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Simulation and Synthesis in Medical Imaging

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Cover of 'Simulation and Synthesis in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Empirical Bayesian Mixture Models for Medical Image Translation
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    Chapter 2 Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning
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    Chapter 3 Unpaired Multi-contrast MR Image Synthesis Using Generative Adversarial Networks
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    Chapter 4 Unsupervised Retina Image Synthesis via Disentangled Representation Learning
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    Chapter 5 Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies
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    Chapter 6 Breast Mass Detection in Mammograms via Blending Adversarial Learning
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    Chapter 7 Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features
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    Chapter 8 Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
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    Chapter 9 Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images
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    Chapter 10 Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning
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    Chapter 11 Physics-Informed Brain MRI Segmentation
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    Chapter 12 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning
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    Chapter 13 Cycle-Consistent Training for Reducing Negative Jacobian Determinant in Deep Registration Networks
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    Chapter 14 iSMORE: An Iterative Self Super-Resolution Algorithm
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    Chapter 15 An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images
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    Chapter 16 Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network
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mendeley
21 Mendeley
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Title
Simulation and Synthesis in Medical Imaging
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-32778-1
ISBNs
978-3-03-032777-4, 978-3-03-032778-1
Editors

Burgos, Ninon, Gooya, Ali, Svoboda, David

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Researcher 2 10%
Student > Master 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 12 57%
Readers by discipline Count As %
Engineering 4 19%
Computer Science 2 10%
Medicine and Dentistry 1 5%
Unknown 14 67%