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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:

Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Rushi Jiao, Yichi Zhang, Le Ding, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107840-107840
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

Learning with limited annotations: Deep semi-supervised learning paradigm for layer-wise defect detection in laser powder bed fusion
Kunpeng Tan, Jiafeng Tang, Zhibin Zhao, et al.
Optics & Laser Technology (2025) Vol. 185, pp. 112586-112586
Closed Access
Dynamic mutual training semi-supervised semantic segmentation algorithm with adaptive capability (AD-DMT) for choy sum stem segmentation and 3D positioning of cutting points
Kai Yuan, Qian Wang, Zuoxi Zhao, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110105-110105
Closed Access
Contrastive Trustworthy Prototype Learning for multi-modality myocardial pathology segmentation
Jingjing Liu, Ao Wei, Lijuan Cao, et al.
Applied Soft Computing (2025), pp. 112909-112909
Closed Access
Correlation-based switching mean teacher for semi-supervised medical image segmentation
Guocheng DENG, Hao Sun, Wei Xie
Neurocomputing (2025), pp. 129818-129818
Closed Access
Enhancing generalization of medical image segmentation via game theory-based domain selection
Zuyu Zhang, Yan Li, Byeong‐Seok Shin
Journal of Biomedical Informatics (2025), pp. 104802-104802
Closed Access
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)
Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 122, pp. 102517-102517
Closed Access
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Path‐enhanced chunking approach with residual attention for medical image segmentation
Shanshan Li, Zaixian Zhang, Shunli Liu, et al.
Medical Physics (2025)
Closed Access
How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context
Febrio Lunardo, Laura Baker, Alex Tan, et al.
Physical and Engineering Sciences in Medicine (2025)
Open Access
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT, Raphael Haddad, Liang Ma
Research Square (Research Square) (2025)
Closed Access
Corneal Layer Segmentation in Healthy and Pathological Eyes: A Joint Super-Resolution Generative Adversarial Network and Adaptive Graph Theory Approach
Khin Yadanar Win, Jipson Wong Hon Fai, Wong Qiu Ying, et al.
Translational Vision Science & Technology (2025) Vol. 14, Iss. 3, pp. 19-19
Open Access
Expert guidance and partially-labeled data collaboration for multi-organ segmentation
Li Li, Jianyi Liu, Hanguang Xiao, et al.
Neural Networks (2025), pp. 107396-107396
Closed Access
Multi-scale semantic segmentation for fiber identification and 3D reconstruction of unidirectional composite
Peng Zhang, Xun Zhou, Ruifeng Liang, et al.
Composites Science and Technology (2025), pp. 111160-111160
Closed Access
Anatomically-aware uncertainty for semi-supervised image segmentation
Sukesh Adiga Vasudeva, José Dolz, Hervé Lombaert
Medical Image Analysis (2023) Vol. 91, pp. 103011-103011
Open Access | Times Cited: 12
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images
Chenchu Xu, Tong Zhang, Dong Zhang, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3072-3084
Closed Access | Times Cited: 4
Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions
Andrea Frosolini, Leonardo Franz, Valeria Caragli, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7126-7126
Open Access | Times Cited: 4
Semi-supervised image segmentation using a residual-driven mean teacher and an exponential Dice loss
Chenyang Mei, Xiaoguo Yang, Mi Zhou, et al.
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102757-102757
Closed Access | Times Cited: 3
Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio
Patrick Thiam, Christopher Kloth, Daniel Blaich, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Linear semantic transformation for semi-supervised medical image segmentation
Cheng Chen, Yunqing Chen, Xiaoheng Li, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108331-108331
Closed Access | Times Cited: 3
LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation
Dongxian Sun, Fadi Dornaika, Jinan Charafeddine
Information Fusion (2024) Vol. 110, pp. 102484-102484
Open Access | Times Cited: 3
Saliency and boundary guided segmentation framework for cell counting in microscopy images
S Asha, G. Gopakumar, Rama Krishna Gorthi
Expert Systems with Applications (2024) Vol. 253, pp. 124309-124309
Closed Access | Times Cited: 3
Multispectral Semantic Segmentation for Land Cover Classification: An Overview
Leo Ramos, Ángel D. Sappa
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14295-14336
Open Access | Times Cited: 3
A review: artificial intelligence in image-guided spinal surgery
Jiahang Zeng, Qiang Fu
Expert Review of Medical Devices (2024) Vol. 21, Iss. 8, pp. 689-700
Closed Access | Times Cited: 3
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
Hanyang Chi, Jian Pang, Bingfeng Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 4070-4080
Closed Access | Times Cited: 3
Semi-supervised segmentation for primary nasopharyngeal carcinoma tumors using local-region constraint and mixed feature-level consistency
Bin Zheng, Junying Zeng, Xiuping Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108389-108389
Closed Access | Times Cited: 2

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