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Reconstruction, Segmentation, and Analysis of Medical Images

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Cover of 'Reconstruction, Segmentation, and Analysis of Medical Images'

Table of Contents

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    Book Overview
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    Chapter 1 Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
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    Chapter 2 Motion Correction Using Subpixel Image Registration
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    Chapter 3 Incompressible Phase Registration for Motion Estimation from Tagged Magnetic Resonance Images
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    Chapter 4 Robust Reconstruction of Accelerated Perfusion MRI Using Local and Nonlocal Constraints
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    Chapter 5 Graph-Based 3D-Ultrasound Reconstruction of the Liver in the Presence of Respiratory Motion
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    Chapter 6 Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method
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    Chapter 7 Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
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    Chapter 8 Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
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    Chapter 9 Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease
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    Chapter 10 3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes
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    Chapter 11 Automatic Whole-Heart Segmentation in Congenital Heart Disease Using Deeply-Supervised 3D FCN
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    Chapter 12 A GPU Based Diffusion Method for Whole-Heart and Great Vessel Segmentation
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    Chapter 13 Fully-Automatic Segmentation of Cardiac Images Using 3-D MRF Model Optimization and Substructures Tracking
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    Chapter 14 Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients
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    Chapter 15 Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets
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    Chapter 16 Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method
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    Chapter 17 Total Variation Random Forest: Fully Automatic MRI Segmentation in Congenital Heart Diseases
Attention for Chapter 14: Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients
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Chapter title
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients
Chapter number 14
Book title
Reconstruction, Segmentation, and Analysis of Medical Images
Published by
MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, January 2017
DOI 10.1007/978-3-319-52280-7_14
Book ISBNs
978-3-31-952279-1, 978-3-31-952280-7
Authors

Zuluaga, MA, Biffi, B, Taylor, AM, Schievano, S, Vercauteren, T, Ourselin, S, Maria A. Zuluaga, Benedetta Biffi, Andrew M. Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin, Zuluaga, Maria A., Biffi, Benedetta, Taylor, Andrew M., Schievano, Silvia, Vercauteren, Tom, Ourselin, Sébastien

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 9%
Lecturer 1 9%
Student > Doctoral Student 1 9%
Professor 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Business, Management and Accounting 1 9%
Agricultural and Biological Sciences 1 9%
Engineering 1 9%
Unknown 5 45%