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:

Automatic segmentation of white matter hyperintensities in routine clinical brain MRI by 2D VB-Net: A large-scale study
Wenhao Zhu, Hao Huang, Yaqi Zhou, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
Minh Chau, Han X. Vu, Tanmoy Debnath, et al.
Radiography (2025) Vol. 31, Iss. 2, pp. 102878-102878
Open Access | Times Cited: 1
Research and application progress of radiomics in neurodegenerative diseases
Junbang Feng, Ying Huang, X. Zhang, et al.
Meta-Radiology (2024) Vol. 2, Iss. 1, pp. 100068-100068
Open Access | Times Cited: 6
Quantitative Analysis of Multimodal MRI Markers and Clinical Risk Factors for Cerebral Small Vessel Disease Based on Deep Learning
Zhiliang Zhang, Zhongxiang Ding, Fenyang Chen, et al.
International Journal of General Medicine (2024) Vol. Volume 17, pp. 739-750
Open Access | Times Cited: 6
End-to-end volumetric segmentation of white matter hyperintensities using deep learning
Sadaf Farkhani, Naiara Demnitz, Carl‐Johan Boraxbekk, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108008-108008
Open Access | Times Cited: 4
Fully automated deep learning system for osteoporosis screening using chest computed tomography images
Shigeng Wang, Xiaoyu Tong, Qiye Cheng, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 4, pp. 2816-2827
Open Access | Times Cited: 4
Automatic detection of cognitive impairment in patients with white matter hyperintensity and causal analysis of related factors using artificial intelligence of MRI
Junbang Feng, Dongming Hui, Qingqing Zheng, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108684-108684
Closed Access | Times Cited: 4
Cerebral Small Vessel Disease Outperforms Brain Atrophy as an Imaging Biomarker in Diabetic Retinopathy
Xinyi Shen, Wen Zhang, Xin Li, et al.
Journal of Diabetes (2025) Vol. 17, Iss. 2
Open Access
Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and Radiomics
Junbang Feng, Xingyan Le, Li Li, et al.
American Journal of Alzheimer s Disease & Other Dementias® (2025) Vol. 40
Open Access
Nighttime systolic blood pressure reduction rate and periventricular white matter hyperintensity were associated with cognitive function in Parkinson’s disease
Lanlan Chen, Tingting Qiao, Cancan Ma, et al.
Neurological Sciences (2025)
Closed Access
Beyond the cerebellum: perivascular space burden in spinocerebellar ataxia type 3 extends to multiple brain regions
Yonghua Huang, Zhiming Zhen, Lihua Deng, et al.
Brain Communications (2025) Vol. 7, Iss. 2
Open Access
White matter hyperintensities regress at a high rate at three months after minor ischemic stroke or transient ischemic attack
Yuyun Xu, Danjiang Huang, He Zhang, et al.
Journal of Neuroradiology (2025) Vol. 52, Iss. 1, pp. 101239-101239
Closed Access
The correlation between intracranial atherosclerosis and white matter hyperintensities in cerebral small vessel disease: a high-resolution magnetic resonance imaging study
Gui-Song Zhang, Wei Bu, Linghui Meng, et al.
Frontiers in Neurology (2025) Vol. 15
Open Access
Brain Iron Deposition Alterations in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment Based on Quantitative Susceptibility Mapping
Qiuyue Zhao, Subinuer Maimaitiaili, Yan Bi, et al.
Journal of Diabetes (2025) Vol. 17, Iss. 1
Open Access
MRI quantified enlarged perivascular space volumes as imaging biomarkers correlating with severity of anxiety depression in young adults with long-time mobile phone use
Li Li, Yalan Wu, Jiaojiao Wu, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Glymphatic system dysfunction in pediatric Tourette syndrome: neuroimaging evidence from MRI metrics
Shu‐Zhen Huang, Liping Lin, Xiang Gao, et al.
Journal of Psychiatric Research (2025) Vol. 184, pp. 1-7
Closed Access
Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas
Meiping Ye, Zehong Cao, Zhengyang Zhu, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile phone use
Li M. Li, Yalan Wu, Jiaojiao Wu, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Artificial intelligence for volumetric measurement of cerebral white matter hyperintensities on thick-slice fluid-attenuated inversion recovery (FLAIR) magnetic resonance images from multiple centers
Masashi Kuwabara, Fusao Ikawa, Shinji Nakazawa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Machine Learning‐Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2‐Weighted and Diffusion‐Weighted MRI
Yulu Liu, Xiaoxuan Jia, Jiaqi Zhao, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 2, pp. 600-612
Closed Access | Times Cited: 7
Correlation between lenticulostriate arteries and white matter microstructure changes in patients with cerebral small vessel disease
Yukun Zhang, Peipei Chang, Na Liu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Automatic Urinary Stone Detection System for Abdominal Non-Enhanced CT Images Reduces the Burden on Radiologists
Zhaoyu Xing, Zuhui Zhu, Zhenxing Jiang, et al.
Deleted Journal (2024) Vol. 37, Iss. 2, pp. 444-454
Open Access | Times Cited: 1
Specialized gray matter segmentation via a generative adversarial network: application on brain white matter hyperintensities classification
Mahdi Bashiri Bawil, Mousa Shamsi, Abolhassan Shakeri Bavil, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
Kauê Tartarotti Nepomuceno Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Brain hyperintensities: automatic segmentation of white matter hyperintensities in clinical brain MRI images using improved deep neural network
Puranam Revanth Kumar, Rajesh Kumar Jha, Prashant Kumar
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 15545-15581
Closed Access
Specialized Gray Matter Segmentation Via a Deep Learning Network: Application on Brain Wmh Classification
Mehdi Bashiri Bawil, Mousa Shamsi, Abolhassan Shakeri Bavil
(2024)
Closed Access
Page 1 - Next Page

Scroll to top