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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 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
Attention for Chapter 2: Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study
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Citations

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Chapter title
Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study
Chapter number 2
Book title
Predictive Intelligence in Medicine
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-32281-6_2
Book ISBNs
978-3-03-032280-9, 978-3-03-032281-6
Authors

Alina Giger, Christoph Jud, Damien Nguyen, Miriam Krieger, Ye Zhang, Antony J. Lomax, Oliver Bieri, Rares Salomir, Philippe C. Cattin, Giger, Alina, Jud, Christoph, Nguyen, Damien, Krieger, Miriam, Zhang, Ye, Lomax, Antony J., Bieri, Oliver, Salomir, Rares, Cattin, Philippe C.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Unspecified 2 15%
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Lecturer 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Physics and Astronomy 5 38%
Unspecified 2 15%
Computer Science 1 8%
Medicine and Dentistry 1 8%
Unknown 4 31%