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PRedictive Intelligence in MEdicine

Overview of attention for book
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
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
2 tweeters


2 Dimensions

Readers on

44 Mendeley
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PRedictive Intelligence in MEdicine
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-030-00320-3
978-3-03-000319-7, 978-3-03-000320-3

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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 5 11%
Researcher 4 9%
Student > Postgraduate 3 7%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 13 30%
Readers by discipline Count As %
Engineering 9 20%
Computer Science 9 20%
Physics and Astronomy 2 5%
Chemistry 2 5%
Energy 1 2%
Other 4 9%
Unknown 17 39%