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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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