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Simulation and Synthesis in Medical Imaging

Overview of attention for book
Cover of 'Simulation and Synthesis in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data
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    Chapter 2 Deep MR to CT Synthesis Using Unpaired Data
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    Chapter 3 Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
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    Chapter 4 A Supervoxel Based Random Forest Synthesis Framework for Bidirectional MR/CT Synthesis
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    Chapter 5 Region-Enhanced Joint Dictionary Learning for Cross-Modality Synthesis in Diffusion Tensor Imaging
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    Chapter 6 Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results
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    Chapter 7 Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets
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    Chapter 8 High Order Slice Interpolation for Medical Images
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    Chapter 9 A Monte Carlo Framework for Low Dose CT Reconstruction Testing
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    Chapter 10 Multimodal Simulations in Live Cell Imaging
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    Chapter 11 Medical Image Processing and Numerical Simulation for Digital Hepatic Parenchymal Blood Flow
Attention for Chapter 7: Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets
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Citations

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Chapter title
Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets
Chapter number 7
Book title
Simulation and Synthesis in Medical Imaging
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-68127-6_7
Book ISBNs
978-3-31-968126-9, 978-3-31-968127-6
Authors

Le Zhang, Ali Gooya, Alejandro F. Frangi, Zhang, Le, Gooya, Ali, Frangi, Alejandro F.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Ph. D. Student 6 14%
Researcher 5 12%
Student > Postgraduate 4 10%
Student > Bachelor 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Computer Science 16 38%
Engineering 8 19%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 12 29%

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