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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 HIFU Treatment of Liver Cancer – Reciprocal Effect of Blood Flow and US Studied from a Patient-Specific Configuration
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    Chapter 2 An Inter-Projection Interpolation (IPI) Approach with Geometric Model Restriction to Reduce Image Dose in Cone Beam CT (CBCT)
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    Chapter 3 Adaptive Sampling and Non Linear Reconstruction for Cardiac Magnetic Resonance Imaging
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    Chapter 4 A Feasibility Study on Kinematic Feature Extraction from the Human Interventricular Septum toward Hypertension Classification
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    Chapter 5 Analysis of Cardiac MRI Based Regional Timing of Left Ventricular Mechanical Contraction as a Biomarker for Electrical Dyssynchrony in Heart-Failure Patients
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    Chapter 6 A Parallel Adaptive Physics-Based Non-rigid Registration Framework for Brain Tumor Resection
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    Chapter 7 Curvature-Based Registration for Slice Interpolation of Medical Images
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    Chapter 8 Well-Posed Gaussian-Like Models for Image Denoising and Sharpening
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    Chapter 9 Pattern Classes in Retinal Fundus Images Based on Function Norms
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    Chapter 10 Identification of Distinct Blood Vessels in Retinal Fundus Images
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    Chapter 11 Segmentation of Two-Phase Flow: A Free Representation for Levet Set Method with a Priori Knowledge
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    Chapter 12 Analysis and Segmentation of a Three-Dimensional X-ray Computed Tomography Image of a Textile Composite
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    Chapter 13 Image Segmentation by Image Analogies
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    Chapter 14 Improving Atlas-Based Medical Image Segmentation with a Relaxed Object Search
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    Chapter 15 Extended Edge-Weighted Centroidal Voronoi Tessellation for Image Segmentation
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    Chapter 16 Knapsack Intersection Graphs and Efficient Computation of Their Maximal Cliques
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    Chapter 17 Characterization of a Novel Imaging-Based Metric of Patellofemoral Separation Using Computational Modeling
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    Chapter 18 Feature-Sensitive and Adaptive Mesh Generation of Grayscale Images
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    Chapter 19 Subdividing Prismatic Meshes by Cutting Flow
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    Chapter 20 Segmentation of Skin Lesions Using Level Set Method
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    Chapter 21 Wavelet-Based Computer-Aided Detection of Bright Lesions in Retinal Fundus Images
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    Chapter 22 Computing Probabilistic Optical Flow Using Markov Random Fields
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    Chapter 23 Detection of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac MRI Data
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    Chapter 24 Numerical Simulation from Medical Images: Accurate Integration by Means of the Cartesian Grid Finite Element Method
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    Chapter 25 Nonlinear Transformation of the Distance Function in the Nearest Neighbor Image Recognition
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    Chapter 26 A New Method to Improve Quality of Reconstructed Images in Tomography
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    Chapter 27 A General Framework for Nonlinear Regularized Krylov-Based Image Restoration
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    Chapter 28 Image Restoration of Phase Contrast Nano Scale X-ray CT Images
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    Chapter 29 Predictive Modeling for 2D Form Design
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    Chapter 30 Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport
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    Chapter 31 Element Stiffness Matrix Integration in Image-Based Cartesian Grid Finite Element Method
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    Chapter 32 Pixel Based Meshfree Modeling of Skeletal Muscles
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    Chapter 33 Modelling of Bioimpedance Measurements: Application to Sensitivity Analysis
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    Chapter 34 Flow Simulations on 3D Segmented Images Using Reinitialization and Anisotropic Mesh Adaptation
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    Chapter 35 UAVision: A Modular Time-Constrained Vision Library for Color-Coded Object Detection
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    Chapter 36 Time-of-Flight Camera Based Virtual Reality Interaction for Balance Rehabilitation Purposes
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    Chapter 37 A Random Decision Forests Approach to Face Detection
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    Chapter 38 A Data-Driven Investigation and Estimation of Optimal Topologies under Variable Loading Configurations
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    Chapter 39 Innovative On-line Handwriting Identification Algorithm Based on Stroke Features
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Title
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-09994-1
ISBNs
978-3-31-909993-4, 978-3-31-909994-1
Editors

Yongjie Jessica Zhang, João Manuel R. S. Tavares

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%