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PRedictive Intelligence in MEdicine

Overview of attention for book
Cover of 'PRedictive Intelligence in MEdicine'

Table of Contents

  1. Altmetric Badge
    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
Attention for Chapter 2: Prediction of Severity and Treatment Outcome for ASD from fMRI
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Citations

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Summary X Dimensions citations
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Chapter title
Prediction of Severity and Treatment Outcome for ASD from fMRI
Chapter number 2
Book title
PRedictive Intelligence in MEdicine
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-00320-3_2
Pubmed ID
32984867
Book ISBNs
978-3-03-000319-7, 978-3-03-000320-3
Authors

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan, Zhuang, Juntang, Dvornek, Nicha C., Li, Xiaoxiao, Ventola, Pamela, Duncan, James S.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 4 21%
Student > Master 3 16%
Student > Bachelor 1 5%
Other 1 5%
Other 0 0%
Unknown 6 32%
Readers by discipline Count As %
Neuroscience 3 16%
Psychology 3 16%
Computer Science 2 11%
Engineering 2 11%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 October 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from arXiv
#678,530
of 949,639 outputs
Outputs of similar age
#271,521
of 311,572 outputs
Outputs of similar age from arXiv
#21,207
of 23,986 outputs
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So far Altmetric has tracked 949,639 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,572 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,986 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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