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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 TADPOLE Challenge: Accurate Alzheimer’s Disease Prediction Through Crowdsourced Forecasting of Future Data
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    Chapter 2 Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study
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    Chapter 3 Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI
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    Chapter 4 Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening
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    Chapter 5 Modeling Disease Progression in Retinal OCTs with Longitudinal Self-supervised Learning
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    Chapter 6 Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI
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    Chapter 7 Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection
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    Chapter 8 Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model
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    Chapter 9 7 Years of Developing Seed Techniques for Alzheimer’s Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis
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    Chapter 10 Generative Adversarial Irregularity Detection in Mammography Images
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    Chapter 11 Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph
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    Chapter 12 Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-resolution Neighborhoods
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    Chapter 13 Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks
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    Chapter 14 Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment
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    Chapter 15 Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning
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    Chapter 16 Automatic Detection of Bowel Disease with Residual Networks
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    Chapter 17 Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer’s Disease
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    Chapter 18 Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks
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Predictive Intelligence in Medicine
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-32281-6
978-3-03-032280-9, 978-3-03-032281-6

Rekik, Islem, Adeli, Ehsan, Park, Sang Hyun

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