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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 Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks
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    Chapter 2 Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI
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    Chapter 3 Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation
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    Chapter 4 Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN
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    Chapter 5 A Machine Learning Approach to Diffusion MRI Partial Volume Estimation
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    Chapter 6 Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks
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    Chapter 7 Deep Boosted Regression for MR to CT Synthesis
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    Chapter 8 Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia
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    Chapter 9 MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer’s Classification
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    Chapter 10 Tubular Network Formation Process Using 3D Cellular Potts Model
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    Chapter 11 Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images
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    Chapter 12 Lung Nodule Synthesis Using CNN-Based Latent Data Representation
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    Chapter 13 RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours
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    Chapter 14 Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models
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Simulation and Synthesis in Medical Imaging
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-030-00536-8
978-3-03-000535-1, 978-3-03-000536-8

Gooya, Ali, Goksel, Orcun, Oguz, Ipek, Burgos, Ninon

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Ph. D. Student 3 15%
Student > Master 3 15%
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 8 40%
Readers by discipline Count As %
Computer Science 6 30%
Engineering 3 15%
Medicine and Dentistry 1 5%
Mathematics 1 5%
Unknown 9 45%