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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:

3D U-Net Improves Automatic Brain Extraction for Isotropic Rat Brain Magnetic Resonance Imaging Data
Li‐Ming Hsu, Shuai Wang, Lindsay R. Walton, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18

Showing 18 citing articles:

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small‐animal imaging
Ileana Jelescu, Francesco Grussu, Andrada Ianuş, et al.
Magnetic Resonance in Medicine (2025)
Open Access | Times Cited: 1
Automatic Segmentation of the Cisternal Segment of Trigeminal Nerve on MRI Using Deep Learning
Li‐Ming Hsu, Shuai Wang, Sheng‐Wei Chang, et al.
International Journal of Biomedical Imaging (2025) Vol. 2025, Iss. 1
Open Access
Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
Nagwan Abdel Samee, Tahir Ahmad, Noha F. Mahmoud, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2340-2340
Open Access | Times Cited: 17
Deep-learning-based biomarker of spinal cartilage endplate health using ultra-short echo time magnetic resonance imaging
Noah B. Bonnheim, Linshanshan Wang, Ann A. Lazar, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 2807-2821
Open Access | Times Cited: 10
Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
Ahmed Iqbal, Muhammad Sharif
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107292-107292
Closed Access | Times Cited: 10
AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study
Shuncong Wang, Xin Pang, Frederik De Keyzer, et al.
Acta Neuropathologica Communications (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network
Valerie A. Porter, Brad A. Hobson, Brent Foster, et al.
Journal of Neuroscience Methods (2024) Vol. 405, pp. 110078-110078
Closed Access | Times Cited: 2
SHIELD: Skull-shaped hemispheric implants enabling large-scale electrophysiology datasets in the mouse brain
Corbett Bennett, Ben Ouellette, Tamina K. Ramirez, et al.
Neuron (2024) Vol. 112, Iss. 17, pp. 2869-2885.e8
Open Access | Times Cited: 2
Artificial Intelligence in Diagnostic Medical Image Processing for Advanced Healthcare Applications
Amlan Jyoti Kalita, Abhijit Boruah, Tapan Kumar Das, et al.
Biological and medical physics series (2024), pp. 1-61
Closed Access | Times Cited: 2
Ensemble learning based on efficient features combination can predict the outcome of recurrence-free survival in patients with hepatocellular carcinoma within three years after surgery
Liyang Wang, Meilong Wu, Chengzhan Zhu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images
Jeehye An, Leo Wendt, Georg Wiese, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Estimation of the Ischemic Lesion in the Experimental Stroke Studies Using Magnetic Resonance Imaging (Review)
D. D. Namestnikova, Elvira Cherkashova, Ivan S. Gumin, et al.
Bulletin of Experimental Biology and Medicine (2024) Vol. 176, Iss. 5, pp. 649-657
Closed Access | Times Cited: 1
Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-Weighted MRI Head Scans
Anway S. Pimpalkar, Rashmika Patole, Ketaki D. Kamble, et al.
Communications in computer and information science (2024), pp. 131-142
Closed Access
Unleashing the Power of Open-Source Transformers in Medical Imaging: Insights from a Brain
M. A. Rahman, Arifuzzaman Joy, Ahnaf Tahmid Abir, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access
Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice
Ryszard S. Gomolka
BIO-PROTOCOL (2024) Vol. 15, Iss. 1362
Closed Access
3DCC-MPNN: automated 3D reconstruction of corpus callosum based on modified PNN and marching cubes
Amal Jlassi, Khaoula ElBedoui, Walid Barhoumi, et al.
Evolving Systems (2024) Vol. 15, Iss. 5, pp. 1817-1843
Closed Access
Accuracy of skull stripping in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images
Masami Goto, Yujiro Otsuka, Akifumi Hagiwara, et al.
Radiological Physics and Technology (2023) Vol. 16, Iss. 3, pp. 373-383
Closed Access
Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans
Anway S. Pimpalkar, Rashmika Patole, Ketaki D. Kamble, et al.
arXiv (Cornell University) (2022)
Open Access
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