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PRedictive Intelligence in MEdicine

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Cover of 'PRedictive Intelligence in MEdicine'

Table of Contents

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    Book Overview
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    Chapter 1 Computer Aided Identification of Motion Disturbances Related to Parkinson’s Disease
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    Chapter 2 Prediction of Severity and Treatment Outcome for ASD from fMRI
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    Chapter 3 Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network
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    Chapter 4 Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer’s Disease
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    Chapter 5 Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study
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    Chapter 6 Predictive Patient Care: Survival Model to Prevent Medication Non-adherence
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    Chapter 7 Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data
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    Chapter 8 Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease
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    Chapter 9 Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations
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    Chapter 10 Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer’s Disease Diagnosis
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    Chapter 11 Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI
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    Chapter 12 Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning
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    Chapter 13 Predicting Emotional Intelligence Scores from Multi-session Functional Brain Connectomes
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    Chapter 14 Predictive Modeling of Longitudinal Data for Alzheimer’s Disease Diagnosis Using RNNs
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    Chapter 15 Towards Continuous Health Diagnosis from Faces with Deep Learning
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    Chapter 16 XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference
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    Chapter 17 3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer’s Disease Diagnosis
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    Chapter 18 Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI
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    Chapter 19 Diffusion MRI Spatial Super-Resolution Using Generative Adversarial Networks
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    Chapter 20 Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks
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