Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length —Feasibility on a Portable Ultrasound Device

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ISSN Print: 2160-8792
ISSN Online: 2160-8806
www.scirp.org/journal/ojog
E-mail: ojog@scirp.org

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"Automatic Detection and Measurement of Fetal Biparietal Diameter and Femur Length —Feasibility on a Portable Ultrasound Device"
written by Naiad Hossain Khan, Eva Tegnander, Johan Morten Dreier, Sturla Eik-Nes, Hans Torp, Gabriel Kiss,
published by Open Journal of Obstetrics and Gynecology, Vol.7 No.3, 2017

has been cited by the following article(s):

[1]	BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
	… Image Computing and …, 2022

[2]	Automatic linear measurements of the fetal brain on MRI with deep neural networks
	2021

[3]	AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes
	2021

[4]	Fetal brain MRI measurements using a deep learning landmark network with reliability estimation
	Sira… - Uncertainty for Safe …, 2021

[5]	Automatic Measurements of Fetal Lateral Ventricles in 2D Ultrasound Images Using Deep Learning
	2020

[6]	Feature Selection in Fetal Biometrics for Abnormality Detection in Ultrasound Images
	Nature Inspired Optimization Techniques for Image Processing Applications, 2019

[7]	Automatic femur length measurement for fetal ultrasound image using localizing region-based active contour method
	2019

[8]	Fully automatic segmentation and measurement of the fetal femur
	2018

[9]	Feature Selection in Fetal Biometrics for Abnormality Detection
	2018

[10]	Automatic Measurement of Fetal Abdominal Biometric Parameters—Feasibility on a Portable Ultrasound Device
	2017

[1]	Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester Neuroinformatics, 2023 DOI:10.1007/s12021-023-09635-5

[2]	Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-031-16440-8_27

[3]	Automatic linear measurements of the fetal brain on MRI with deep neural networks International Journal of Computer Assisted Radiology and Surgery, 2021 DOI:10.1007/s11548-021-02436-8

[4]	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis Lecture Notes in Computer Science, 2021 DOI:10.1007/978-3-030-87735-4_20

[5]	Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 Lecture Notes in Computer Science, 2021 DOI:10.1007/978-3-030-87234-2_22

[6]	Automatic Measurements of Fetal Lateral Ventricles in 2D Ultrasound Images Using Deep Learning Frontiers in Neurology, 2020 DOI:10.3389/fneur.2020.00526

[7]	Nature Inspired Optimization Techniques for Image Processing Applications Intelligent Systems Reference Library, 2019 DOI:10.1007/978-3-319-96002-9_12

[8]	Automatic Measurement of Fetal Abdominal Biometric Parameters—Feasibility on a Portable Ultrasound Device Open Journal of Obstetrics and Gynecology, 2017 DOI:10.4236/ojog.2017.78093

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