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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:

Deep learning based segmentation of brain tissue from diffusion MRI
Fan Zhang, Anna Breger, Kang Ik Kevin Cho, et al.
NeuroImage (2021) Vol. 233, pp. 117934-117934
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI
C. H. Li, Dian Yang, Shun Yao, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 120, pp. 102489-102489
Closed Access | Times Cited: 1
Anatomically constrained tractography of the fetal brain
Camilo Calixto, Camilo Jaimes, Matheus Dorigatti Soldatelli, et al.
NeuroImage (2024) Vol. 297, pp. 120723-120723
Open Access | Times Cited: 7
The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN
Diego Ángeles-Valdéz, Jalil Rasgado‐Toledo, Victor Issa‐Garcia, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 26
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
Ziyu Li, Qiuyun Fan, Berkin Bilgiç, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102744-102744
Open Access | Times Cited: 13
Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models
Yueyan Bian, Jin Li, Chuyang Ye, et al.
Chinese Medical Journal (2025)
Open Access
Towards an informed choice of diffusion MRI image contrasts for cerebellar segmentation
Jon Haitz Legarreta, Lan Zhou, Yuqian Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
The Mexican dataset of a repetitive transcranial magnetic stimulation clinical trial on cocaine use disorder patients: SUDMEX TMS
Diego Ángeles-Valdéz, Jalil Rasgado‐Toledo, Viviana Villicaña, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 4
Diffusion MRI with Machine Learning
Davood Karimi, Simon K. Warfield
Imaging Neuroscience (2024) Vol. 2, pp. 1-55
Open Access | Times Cited: 4
Improving tractography using anatomical priors and multimodal integration
Etienne St‐Onge, Gabriel Girard, Kurt G. Schilling, et al.
Elsevier eBooks (2025), pp. 347-362
Closed Access
Fine-scale striatal parcellation using diffusion MRI tractography and graph neural networks
Jingjing Gao, Mingqi Liu, Maomin Qian, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103482-103482
Closed Access
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI
Fan Zhang, Kang Ik Kevin Cho, Johanna Seitz‐Holland, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 3, pp. 1191-1202
Closed Access | Times Cited: 9
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI Registration
Fan Zhang, William M. Wells, Lauren J. O’Donnell
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 6, pp. 1454-1467
Open Access | Times Cited: 22
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
Meera Srikrishna, Joana B. Pereira, Rolf A. Heckemann, et al.
NeuroImage (2021) Vol. 244, pp. 118606-118606
Open Access | Times Cited: 20
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT
Meera Srikrishna, Rolf A. Heckemann, Joana B. Pereira, et al.
Frontiers in Computational Neuroscience (2022) Vol. 15
Open Access | Times Cited: 15
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions
Geng Chen, Yoonmi Hong, Khoi Minh Huynh, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102742-102742
Open Access | Times Cited: 8
CycleFormer: Brain tissue segmentation in the presence of Multiple Sclerosis lesions and Intensity Non-Uniformity artifact
Zahra Mohammadi, Atefe Aghaei, Mohsen Ebrahimi Moghaddam
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106153-106153
Closed Access | Times Cited: 2
Automated multiclass tissue segmentation of clinical brain MRIs with lesions
David Weiß, Rachit Saluja, Long Xie, et al.
NeuroImage Clinical (2021) Vol. 31, pp. 102769-102769
Open Access | Times Cited: 17
Multimodal Neuroimaging in Rett Syndrome With MECP2 Mutation
Yu Kong, Qiu-bo Li, Yuan Zhao-hong, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 11
A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images
Yuhuan Lu, Kenli Li, Bin Pu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 21, Iss. 4, pp. 1007-1018
Closed Access | Times Cited: 11
Level-set-based multiplicative intrinsic component optimization for brain tissue segmentation in T1-W and T2-W modality MRI
Ri Jin, Dan Tong, Zhongping Chen
Expert Systems with Applications (2023) Vol. 224, pp. 119967-119967
Closed Access | Times Cited: 6
EG-Unet: Edge-Guided cascaded networks for automated frontal brain segmentation in MR images
Xiufeng Zhang, Yansong Liu, Guo Sheng-jin, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106891-106891
Closed Access | Times Cited: 6
DBB - A Distorted Brain Benchmark for Automatic Tissue Segmentation in Paediatric Patients
Gabriele Amorosino, Denis Peruzzo, Daniela Redaelli, et al.
NeuroImage (2022) Vol. 260, pp. 119486-119486
Open Access | Times Cited: 10
DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography
Guillaume Theaud, Manon Edde, Matthieu Dumont, et al.
Frontiers in Neuroimaging (2022) Vol. 1
Open Access | Times Cited: 10
Segmentation of macular neovascularization and leakage in fluorescein angiography images in neovascular age-related macular degeneration using deep learning
David Holomcik, Philipp Seeböck, Bianca S. Gerendas, et al.
Eye (2022) Vol. 37, Iss. 7, pp. 1439-1444
Open Access | Times Cited: 9
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