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:

Performance of deep learning-based autodetection of arterial stenosis on head and neck CT angiography: an independent external validation study
Yongwei Yang, Xinyue Huan, Dajing Guo, et al.
La radiologia medica (2023) Vol. 128, Iss. 9, pp. 1103-1115
Closed Access | Times Cited: 10

Showing 10 citing articles:

Artificial Intelligence in Vascular Diseases: From Clinical Practice to Medical Research and Education
Fabien Lareyre, Juliette Raffort
Angiology (2025)
Closed Access
A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study
Zhongping Guo, Ying Liu, Jingxu Xu, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
A Comparative Study of AI-Based Automated and Manual Postprocessing of Head and Neck CT Angiography: An Independent External Validation with Multi-Vendor and Multi-Center Data
Kunhua Li, Yang Yang, Shengwen Niu, et al.
Neuroradiology (2024) Vol. 66, Iss. 10, pp. 1765-1780
Closed Access | Times Cited: 1
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning
Yuqin Min, Jing Li, Shouqiang Jia, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Added value of artificial intelligence solutions for arterial stenosis detection on head and neck CT angiography: A randomized crossover multi-reader multi-case study
Kunhua Li, Yang Yang, Yongwei Yang, et al.
Diagnostic and Interventional Imaging (2024) Vol. 106, Iss. 1, pp. 11-21
Closed Access | Times Cited: 1
Research Progress of AI-Based Medical Imaging Examination in Quantitative Evaluation of Atherosclerotic Stenosis
欣玥 宦
Advances in Clinical Medicine (2024) Vol. 14, Iss. 04, pp. 615-622
Closed Access
Machine learning applications for vascular stenosis detection in computed tomography angiography: a systematic review and meta-analysis
Ali M. O. A. Anwer, Hacer Karacan, Levent Enver, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 17767-17786
Open Access
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
AI-Based Automated Quantification of Arterial Stenosis in Head and Neck CT Angiography: A Comparison with Manual Measurements from Digital Subtraction Angiography and CT Angiography
Xinyue Huan, Yang Yang, Shengwen Niu, et al.
Clinical Neuroradiology (2024)
Closed Access
Diagnostic value of head and neck computed tomography angiography in combination with color Doppler ultrasonography in carotid artery stenosis in ischemic stroke patients
Hui Liu, Zhenwei Zhao, Jin Xu, et al.
International Journal of Radiation Research (2024) Vol. 22, Iss. 4, pp. 869-873
Closed Access
Page 1

Scroll to top