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:
Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements
Farzan Vahedifard, H Ai, Mark Supanich, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2355-2355
Open Access | Times Cited: 7
Farzan Vahedifard, H Ai, Mark Supanich, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2355-2355
Open Access | Times Cited: 7
Showing 7 citing articles:
Automatic Localization of the Pons and Vermis on Fetal Brain MR Imaging Using a U-Net Deep Learning Model
Farzan Vahedifard, Xuchu Liu, Jubril Adepoju, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 10, pp. 1191-1200
Closed Access | Times Cited: 3
Farzan Vahedifard, Xuchu Liu, Jubril Adepoju, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 10, pp. 1191-1200
Closed Access | Times Cited: 3
Artificial Intelligence Prediction of Gestational Age of Fetal in Brain Magnetic Resonance Imaging versus ultrasound Using three different Biometric Measurements
Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, et al.
(2023)
Open Access | Times Cited: 2
Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, et al.
(2023)
Open Access | Times Cited: 2
Automated Classification and Size Estimation of Fetal Ventriculomegaly from MRI Images: A Comparative Study of Deep Learning Segmentation Approaches
K. Gopikrishna, N R Niranjan, Siddharth Maurya, et al.
Procedia Computer Science (2024) Vol. 233, pp. 743-752
Open Access
K. Gopikrishna, N R Niranjan, Siddharth Maurya, et al.
Procedia Computer Science (2024) Vol. 233, pp. 743-752
Open Access
Fetal Gestational Age Prediction in Brain Magnetic Resonance Imaging Using Artificial Intelligence: A Comparative Study of Three Biometric Techniques
Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, et al.
Reproductive Medicine (2024) Vol. 5, Iss. 3, pp. 113-135
Open Access
Farzan Vahedifard, Xuchu Liu, Kranthi K. Marathu, et al.
Reproductive Medicine (2024) Vol. 5, Iss. 3, pp. 113-135
Open Access
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data
Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, et al.
Lecture notes in computer science (2024), pp. 437-447
Closed Access
Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, et al.
Lecture notes in computer science (2024), pp. 437-447
Closed Access
Enhancing Prenatal Diagnosis: Automated Fetal Brain MRI Morphometry
Ema Masterl, Anja Parkelj, Tina Vipotnik Vesnaver, et al.
Lecture notes in computer science (2024), pp. 105-116
Closed Access
Ema Masterl, Anja Parkelj, Tina Vipotnik Vesnaver, et al.
Lecture notes in computer science (2024), pp. 105-116
Closed Access
Design and development of a deep learning model for brain abnormality detection using MRI
Mahesh Pandurang Potadar, Raghunath S. Holambe, R. H. Chile
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Mahesh Pandurang Potadar, Raghunath S. Holambe, R. H. Chile
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 1
