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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Standard Plane Identification in Fetal Brain Ultrasound Scans Using a Differential Convolutional Neural Network
Ruowei Qu, Guizhi Xu, Chunxia Ding, et al.
IEEE Access (2020) Vol. 8, pp. 83821-83830
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A review on deep-learning algorithms for fetal ultrasound-image analysis
Maria Chiara Fiorentino, Francesca Pia Villani, Mariachiara Di Cosmo, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102629-102629
Open Access | Times Cited: 101
Fetal health classification from cardiotocographic data using machine learning
Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian Webber, et al.
Expert Systems (2021) Vol. 39, Iss. 6
Closed Access | Times Cited: 61
A review of image processing methods for fetal head and brain analysis in ultrasound images
Helena R. Torres, Pedro Morais, Bruno Oliveira, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106629-106629
Open Access | Times Cited: 37
Application and Progress of Artificial Intelligence in Fetal Ultrasound
Sushan Xiao, Junmin Zhang, Ye Zhu, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 9, pp. 3298-3298
Open Access | Times Cited: 29
Artificial intelligence in obstetric ultrasound: A scoping review
Rebecca Horgan, Lea Nehme, Alfred Abuhamad
Prenatal Diagnosis (2023) Vol. 43, Iss. 9, pp. 1176-1219
Open Access | Times Cited: 24
Logarithmic Learning Differential Convolutional Neural Network
Magombe Yasin, Mehmet Sarıgül, Mutlu Avcı
Neural Networks (2024) Vol. 172, pp. 106114-106114
Closed Access | Times Cited: 13
An ensemble deep learning framework for foetal plane identification
Seena Thomas, Sandhya Harikumar
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1377-1386
Closed Access | Times Cited: 11
Standard fetal ultrasound plane classification based on stacked ensemble of deep learning models
Thunakala Bala Krishna, Priyanka Kokil
Expert Systems with Applications (2023) Vol. 238, pp. 122153-122153
Closed Access | Times Cited: 17
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images
Ruiyu Qiu, Mengqiang Zhou, Jieyun Bai, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 10, pp. 2975-2986
Open Access | Times Cited: 6
Use of artificial intelligence and deep learning in fetal ultrasound imaging
Ruben Ramirez Zegarra, T. Ghi
Ultrasound in Obstetrics and Gynecology (2022) Vol. 62, Iss. 2, pp. 185-194
Closed Access | Times Cited: 26
Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images
Mahmood Alzubaidi, Marco Agus, Khalid Alyafei, et al.
iScience (2022) Vol. 25, Iss. 8, pp. 104713-104713
Open Access | Times Cited: 24
Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers
Haifa Ghabri, Mohammed S. Alqahtani, Ben Othman Soufiene, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Prenatal Diagnostics Using Deep Learning: A Dual Approach to Plane Localization and Cerebellum Segmentation in Ultrasound Images
D. Vetriselvi, R. Thenmozhi
Journal of Clinical Ultrasound (2025)
Closed Access
Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes
Fatima Rauf, Muhammad Attique Khan, Ali Bashir, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches
Ramin Yousefpour Shahrivar, Fatemeh Karami, Ebrahim Karami
Biomimetics (2023) Vol. 8, Iss. 7, pp. 519-519
Open Access | Times Cited: 9
Automatic measurement of fetal femur length in ultrasound images: a comparison of random forest regression model and SegNet
Fengcheng Zhu, Mengyuan Liu, Feifei Wang, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 6, pp. 7790-7805
Open Access | Times Cited: 21
The Two-Stage Ensemble Learning Model Based on Aggregated Facial Features in Screening for Fetal Genetic Diseases
Jiajie Tang, Jin Han, Bingbing Xie, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 3, pp. 2377-2377
Open Access | Times Cited: 8
Locating Multiple Standard Planes in First-Trimester Ultrasound Videos via the Detection and Scoring of Key Anatomical Structures
Chaojiong Zhen, Hongzhang Wang, Jun Cheng, et al.
Ultrasound in Medicine & Biology (2023) Vol. 49, Iss. 9, pp. 2006-2016
Closed Access | Times Cited: 8
An improvement for the automatic classification method for ultrasound images used on CNN
Kuldoshbay Avazov, Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, et al.
International Journal of Wavelets Multiresolution and Information Processing (2021) Vol. 20, Iss. 02
Closed Access | Times Cited: 19
Graph-enhanced ensembles of multi-scale structure perception deep architecture for fetal ultrasound plane recognition
Zhan Gao, Guanghua Tan, Chunlian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108885-108885
Closed Access | Times Cited: 2
Convolutional Neural Network to Detect and Measure Fetal Skull Circumference in Ultrasound Imaging
Everton Leonardo Skeika, Mathias Rodrigues da Luz, Bruno Fernandes, et al.
IEEE Access (2020) Vol. 8, pp. 191519-191529
Open Access | Times Cited: 19
Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion
Xiaoli Wang, Zhonghua Liu, Yongzhao Du, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 17
Automatic identification and segmentation of slice of minimal hiatal dimensions in transperineal ultrasound volumes
Frieda van den Noort, Claudia Manzini, C. H. van der Vaart, et al.
Ultrasound in Obstetrics and Gynecology (2021) Vol. 60, Iss. 4, pp. 570-576
Open Access | Times Cited: 16
TUSPM-NET: A multi-task model for thyroid ultrasound standard plane recognition and detection of key anatomical structures of the thyroid
Pan Zeng, Shunlan Liu, Shaozheng He, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107069-107069
Closed Access | Times Cited: 6
Artificial intelligence as a new answer to old challenges in maternal-fetal medicine and obstetrics
Edin Medjedović, Milan Stanojević, Sabaheta Jonuzovic-Prosic, et al.
Technology and Health Care (2023) Vol. 32, Iss. 3, pp. 1273-1287
Closed Access | Times Cited: 6
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