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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:

Radiomic markers of intracerebral hemorrhage expansion on non-contrast CT: independent validation and comparison with visual markers
Stefan P. Haider, Adnan I. Qureshi, Abhi Jain, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12

Showing 12 citing articles:

Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran Anh Tuan, Tal Zeevi, Stefan P. Haider, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 9
Radiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival
Saif Zaman, Fiona Dierksen, Avery Knapp, et al.
Diagnostics (2024) Vol. 14, Iss. 9, pp. 944-944
Open Access | Times Cited: 6
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
Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome
Gaby Abou Karam, M. Keith Chen, Dorin Zeevi, et al.
Diagnostics (2024) Vol. 14, Iss. 3, pp. 308-308
Open Access | Times Cited: 4
Application of radiomics in acute and severe non-neoplastic diseases: A literature review
Fang Yu, Qiannan Zhang, Junwei Yan, et al.
Journal of Critical Care (2025) Vol. 87, pp. 155027-155027
Open Access
Predicting hematoma expansion after intracerebral hemorrhage: a comparison of clinician prediction with deep learning radiomics models
Boyang Yu, Kara Melmed, Jennifer Frontera, et al.
Neurocritical Care (2025)
Closed Access
Voxel-Wise Map of Intracerebral Hemorrhage Locations Associated With Worse Outcomes
Gaby Abou Karam, M. Keith Chen, Dorin Zeevi, et al.
Stroke (2025)
Closed Access
Peri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage
Fiona Dierksen, Tran Anh Tuan, Tal Zeevi, et al.
European Stroke Journal (2024) Vol. 9, Iss. 2, pp. 383-390
Open Access | Times Cited: 3
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
The clinical potential of radiomics to predict hematoma expansion in spontaneous intracerebral hemorrhage: a narrative review
Samuel A. Tenhoeve, Matthew C. Findlay, Kyril L. Cole, et al.
Frontiers in Neurology (2024) Vol. 15
Open 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
Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography
Tran Anh Tuan, Dmitriy Desser, Tal Zeevi, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 111-111
Open Access
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