictive MRI-Based Macroscopic Models from Experimental Data
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    Chapter 19 Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography
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    Chapter 20 Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions
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    Chapter 21 A Unified Statistical/Deterministic Deformable Model for LV Segmentation in Cardiac MRI
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    Chapter 22 Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models
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    Chapter 23 Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation
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    Chapter 24 Automatic Extraction of the 3D Left Ventricular Diastolic Transmitral Vortex Ring from 3D Whole-Heart Phase Contrast MRI Using Laplace-Beltrami Signatures
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    Chapter 25 Direct Myocardial Strain Assessment from Frequency Estimation in Tagging MRI
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    Chapter 26 Estimation of Electrical Pathways Finding Minimal Cost Paths from Electro-Anatomical Mapping of the Left Ventricle
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    Chapter 27 Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization
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    Chapter 28 Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images
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    Chapter 29 Self Stabilization of Image Attributes for Left Ventricle Segmentation
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    Chapter 30 A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation
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    Chapter 31 Image-Based Estimation of Myocardial Acceleration Using TDFFD: A Phantom Study
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Title
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 26, 2013. Revised Selected Papers
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-54268-8
ISBNs
978-3-64-254267-1, 978-3-64-254268-8
Editors

Camara, Oscar, Young, Alistair, Sermesant, Maxime, Rhode, Kawal, Pop, Mihaela, Mansi, Tommaso

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Unknown 91 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Researcher 8 9%
Student > Master 8 9%
Other 5 5%
Student > Doctoral Student 4 4%
Other 3 3%
Unknown 50 54%
Readers by discipline Count As %
Engineering 15 16%
Computer Science 7 8%
Physics and Astronomy 3 3%
Medicine and Dentistry 3 3%
Agricultural and Biological Sciences 2 2%
Other 7 8%
Unknown 56 60%