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Deep Generative Models

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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 6: An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories
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Chapter title
An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories
Chapter number 6
Book title
Deep Generative Models
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-18576-2_6
Book ISBNs
978-3-03-118575-5, 978-3-03-118576-2
Authors

Chadebec, Clément, Huijben, Evi M. C., Pluim, Josien P. W., Allassonnière, Stéphanie, van Eijnatten, Maureen A. J. M.

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