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:

Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke
Gang Xie, Ting Li, Yitao Ren, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 19

Showing 19 citing articles:

Radiomics using non-contrast CT to predict hemorrhagic transformation risk in stroke patients undergoing revascularization
JoonNyung Heo, Yongsik Sim, Byung Moon Kim, et al.
European Radiology (2024) Vol. 34, Iss. 9, pp. 6005-6015
Closed Access | Times Cited: 14
The value of CT-based radiomics in predicting hemorrhagic transformation in acute ischemic stroke patients without recanalization therapy
Huang Yin-hui, Zhenjie Chen, Ya‐Fang Chen, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 6
Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study
Yue Zhang, Gang Xie, Lingfeng Zhang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 5
Artificial intelligence in ischemic stroke images: current applications and future directions
Ying Liu, Zhongjian Wen, Yiren Wang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
Delta radiomics modeling based on CTP for predicting hemorrhagic transformation after intravenous thrombolysis in acute cerebral infarction: an 8-year retrospective pilot study
Xiao Wu, Yang Jin-fang, Xianqun Ji, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Predicting hemorrhagic transformation in acute ischemic stroke: a systematic review, meta-analysis, and methodological quality assessment of CT/MRI-based deep learning and radiomics models
Mohsen Salimi, Pouria Vadipour, Amir Reza Bahadori, et al.
Emergency Radiology (2025)
Closed Access
Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis (Preprint)
Benqiao Wang, Bo Jiang, Dan Liu, et al.
Journal of Medical Internet Research (2025)
Open Access
Artificial intelligence in emergency neuroradiology: Current applications and perspectives
Bo Gong, Farzad Khalvati, Birgit Ertl‐Wagner, et al.
Diagnostic and Interventional Imaging (2024)
Open Access | Times Cited: 3
RNA methylation patterns, immune characteristics, and autophagy-related mechanisms mediated by N6-methyladenosine (m6A) regulatory factors in venous thromboembolism
Deshuai Zhang, Wenxia Fu, Shiwei Zhu, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study
Jianmo Liu, Jingyi Li, Yifan Wu, et al.
Neuroscience (2024)
Open Access | Times Cited: 2
Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models
Mahbod Issaiy, Diana Zarei, Shahriar Kolahi, et al.
Journal of Neurology (2024) Vol. 272, Iss. 1
Open Access | Times Cited: 2
MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China
Jia Wang, Kuang I. Fu, Zhenqi Wang, et al.
BMC Neurology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
The value of radiomics-based hyperdense middle cerebral artery sign in predicting hemorrhagic transformation in acute ischemic stroke patients undergoing endovascular treatment
Chundan Gong, Yun Liu, Wei Ma, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Neuroimaging predictors of hemorrhagic transformation of ischemic stroke
L T Khasanova, E A Koltsova, M.Kh. Zashezova, et al.
S S Korsakov Journal of Neurology and Psychiatry (2024) Vol. 124, Iss. 12, pp. 34-34
Closed Access
How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke?
Jacobo Porto-Álvarez, Antonio J. Mosqueira, Javier Martínez Fernández, et al.
(2023)
Open Access | Times Cited: 1
The value of CT-based radiomics in predicting hemorrhagic transformation in acute ischemic stroke patients without recanalization therapy
Huang Yin-hui, Ya‐Fang Chen, Chi Cai, et al.
Research Square (Research Square) (2023)
Open Access
How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke?
Jacobo Porto-Álvarez, Antonio J. Mosqueira, Javier Martínez Fernández, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10061-10061
Open Access
RNA methylation patterns, immune characteristics, and autophagy- related mechanisms mediated by m6A regulatory factors in venous thromboembolism
Deshuai Zhang, Winxia Fu, Shiwei Zhu, et al.
Research Square (Research Square) (2023)
Open Access
Analýza vzťahov medzi radiomickými priznakmi heterogenity trombu v akútnych ischemických mozgových príhodách
Petra Nemčeková, Adam Škrváň, Marquering Henk, et al.
(2023)
Open Access
Page 1

Scroll to top