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:
Non-Contrast CT-Based Radiomics Score for Predicting Hematoma Enlargement in Spontaneous Intracerebral Hemorrhage
Hui Li, Yuanliang Xie, Huan Liu, et al.
Clinical Neuroradiology (2021) Vol. 32, Iss. 2, pp. 517-528
Closed Access | Times Cited: 14
Hui Li, Yuanliang Xie, Huan Liu, et al.
Clinical Neuroradiology (2021) Vol. 32, Iss. 2, pp. 517-528
Closed Access | Times Cited: 14
Showing 14 citing articles:
Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of noncontrast computed tomography
Changfeng Feng, Zhongxiang Ding, Qun Lao, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 2908-2920
Closed Access | Times Cited: 12
Changfeng Feng, Zhongxiang Ding, Qun Lao, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 2908-2920
Closed Access | Times Cited: 12
Classification and prediction of chemoradiotherapy response and survival from esophageal carcinoma histopathology images
Yu Chen, Ruihuan Gao, Di Jing, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 312, pp. 124030-124030
Open Access | Times Cited: 4
Yu Chen, Ruihuan Gao, Di Jing, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 312, pp. 124030-124030
Open Access | Times Cited: 4
An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study
Hao Zhang, Yunfeng Yang, Xue-Lin Song, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Hao Zhang, Yunfeng Yang, Xue-Lin Song, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Quality assessment of stroke radiomics studies: Promoting clinical application
Beomseok Sohn, So Yeon Won
European Journal of Radiology (2023) Vol. 161, pp. 110752-110752
Closed Access | Times Cited: 6
Beomseok Sohn, So Yeon Won
European Journal of Radiology (2023) Vol. 161, pp. 110752-110752
Closed Access | Times Cited: 6
A Radiomics Model Based on CT Images Combined with Multiple Machine Learning Models to Predict the Prognosis of Spontaneous Intracerebral Hemorrhage
Lei Pei, Tao Fang, Liang Xu, et al.
World Neurosurgery (2023) Vol. 181, pp. e856-e866
Open Access | Times Cited: 6
Lei Pei, Tao Fang, Liang Xu, et al.
World Neurosurgery (2023) Vol. 181, pp. e856-e866
Open Access | Times Cited: 6
Research advances in predicting the expansion of hypertensive intracerebral hemorrhage based on CT images: an overview
Min Ai, Hanghang Zhang, Junbang Feng, et al.
PeerJ (2024) Vol. 12, pp. e17556-e17556
Open Access | Times Cited: 1
Min Ai, Hanghang Zhang, Junbang Feng, et al.
PeerJ (2024) Vol. 12, pp. e17556-e17556
Open Access | Times Cited: 1
A Comparative Study of a Nomogram and Machine Learning Models in Predicting Early Hematoma Expansion in Hypertensive Intracerebral Hemorrhage
Haoyi Ye, Yang Jiang, Zhihua Wu, et al.
Academic Radiology (2024)
Open Access | Times Cited: 1
Haoyi Ye, Yang Jiang, Zhihua Wu, et al.
Academic Radiology (2024)
Open Access | Times Cited: 1
Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage
Yuanliang Xie, Faxiang Chen, Hui Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 10, pp. 4900-4913
Open Access | Times Cited: 7
Yuanliang Xie, Faxiang Chen, Hui Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 10, pp. 4900-4913
Open Access | Times Cited: 7
A Nomogram Based on CT Radiomics and Clinical Risk Factors for Prediction of Prognosis of Hypertensive Intracerebral Hemorrhage
Caiyun Fang, Xiao An, Kejian Li, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
Caiyun Fang, Xiao An, Kejian Li, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
NCCT Markers of Intracerebral Hemorrhage Expansion Using Revised Criteria: An External Validation of Their Predictive Accuracy
Célina Ducroux, Ahmad Nehme, Bastien Rioux, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 6, pp. 658-664
Open Access | Times Cited: 3
Célina Ducroux, Ahmad Nehme, Bastien Rioux, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 6, pp. 658-664
Open Access | Times Cited: 3
Early Prediction of Cerebral Computed Tomography under Intelligent Segmentation Algorithm Combined with Serological Indexes for Hematoma Enlargement after Intracerebral Hemorrhage
Wenting Xu, Weizhou Tang, Liangqun Wu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 3
Wenting Xu, Weizhou Tang, Liangqun Wu, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 3
Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis
Yihua Liu, Fengfeng Zhao, Enjing Niu, et al.
Neuroradiology (2024) Vol. 66, Iss. 9, pp. 1603-1616
Closed Access
Yihua Liu, Fengfeng Zhao, Enjing Niu, et al.
Neuroradiology (2024) Vol. 66, Iss. 9, pp. 1603-1616
Closed Access
Need for Transparency and Clinical Interpretability in Hemorrhagic Stroke Artificial Intelligence Research: Promoting Effective Clinical Application
Chae Young Lim, Beomseok Sohn, Minjung Seong, et al.
Yonsei Medical Journal (2024) Vol. 65, Iss. 10, pp. 611-611
Open Access
Chae Young Lim, Beomseok Sohn, Minjung Seong, et al.
Yonsei Medical Journal (2024) Vol. 65, Iss. 10, pp. 611-611
Open Access
Prognostic value of nomogram model based on clinical risk factors and CT radiohistological features in hypertensive intracerebral hemorrhage
Gui Lu, Guodong Zhang, Jiaqi Zhang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
Gui Lu, Guodong Zhang, Jiaqi Zhang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
