Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Artificial intelligence applied to fetal MRI: A scoping review of current research
R. Meshaka, Trevor Gaunt, Susan C. Shelmerdine
British Journal of Radiology (2022)
Open Access | Times Cited: 18

Showing 18 citing articles:

A Theoretical Exploration of Artificial Intelligence’s Impact on Feto-Maternal Health from Conception to Delivery
Ishfaq Yaseen, Riyaz Ahmad Rather
International Journal of Women s Health (2024) Vol. Volume 16, pp. 903-915
Open Access | Times Cited: 9
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
Machine learning and disease prediction in obstetrics
Zara Arain, Stamatina Iliodromiti, Greg Slabaugh, et al.
Current Research in Physiology (2023) Vol. 6, pp. 100099-100099
Open Access | Times Cited: 17
Fetal MRI: what’s new? A short review
Lucia Manganaro, Silvia Capuani, Marco Gennarini, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 17
Prediction of Fetal Brain and Heart Abnormalties using Artificial Intelligence Algorithms: A Review
Ashish Shiwlani
American Journal of Biomedical Science & Research (2024) Vol. 22, Iss. 3, pp. 456-466
Open Access | Times Cited: 7
Assessing radiologists’ and radiographers’ perceptions on artificial intelligence integration: opportunities and challenges
Badera Al Mohammad, Afnan Aldaradkeh, Monther Gharaibeh, et al.
British Journal of Radiology (2024) Vol. 97, Iss. 1156, pp. 763-769
Open Access | Times Cited: 6
Technologies for non-invasive physiological sensing: Status, challenges, and future horizons
Yang Yu, Bhavya Jain, Gautam Anand, et al.
Biosensors and Bioelectronics X (2023) Vol. 16, pp. 100420-100420
Open Access | Times Cited: 13
Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes
Dharmesh J Patel, Kamlesh Chaudhari, Neema Acharya, et al.
Cureus (2024)
Open Access | Times Cited: 4
Bridging Gaps in Artificial Intelligence Adoption for Maternal-Fetal and Obstetric Care: Unveiling Transformative Capabilities and Challenges
Kalyan Tadepalli, Abhijit Das, Tanushree Meena, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108682-108682
Closed Access
Decoding the mind: A RAG-LLM on ICD-11 for decision support in psychology
Marco Cremaschi, Davide Ditolve, Cesare Curcio, et al.
Expert Systems with Applications (2025), pp. 127191-127191
Closed Access
Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image
P. Soleimani, Navid Farezi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging
Farzan Vahedifard, Jubril Adepoju, Mark Supanich, et al.
World Journal of Clinical Cases (2023) Vol. 11, Iss. 16, pp. 3725-3735
Open Access | Times Cited: 7
What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals
A. M. Fischer, Anna L. Rietveld, Pim W. Teunissen, et al.
BMJ Open (2023) Vol. 13, Iss. 10, pp. e076017-e076017
Open Access | Times Cited: 2
Automatic Fetal Fat Quantification from MRI
Netanell Avisdris, Aviad Rabinowich, Daniel Fridkin, et al.
Lecture notes in computer science (2022), pp. 25-37
Closed Access | Times Cited: 4

Ashish Shiwlani, Muhammad Umar, Fiza Saeed, et al.
American Journal of Biomedical Science & Research (2024) Vol. 22, Iss. 3
Open Access
Prenatal imaging advances: physiology and function to motion correction and AI—introductory editorial
Trevor Gaunt
British Journal of Radiology (2023) Vol. 96, Iss. 1147
Closed Access | Times Cited: 1
Fetal and Maternal Diseases in Pregnancy: From Morphology to Function
Gabriele Masselli
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1117-1117
Open Access | Times Cited: 1
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
Page 1

Scroll to top