Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis : First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings / edited by Qian Wang, Alberto Gomez, Jana Hutter, Kristin McLeod, Veronika Zimmer, Oliver Zettinig, Roxane Licandro, Emma Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne.

Format:

Book

Contributor:

Wang, Qian, Editor.

Gómez, Alberto, Editor.

Hutter, Jana, Editor.

McLeod, Kristin., Editor.

Zimmer, Veronika., Editor.

Zettinig, Oliver., Editor.

Licandro, Roxane, Editor.

Robinson, Emma, Editor.

Christiaens, Daan., Editor.

Turk, Esra Abaci., Editor.

Melbourne, Andrew, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11798

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11798

Language:

English

Subjects (All):

Artificial intelligence.

Image processing-Digital techniques.

Computer vision.

Application software.

Computer engineering.

Computer networks.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Local Subjects:

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer and Information Systems Applications.

Computer Engineering and Networks.

Physical Description:

1 online resource (XVII, 190 pages) : 97 illustrations, 68 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 10 full papers presented at SUSI 2019 and the 10 full papers presented at PIPPI 2019 were carefully reviewed and selected. The SUSI papers cover a wide range of medical applications of B-Mode ultrasound, including cardiac (echocardiography), abdominal (liver), fetal, musculoskeletal, and lung. The PIPPI papers cover the detailed scientific study of volumetric growth, myelination and cortical microstructure, placental structure and function.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-32875-7

9783030328757

Access Restriction:

Restricted for use by site license.