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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:

Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, et al.
Lecture notes in computer science (2019), pp. 810-818
Closed Access | Times Cited: 152

Showing 1-25 of 152 citing articles:

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101693-101693
Open Access | Times Cited: 719
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 341
Deep learning for chest X-ray analysis: A survey
Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102125-102125
Open Access | Times Cited: 321
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
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Xiangde Luo, Wenjun Liao, Jieneng Chen, et al.
Lecture notes in computer science (2021), pp. 318-329
Open Access | Times Cited: 161
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
Weakly supervised machine learning
Zeyu Ren, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 3, pp. 549-580
Open Access | Times Cited: 82
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Issam Laradji, Pau Rodríguez, Oscar Mañas, et al.
(2021)
Open Access | Times Cited: 84
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, et al.
IEEE Access (2021) Vol. 9, pp. 83002-83024
Open Access | Times Cited: 74
Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images
Shuailin Li, Chuyu Zhang, Xuming He
Lecture notes in computer science (2020), pp. 552-561
Closed Access | Times Cited: 70
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation
Shuo Zhang, Jiaojiao Zhang, Biao Tian, et al.
Medical Image Analysis (2022) Vol. 83, pp. 102656-102656
Closed Access | Times Cited: 64
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium
Chenji Zhao, Shun Xiang, Yuanquan Wang, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119105-119105
Open Access | Times Cited: 53
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising
Liang Qiu, Jierong Cheng, Huxin Gao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 4672-4683
Closed Access | Times Cited: 24
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation
Yuexiang Li, Jiawei Chen, Xinpeng Xie, et al.
Lecture notes in computer science (2020), pp. 614-623
Open Access | Times Cited: 68
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, et al.
Medical Image Analysis (2021) Vol. 71, pp. 101997-101997
Open Access | Times Cited: 45
Self-paced and self-consistent co-training for semi-supervised image segmentation
Ping Wang, Jizong Peng, Marco Pedersoli, et al.
Medical Image Analysis (2021) Vol. 73, pp. 102146-102146
Open Access | Times Cited: 45
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Ran Gu, Jingyang Zhang, Guotai Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 1, pp. 245-256
Open Access | Times Cited: 36
Semi-Supervised Unpaired Medical Image Segmentation Through Task-Affinity Consistency
Jingkun Chen, Jianguo Zhang, Kurt Debattista, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 594-605
Open Access | Times Cited: 35
Cross-Mix Monitoring for Medical Image Segmentation With Limited Supervision
Yucheng Shu, Hengbo Li, Bin Xiao, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 1700-1712
Closed Access | Times Cited: 28
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
Heng Cai, Shumeng Li, Lei Qi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 33, pp. 3302-3311
Open Access | Times Cited: 18
Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks
Mohammadreza Soltaninejad, Craig J. Sturrock, Marcus Griffiths, et al.
IEEE Transactions on Image Processing (2020) Vol. 29, pp. 6667-6679
Open Access | Times Cited: 42
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Lecture notes in computer science (2021), pp. 450-460
Closed Access | Times Cited: 40
Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework
Wei Lou, Haofeng Li, Guanbin Li, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 4, pp. 947-958
Open Access | Times Cited: 26
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation
Chenchu Xu, Yifei Wang, Dong Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 1, pp. 87-96
Closed Access | Times Cited: 25
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