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Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities

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Cover of 'Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities'

Table of Contents

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    Book Overview
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    Chapter 1 Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
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    Chapter 2 A Graph Representation and Similarity Measure for Brain Networks with Nodal Features
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    Chapter 3 Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion
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    Chapter 4 BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification
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    Chapter 5 Modeling Brain Networks with Artificial Neural Networks
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    Chapter 6 A Bayesian Disease Progression Model for Clinical Trajectories
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    Chapter 7 Multi-modal Brain Connectivity Study Using Deep Collaborative Learning
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    Chapter 8 Towards Subject and Diagnostic Identifiability in the Alzheimer’s Disease Spectrum Based on Functional Connectomes
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    Chapter 9 Predicting Conversion of Mild Cognitive Impairments to Alzheimer’s Disease and Exploring Impact of Neuroimaging
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    Chapter 10 Cross-diagnostic Prediction of Dimensional Psychiatric Phenotypes in Anorexia Nervosa and Body Dysmorphic Disorder Using Multimodal Neuroimaging and Psychometric Data
Attention for Chapter 3: Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion
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