Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis
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Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis


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International Edition


About the Book

First Workshop on Smart UltraSound Imaging.- Straight to the point: reinforcement learning for user guidance in ultrasound.- Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT using Content-based Retrieval and Kinematic Priors.- Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images.- Automated left ventricle dimension measurement in 2D cardiac ultrasound via an anatomically meaningful CNN approach.- SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images.- Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound.- Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion.- Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks.- Deep Learning-based Pneumothorax Detection in Ultrasound Videos.- Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging.- 4th Workshop on Perinatal, Preterm and Paediatric Image Analysis.- Estimation of preterm birth markers with U-Net segmentation network.- Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.- Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation.- Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI.- Plug-and-Play Priors for Reconstruction-based Placental Image Registration.- A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants using Manifold Learning.- Prediction of failure of induction of labor (IOL) from ultrasound images using radioman features.- Longitudinal analysis of fetal MRI in patients with prenatal spina bifida repair.- Quantifying Residual Motion Artifacts in Fetal fMRI Data.- Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR.


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Product Details
  • ISBN-13: 9783030328740
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 190
  • Spine Width: 11 mm
  • Weight: 354 gr
  • ISBN-10: 3030328740
  • Publisher Date: 13 Oct 2019
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: First International Workshop, Susi 2019, and 4th International Workshop, Pippi 2019, Held in Conjunction with Miccai 2019, Shenzhen, China, October
  • Width: 156 mm


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