Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 DeepCS: Deep Convolutional Neural Network and SVM Based Single Image Super-Resolution
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Altmetric BadgeChapter 2 Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images
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Altmetric BadgeChapter 3 Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning
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Altmetric BadgeChapter 4 Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response
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Altmetric BadgeChapter 5 Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction
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Altmetric BadgeChapter 6 Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound
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Altmetric BadgeChapter 7 Automatic Shadow Detection in 2D Ultrasound Images
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Altmetric BadgeChapter 8 Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas
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Altmetric BadgeChapter 9 Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach
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Altmetric BadgeChapter 10 Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach
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Altmetric BadgeChapter 11 Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding
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Altmetric BadgeChapter 12 EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers
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Altmetric BadgeChapter 13 Better Feature Matching for Placental Panorama Construction
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Altmetric BadgeChapter 14 Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS
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Altmetric BadgeChapter 15 LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images
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Altmetric BadgeChapter 16 Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks
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Altmetric BadgeChapter 17 Paediatric Liver Segmentation for Low-Contrast CT Images