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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound
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    Chapter 2 Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors
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    Chapter 3 Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images
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    Chapter 4 Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
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    Chapter 5 SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images
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    Chapter 6 Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound
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    Chapter 8 Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks
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    Chapter 9 Deep Learning-Based Pneumothorax Detection in Ultrasound Videos
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    Chapter 10 Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging
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    Chapter 11 Estimation of Preterm Birth Markers with U-Net Segmentation Network
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    Chapter 13 Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation
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    Chapter 14 Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI
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    Chapter 15 Plug-and-Play Priors for Reconstruction-Based Placental Image Registration
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    Chapter 16 A Longitudinal Study of the Evolution of the Central Sulcus’ Shape in Preterm Infants Using Manifold Learning
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    Chapter 18 Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair
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    Chapter 19 Quantifying Residual Motion Artifacts in Fetal fMRI Data
Attention for Chapter 4: Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Chapter title
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach
Chapter number 4
Book title
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
Published in
arXiv, October 2019
DOI 10.1007/978-3-030-32875-7_4
Book ISBNs
978-3-03-032874-0, 978-3-03-032875-7
Authors

Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod, Gilbert, Andrew, Holden, Marit, Eikvil, Line, Aase, Svein Arne, Samset, Eigil, McLeod, Kristin

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 5 19%
Student > Master 3 12%
Student > Bachelor 2 8%
Other 1 4%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Computer Science 9 35%
Engineering 6 23%
Medicine and Dentistry 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2019.
All research outputs
#14,879,188
of 24,093,053 outputs
Outputs from arXiv
#262,290
of 1,018,817 outputs
Outputs of similar age
#191,004
of 355,916 outputs
Outputs of similar age from arXiv
#8,993
of 29,003 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 355,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29,003 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.