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:
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
Jing Jing, Ziyang Liu, Hao Guan, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 6
Showing 6 citing articles:
Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions
Mohammad Ennab, Hamid Mcheick
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 5
Mohammad Ennab, Hamid Mcheick
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 5
Early stroke behavior detection based on improved video masked autoencoders for potential patients
Meng Wang, Guanci Yang, Kexin Luo, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Meng Wang, Guanci Yang, Kexin Luo, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Artificial intelligence and stroke imaging
Jane Maryam Rondina, Parashkev Nachev
Current Opinion in Neurology (2024) Vol. 38, Iss. 1, pp. 40-46
Open Access | Times Cited: 1
Jane Maryam Rondina, Parashkev Nachev
Current Opinion in Neurology (2024) Vol. 38, Iss. 1, pp. 40-46
Open Access | Times Cited: 1
Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP)
Sukhdeep Singh Bal, Fan Yang, Nai‐Fang Chi, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Sukhdeep Singh Bal, Fan Yang, Nai‐Fang Chi, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Stroke Prognosis: The Impact of Combined Thrombotic, Lipid, and Inflammatory Markers
Lamia Mbarek, Aoming Jin, Yuesong Pan, et al.
Journal of Atherosclerosis and Thrombosis (2024)
Open Access
Lamia Mbarek, Aoming Jin, Yuesong Pan, et al.
Journal of Atherosclerosis and Thrombosis (2024)
Open Access
The performance of machine learning for predicting the recurrent stroke: a systematic review and meta-analysis on 24,350 patients
Mohammad Amin Habibi, Farhang Rashidi, Ehsan Mehrtabar, et al.
Acta Neurologica Belgica (2024)
Closed Access
Mohammad Amin Habibi, Farhang Rashidi, Ehsan Mehrtabar, et al.
Acta Neurologica Belgica (2024)
Closed Access
