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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:

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Wenjia Bai, Chen Chen, Giacomo Tarroni, et al.
Lecture notes in computer science (2019), pp. 541-549
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3458-3468
Open Access | Times Cited: 415
Deep Learning for Cardiac Image Segmentation: A Review
Chen Chen, Chen Qin, Huaqi Qiu, et al.
Frontiers in Cardiovascular Medicine (2020) Vol. 7
Open Access | Times Cited: 369
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
Quande Liu, Lequan Yu, Luyang Luo, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3429-3440
Open Access | Times Cited: 245
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Chenyu You, Yuan Zhou, Ruihan Zhao, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2228-2237
Open Access | Times Cited: 207
Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation
Cheng Ouyang, Carlo Biffi, Chen Chen, et al.
Lecture notes in computer science (2020), pp. 762-780
Open Access | Times Cited: 171
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 144
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Shekoofeh Azizi, Laura Culp, Jan Freyberg, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 756-779
Closed Access | Times Cited: 108
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Chenyu You, Ruihan Zhao, Lawrence H. Staib, et al.
Lecture notes in computer science (2022), pp. 639-652
Open Access | Times Cited: 102
Self-Supervised Learning for Few-Shot Medical Image Segmentation
Cheng Ouyang, Carlo Biffi, Chen Chen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 7, pp. 1837-1848
Open Access | Times Cited: 89
Masked Image Modeling Advances 3D Medical Image Analysis
Zekai Chen, Devansh Agarwal, K.K. Aggarwal, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 1969-1979
Open Access | Times Cited: 43
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 118
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 12, pp. 4023-4033
Open Access | Times Cited: 111
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2857-2868
Open Access | Times Cited: 96
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis
Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 9, pp. 2284-2294
Closed Access | Times Cited: 75
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
Stine Hansen, Srishti Gautam, Robert Jenssen, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102385-102385
Open Access | Times Cited: 66
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 633-646
Open Access | Times Cited: 41
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 31
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation
Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 76-95
Open Access | Times Cited: 27
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
Machine learning‐assisted point‐of‐care diagnostics for cardiovascular healthcare
Kaidong Wang, Bing Tan, Xinfei Wang, et al.
Bioengineering & Translational Medicine (2025)
Open Access | Times Cited: 1
Exploring Self-Supervised Learning for Disease Detection and Classification in Digital Pathology: A review
Abdulahi Mahammed Adem, Ravi Kant, S Sonia, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition
Open Access | Times Cited: 1
Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
Lecture notes in computer science (2020), pp. 137-147
Open Access | Times Cited: 67
Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations
Alexander Chowdhury, Jacob Rosenthal, Jonathan Waring, et al.
Informatics (2021) Vol. 8, Iss. 3, pp. 59-59
Open Access | Times Cited: 45
A Review of Self-supervised Learning Methods in the Field of Medical Image Analysis
Jiashu Xu
International Journal of Image Graphics and Signal Processing (2021) Vol. 13, Iss. 4, pp. 33-46
Open Access | Times Cited: 41
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