Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images-Reference-Cited by-同舟云学术

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Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

Published:2022-01-12 Issue:2 Volume:49 Page:1034-1046
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Szentimrey Zachary¹,de Ribaupierre Sandrine²,Fenster Aaron³,Ukwatta Eranga¹

Affiliation:

1. School of Engineering University of Guelph Guelph Ontario Canada

2. Department of Clinical Neurological Sciences Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada

3. Robarts Research Institute University of Western Ontario London Ontario Canada

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15432

Reference36 articles.

1. 3D ultrasound system to investigate intraventricular hemorrhage in preterm neonates

2. Variations in intraventricular hemorrhage incidence rates among Canadian neonatal intensive care units

3. Quantitative 3-D head ultrasound measurements of ventricle volume to determine thresholds for preterm neonates requiring interventional therapies following posthemorrhagic ventricle dilatation

4. Neurodevelopmental Outcome of Extremely Low Birth Weight Infants With Posthemorrhagic Hydrocephalus Requiring Shunt Insertion

5. Can neurophysiological assessment improve timing of intervention in posthaemorrhagic ventricular dilatation?

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1. Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy;Medical Physics;2024-09-03

2. High‐level feature‐guided attention optimized neural network for neonatal lateral ventricular dilatation prediction;Medical Physics;2024-08-27

3. AN INTELLIGENT MODEL FOR BENIGN AND MALIGNANT PULMONARY NODULE ANALYSIS USING U-NET NETWORKS AND MULTILEVEL ATTENTION MECHANISMS;Journal of Mechanics in Medicine and Biology;2024-08-20

4. Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound;Medical Physics;2024-06-10

5. Neurosonography: Shaping the future of neuroprotection strategies in extremely preterm infants;Heliyon;2024-06

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