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:

FetalGAN: Automated Segmentation of Fetal Functional Brain MRI Using Deep Generative Adversarial Learning and Multi-Scale 3D U-Net
Josepheen De Asis‐Cruz, Dhineshvikram Krishnamurthy, Chris Jose, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 15

Showing 15 citing articles:

Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy
Yao Wu, Josepheen De Asis‐Cruz, Catherine Limperopoulos
Molecular Psychiatry (2024) Vol. 29, Iss. 7, pp. 2223-2240
Open Access | Times Cited: 22

A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation
Zelong Liu, Komal Kainth, Alexander Zhou, et al.
NMR in Biomedicine (2024) Vol. 37, Iss. 8
Open Access | Times Cited: 11

Review on deep learning fetal brain segmentation from Magnetic Resonance images
Tommaso Ciceri, Letizia Squarcina, Alice Giubergia, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102608-102608
Open Access | Times Cited: 21

A modified deep semantic binarization network for degradation removal in palm leaf manuscripts
Bipin Nair B J, N. Shobha Rani
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62937-62969
Closed Access | Times Cited: 7

A transformer-based generative adversarial network for brain tumor segmentation
Liqun Huang, Enjun Zhu, Long Chen, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 28

Cycle generative adversarial Transformer network for MRI brain tumor segmentation
Muqing Zhang, Qiule Sun, Yutong Han, et al.
Neural Computing and Applications (2025)
Closed Access

Generative Adversarial Networks in Brain Imaging: A Decade-Long Review of Progress and Future Directions
Hala Shaari
Journal of Pure & Applied Sciences (2025) Vol. 24, Iss. 1, pp. 73-103
Open Access

Evaluating the effects of volume censoring on fetal functional connectivity
Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Kevin M. Cook, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges
Mengjiao Hu, Cosimo Nardi, Haihong Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2302-2302
Open Access | Times Cited: 5

Funcmasker-flex: An Automated BIDS-App for Brain Segmentation of Human Fetal Functional MRI data
Emily S. Nichols, Susana Correa, Peter Van Dyken, et al.
Neuroinformatics (2023) Vol. 21, Iss. 3, pp. 565-573
Closed Access | Times Cited: 4

Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images
Jian Chen, Ruihan Lu, Shilin Ye, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 823-834
Closed Access | Times Cited: 3

One model, two brains: Automatic fetal brain extraction from MR images of twins
Jian Chen, Ruihan Lu, Bin Jing, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 112, pp. 102330-102330
Closed Access

Machine Learning Algorithms for Pregnant Women
Priyadarsan Parida, Sonali Dash, Ranjita Rout
Advances in computational intelligence and robotics book series (2023), pp. 327-350
Closed Access

Artificial intelligence applications of fetal brain and cardiac MRI
Jing‐Ya Ren, Ming Zhu, Suzhen Dong
Chinese Journal of Academic Radiology (2022) Vol. 5, Iss. 4, pp. 217-222
Closed Access

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