Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 With Voxel Stability and Reliability Constraints
Yang Zhao, Ke Lü, Jian Xue, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 3912-3923
Closed Access | Times Cited: 24

Showing 24 citing articles:

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, et al.
IEEE Access (2024) Vol. 12, pp. 41180-41218
Open Access | Times Cited: 38
Correlation-based switching mean teacher for semi-supervised medical image segmentation
Guocheng DENG, Hao Sun, Wei Xie
Neurocomputing (2025), pp. 129818-129818
Closed Access | Times Cited: 1
Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation
Zhenbing Liu, W. Li, Yanfen Cui, et al.
Expert Systems with Applications (2025), pp. 126364-126364
Closed Access
Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning
Huiting Zhang, Xiaotang Yang, Shuang Qiu, et al.
Expert Systems with Applications (2025), pp. 126640-126640
Closed Access
Dual consistency semi-supervised learning for 3D medical image segmentation
Wei Lin, Runxuan Sha, Yucheng Shi, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107568-107568
Closed Access
A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation
Xianqi Meng, Hongwei Yu, Jingfan Fan, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107757-107757
Closed Access
Multi-layer feature fusion and coarse-to-fine label learning for semi-supervised lesion segmentation of lung cancer
Jiale Chen, Siyang Feng, Yanfen Cui, et al.
Knowledge-Based Systems (2025), pp. 113451-113451
Closed Access
Pseudo Label-Guided Data Fusion and output consistency for semi-supervised medical image segmentation
Tao Wang, Xinlin Zhang, Yuanbin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107956-107956
Open Access
AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation
Along He, Yanlin Wu, Zhihong Wang, et al.
Medical Image Analysis (2025) Vol. 103, pp. 103626-103626
Closed Access
Glaucoma progression prediction using multi-modal data and trusted multi-view learning
Xiujuan Zheng, Wo Wang, Zhiqing Lv, et al.
Expert Systems with Applications (2025), pp. 128225-128225
Closed Access
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: 3
DFCG: A Dual-Frequency Cascade Graph model for semi-supervised ultrasound image segmentation with diffusion model
Yifeng Yao, Xingxing Duan, Aiping Qu, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112261-112261
Closed Access | Times Cited: 3
Dynamic graph consistency and self-contrast learning for semi-supervised medical image segmentation
Gang Li, Jinjie Xie, Ling Zhang, et al.
Neural Networks (2024) Vol. 184, pp. 107063-107063
Closed Access | Times Cited: 3
Better Rough Than Scarce: Proximal Femur Fracture Segmentation With Rough Annotations
Xu Lu, Zengzhen Cui, Yihua Sun, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3240-3252
Closed Access | Times Cited: 2
Semi-supervised segmentation of orbit in CT images with paired copy-paste strategy
Wentao Li, Hong Song, Danni Ai, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108176-108176
Closed Access | Times Cited: 1
Towards semi-supervised multi-modal rectal cancer segmentation: A large-scale dataset and a multi-teacher uncertainty-aware network
Yu Qiu, Haotian Lu, Jie Mei, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124734-124734
Closed Access | Times Cited: 1
MMSeg: A novel multi-task learning framework for class imbalance and label scarcity in medical image segmentation
Feiyang Yang, Xiongfei Li, Bo Wang, et al.
Knowledge-Based Systems (2024) Vol. 309, pp. 112835-112835
Closed Access | Times Cited: 1
Uncertainty-aware consistency learning for semi-supervised medical image segmentation
Min Dong, Ai‐Li Yang, Zhenhang Wang, et al.
Knowledge-Based Systems (2024), pp. 112890-112890
Closed Access | Times Cited: 1
Uncertainty-Guided Different Levels of Pseudolabels for Semisupervised Medical Image Segmentation
H. B. Li, Xinwei Hong, Guohua Huang, et al.
IEEE Multimedia (2023) Vol. 31, Iss. 1, pp. 42-53
Closed Access | Times Cited: 1
A semi-supervised segmentation method for microscopic hyperspectral pathological images based on multi-consistency learning
Jinghui Fang
Frontiers in Oncology (2024) Vol. 14
Open Access
TLF: Triple learning framework for intracranial aneurysms segmentation from unreliable labeled CTA scans
Lei Chai, Shuangqian Xue, Daodao Tang, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102421-102421
Closed Access
Unsupervised Domain Adaptation for Medical Image Segmentation with Conditional Diffusion Model
Yang Zhao, Ke Lü, Shuhua Wang, et al.
(2024), pp. 1-5
Closed Access
Low-Quality Sensor Data-Based Semi-Supervised Learning for Medical Image Segmentation
H. B. Li, Xuanbo Xu, Ziheng Liu, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7799-7799
Open Access
A model use context complementarity feature fusion learning for semi-supervised 3D medical image segmentation
Lei Chen, Yikai Zhao, Dongxu Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107412-107412
Closed Access
Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation
Yu Chen, Chunwei Wu, Shasha Liu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 121, pp. 1060-1067
Closed Access
Page 1

Scroll to top