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Perinatal, Preterm and Paediatric Image Analysis

Overview of attention for book
Cover of 'Perinatal, Preterm and Paediatric Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 FetMRQC: Automated Quality Control for Fetal Brain MRI
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    Chapter 2 A Deep Learning Approach for Segmenting the Subplate and Proliferative Zones in Fetal Brain MRI
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    Chapter 3 Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline
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    Chapter 4 Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator
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    Chapter 5 Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling
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    Chapter 6 The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
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    Chapter 7 Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
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    Chapter 8 Visualization and Quantification of Placental Vasculature Using MRI
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    Chapter 9 The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI
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    Chapter 10 Automatic Infant Respiration Estimation from Video: A Deep Flow-Based Algorithm and a Novel Public Benchmark
Attention for Chapter 6: The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
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Chapter title
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
Chapter number 6
Book title
Perinatal, Preterm and Paediatric Image Analysis
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-45544-5_6
Book ISBNs
978-3-03-145543-8, 978-3-03-145544-5
Authors

Prokopenko, Denis, Hammernik, Kerstin, Roberts, Thomas, Lloyd, David F. A., Rueckert, Daniel, Hajnal, Joseph V.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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