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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:

Accuracy of Automated Computer-Aided Diagnosis for Stroke Imaging: A Critical Evaluation of Current Evidence
Joanna M. Wardlaw, Grant Mair, Rüdiger von Kummer, et al.
Stroke (2022) Vol. 53, Iss. 7, pp. 2393-2403
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial
Ju Gang Nam, Eui Jin Hwang, Jayoun Kim, et al.
Radiology (2023) Vol. 307, Iss. 2
Closed Access | Times Cited: 69
Collateral Circulation in Ischemic Stroke: An Updated Review
Gino Maguida, Ashfaq Shuaib
Journal of Stroke (2023) Vol. 25, Iss. 2, pp. 179-198
Open Access | Times Cited: 67
Reducing the global burden of cerebral venous thrombosis: An international research agenda
Jonathan M. Coutinho, Anita van de Munckhof, Diana Aguiar de Sousa, et al.
International Journal of Stroke (2024) Vol. 19, Iss. 6, pp. 599-610
Open Access | Times Cited: 7
A Novel Approach to Detect Stroke from 2D Images Using Deep Learning
Nezat Akter Chowdhury, Tanjim Mahmud, Anik Barua, et al.
Lecture notes in networks and systems (2024), pp. 239-253
Closed Access | Times Cited: 6
Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges
Daniel T. Wagner, Luke Tilmans, Kevin A. Peng, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2670-2670
Open Access | Times Cited: 11
Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke
Lynnet-Samuel J. Teichmann, Ahmed A. Khalil, Kersten Villringer, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Automated neuroradiological support systems for multiple cerebrovascular disease markers - A systematic review and meta-analysis
Jesse Phitidis, Alison Q. O’Neil, William Whiteley, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108715-108715
Open Access
Innovative Deep Learning Strategies for Early Detection of Brain Tumours in MRI Scans with a Modified ResNet50V2 Approach
Rashadul Islam Sumon, Md Ariful Islam Mazumder, Salma Akter, et al.
(2025), pp. 323-328
Closed Access
Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning
Yuqing Huang, Bastian Wittmann, Olga Demler, et al.
Lecture notes in computer science (2025), pp. 223-234
Closed Access
Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Detection and Diagnosis in Pediatric Radiology: A Systematic Review
Curtise K. C. Ng
Children (2023) Vol. 10, Iss. 3, pp. 525-525
Open Access | Times Cited: 10
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
APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges
Santiago Gómez, Edgar Rangel, Daniel Mantilla, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace
Matthias Söllner, Thomas Arnold, Alexander Benlian, et al.
Business & Information Systems Engineering (2025)
Open Access
End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis
Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, et al.
Lecture notes in computer science (2025), pp. 135-150
Closed Access
Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
Bradley J. MacIntosh, Qinghui Liu, Till Schellhorn, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 7
The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection
Natasha Hastings, Dany Samuel, Aariz N Ansari, et al.
Cureus (2024)
Open Access | Times Cited: 2
Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER
Jimin Kim, Se Won Oh, Ha Young Lee, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4621-4628
Closed Access | Times Cited: 2
Predictive value of clot imaging in acute ischemic stroke: A systematic review of artificial intelligence and conventional studies
Daniela Dumitriu LaGrange, Jérémy Hofmeister, Andrea Rosi, et al.
Neuroscience Informatics (2022) Vol. 3, Iss. 1, pp. 100114-100114
Open Access | Times Cited: 10
A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke
Jing Jing, Ziyang Liu, Hao Guan, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 6
Real-world evaluation of Brainomix e-Stroke software
Dermot Mallon, Matthew Fallon, Eirini Blana, et al.
Stroke and Vascular Neurology (2023) Vol. 9, Iss. 5, pp. 497-504
Open Access | Times Cited: 6
Accuracy of artificial intelligence software for CT angiography in stroke
Grant Mair, Phil White, Philip M. Bath, et al.
Annals of Clinical and Translational Neurology (2023) Vol. 10, Iss. 7, pp. 1072-1082
Open Access | Times Cited: 5
Early Ischemic Stroke Detection Using Deep Learning: A Systematic Literature Review
Karel Tan, Yohanes Amadeo Marvell, Alexander Agung Santoso Gunawan
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 7-11
Closed Access | Times Cited: 5
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study
Howell Fu, Alex Novak, Dennis Robert, et al.
BMJ Open (2024) Vol. 14, Iss. 2, pp. e079824-e079824
Open Access | Times Cited: 1
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities
Xue Li, Catherine Zou, Robert Boots, et al.
World Scientific Annual Review of Artificial Intelligence (2023) Vol. 01
Closed Access | Times Cited: 2
Deep learning-based segmentation of brain parenchyma and ventricular system in CT scans in the presence of anomalies
Annika Gerken, Sina Walluscheck, Peter Kohlmann, et al.
Frontiers in Neuroimaging (2023) Vol. 2
Open Access | Times Cited: 2
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