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Deep Generative Models

Overview of attention for book
Cover of 'Deep Generative Models'

Table of Contents

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    Book Overview
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    Chapter 1 Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging
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    Chapter 2 Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
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    Chapter 3 Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods
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    Chapter 4 What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
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    Chapter 5 Learning Generative Factors of EEG Data with Variational Auto-Encoders
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    Chapter 6 An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories
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    Chapter 7 Novel View Synthesis for Surgical Recording
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    Chapter 8 Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans
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    Chapter 9 Image Translation Based Nuclei Segmentation for Immunohistochemistry Images
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    Chapter 10 3D (c)GAN for Whole Body MR Synthesis
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    Chapter 11 Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis
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    Chapter 12 Brain Imaging Generation with Latent Diffusion Models
Attention for Chapter 11: Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis
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Chapter title
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis
Chapter number 11
Book title
Deep Generative Models
Published by
Springer Nature, January 2022
DOI 10.1007/978-3-031-18576-2_11
Book ISBNs
978-3-03-118575-5, 978-3-03-118576-2
Authors

Pakzad, Ashkan, Xu, Mou-Cheng, Cheung, Wing Keung, Vermant, Marie, Goos, Tinne, Sadeleer, Laurens J De, Verleden, Stijn E, Wuyts, Wim A, Hurst, John R, Jacob, Joseph, De Sadeleer, Laurens J., Verleden, Stijn E., Wuyts, Wim A., Hurst, John R.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 50%
Unknown 1 50%

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