Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

Table of Contents

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   Book Overview
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   Chapter 1 Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis
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   Chapter 2 Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images
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   Chapter 3 Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound
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   Chapter 4 Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients
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   Chapter 5 Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis
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   Chapter 6 Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks
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   Chapter 7 Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation
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   Chapter 8 A Curriculum Learning Based Approach to Captioning Ultrasound Images
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    Chapter 9 Deep Image Translation for Enhancing Simulated Ultrasound Images
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    Chapter 10 Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction
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    Chapter 11 Augmented Reality-Based Lung Ultrasound Scanning Guidance
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    Chapter 12 Multimodality Biomedical Image Registration Using Free Point Transformer Networks
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    Chapter 13 Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning
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    Chapter 14 Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound
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    Chapter 15 Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
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    Chapter 16 Dual-Robotic Ultrasound System for In Vivo Prostate Tomography
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    Chapter 17 IoT-Based Remote Control Study of a Robotic Trans-Esophageal Ultrasound Probe via LAN and 5G
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    Chapter 18 Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking
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    Chapter 19 Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion
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    Chapter 20 3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network
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    Chapter 21 Atlas-Based Segmentation of the Human Embryo Using Deep Learning with Minimal Supervision
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    Chapter 22 Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI
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    Chapter 23 A Smartphone-Based System for Real-Time Early Childhood Caries Diagnosis
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    Chapter 24 Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
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    Chapter 25 Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach
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    Chapter 26 A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation
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    Chapter 27 Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks
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    Chapter 28 Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images
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    Chapter 29 Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels
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    Chapter 30 Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions
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    Chapter 31 Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents
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    Chapter 32 Automatic Detection of Neonatal Brain Injury on MRI
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    Chapter 33 Unbiased Atlas Construction for Neonatal Cortical Surfaces via Unsupervised Learning