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 for prediction of intracerebral hemorrhage outcomes: A retrospective multicenter study
Xiaoyu Huang, Dan Wang, Qiaoying Zhang, et al.
NeuroImage Clinical (2022) Vol. 36, pp. 103242-103242
Open Access | Times Cited: 12
Xiaoyu Huang, Dan Wang, Qiaoying Zhang, et al.
NeuroImage Clinical (2022) Vol. 36, pp. 103242-103242
Open Access | Times Cited: 12
Showing 12 citing articles:
Deep learning-assisted detection and segmentation of intracranial hemorrhage in noncontrast computed tomography scans of acute stroke patients: a systematic review and meta-analysis
Ping Hu, Tengfeng Yan, Bing Xiao, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 5
Ping Hu, Tengfeng Yan, Bing Xiao, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 5
Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients: A systematic review and meta-analysis
Zanyar HajiEsmailPoor, Zana Kargar, Mansoureh Baradaran, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111652-111652
Closed Access | Times Cited: 5
Zanyar HajiEsmailPoor, Zana Kargar, Mansoureh Baradaran, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111652-111652
Closed Access | Times Cited: 5
Predicting postoperative rehemorrhage in hypertensive intracerebral hemorrhage using noncontrast CT radiomics and clinical data with an interpretable machine learning approach
Weigong Wang, Jinlong Dai, Jibo Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Weigong Wang, Jinlong Dai, Jibo Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Enhancing Outcome Prediction in Intracerebral Hemorrhage Through Deep Learning: A Retrospective Multicenter Study
Dan Wang, Jing Zhang, Hao Dong, et al.
Academic Radiology (2024)
Open Access | Times Cited: 2
Dan Wang, Jing Zhang, Hao Dong, et al.
Academic Radiology (2024)
Open Access | Times Cited: 2
A nomogram incorporating CT-based peri-hematoma radiomics features to predict functional outcome in patients with intracerebral hemorrhage
Xiaona Xia, Jieqiong Liu, Jiufa Cui, et al.
European Journal of Radiology (2024) Vol. 183, pp. 111871-111871
Closed Access | Times Cited: 2
Xiaona Xia, Jieqiong Liu, Jiufa Cui, et al.
European Journal of Radiology (2024) Vol. 183, pp. 111871-111871
Closed Access | Times Cited: 2
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
The relationship between perihematomal edema and hematoma expansion in acute spontaneous intracerebral hemorrhage: an exploratory radiomics analysis study
Zhiming Zhou, Xiaojia Wu, Yuanyuan Chen, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Zhiming Zhou, Xiaojia Wu, Yuanyuan Chen, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Clasificadores de aprendizaje supervisado no lineales basados en radiómica de la TC cerebral sin contraste para predecir el pronóstico funcional en pacientes con hematoma intracerebral espontáneo
Elena Serrano, Javier Moreno, Laura Llull, et al.
Radiología (2023) Vol. 65, Iss. 6, pp. 519-530
Closed Access | Times Cited: 2
Elena Serrano, Javier Moreno, Laura Llull, et al.
Radiología (2023) Vol. 65, Iss. 6, pp. 519-530
Closed Access | Times Cited: 2
Radiomic-based nonlinear supervised learning classifiers on non-contrast CT to predict functional prognosis in patients with spontaneous intracerebral hematoma
Elena Serrano, Javier Moreno, Laura Llull, et al.
Radiología (English Edition) (2023) Vol. 65, Iss. 6, pp. 519-530
Closed Access | Times Cited: 2
Elena Serrano, Javier Moreno, Laura Llull, et al.
Radiología (English Edition) (2023) Vol. 65, Iss. 6, pp. 519-530
Closed Access | Times Cited: 2
Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan
Yutong Chen, Cyprien Rivier, Samantha Mora, et al.
European Stroke Journal (2024)
Open Access
Yutong Chen, Cyprien Rivier, Samantha Mora, et al.
European Stroke Journal (2024)
Open Access
Endovascular treatment of ruptured basilar trunk aneurysms: complications and long-term outcomes
Yuange Bi, Xiaopeng Song, Xiaohan Chen, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 11, pp. 107957-107957
Closed Access
Yuange Bi, Xiaopeng Song, Xiaohan Chen, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 11, pp. 107957-107957
Closed Access
Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)
Fiona Dierksen, J Sommer, Tran Anh Tuan, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2827-2827
Open Access
Fiona Dierksen, J Sommer, Tran Anh Tuan, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2827-2827
Open Access
