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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:

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
Zhe Xu, Yixin Wang, Donghuan Lu, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102880-102880
Closed Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

DSST: A dual student model guided student–teacher framework for semi-supervised medical image segmentation
Boliang Li, Yan Wang, Yaming Xu, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105890-105890
Closed Access | Times Cited: 7
FLSSnet: Few labeled samples segmentation network for coated fuel particle segmentation
Dezhi Yang, Jie Zhang, Jian Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102630-102630
Closed Access | Times Cited: 2
URCA: Uncertainty-based region clipping algorithm for semi-supervised medical image segmentation
Chendong Qin, Yongxiong Wang, Jiapeng Zhang
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108278-108278
Closed Access | Times Cited: 2
Texture feature-aware consistency for semi-supervised honeycomb lung lesion segmentation
Jinjie Xie, Gang Li, Ling Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125119-125119
Closed Access | Times Cited: 2
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: 2
Semi-Supervised Learning With Fact-Forcing for Medical Image Segmentation
Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum, et al.
IEEE Access (2023) Vol. 11, pp. 99413-99425
Open Access | Times Cited: 4
Dual-Decoder Data Decoupling Training for Semi-Supervised Medical Image Segmentation
Xin Zhang, Bing Wang, Tai Huang, et al.
(2024)
Closed Access | Times Cited: 1
LesionMix data enhancement and entropy minimization for semi-supervised lesion segmentation of lung cancer
Xipeng Pan, Mingwei Chen, Huan Lin, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112244-112244
Closed Access | Times Cited: 1
MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation
Xinyu Liu, Zhen Chen, Yixuan Yuan
Lecture notes in computer science (2024), pp. 469-480
Closed Access | Times Cited: 1
Dual-decoder data decoupling training for semi-supervised medical image segmentation
Bing Wang, Taifeng Huang, Shuo Yang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106984-106984
Closed Access | Times Cited: 1
Dual structure-aware image filterings for semi-supervised medical image segmentation
Yuliang Gu, Zhichao Sun, Tian Chen, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103364-103364
Open Access | Times Cited: 1
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Zhe Xu, Donghuan Lu, Jiangpeng Yan, et al.
Lecture notes in computer science (2023), pp. 3-13
Closed Access | Times Cited: 3
A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, et al.
Expert Systems with Applications (2023) Vol. 243, pp. 122897-122897
Closed Access | Times Cited: 3
Collaborative Learning for Annotation‐Efficient Volumetric MR Image Segmentation
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 4, pp. 1604-1614
Closed Access | Times Cited: 2
Triple-task mutual consistency for semi-supervised 3D medical image segmentation
Yantao Chen, Yong Ma, Xiaoguang Mei, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108506-108506
Closed Access
Advancing Rectal MRI Segmentation with Clip-Driven Semi-Supervised Learning and Semantic Alignment
Bo Sun, K.-P. Li, Jingjuan Liu, et al.
(2024)
Closed Access
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3d Semi-Supervised Medical Image Segmentation
Zhan Fa, Shumeng Li, Jian Zhang, et al.
(2024)
Closed 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
Complementary Attention Based Dual-Task Pseudo-labeling for Medical Image Segmentation
Daole Wang, Ping Wang, Xiuyang Zhao, et al.
Lecture notes in computer science (2024), pp. 266-278
Closed Access
Diversity matters: Cross-head mutual mean-teaching for semi-supervised medical image segmentation
Wei Li, Ruifeng Bian, Wenyi Zhao, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103302-103302
Closed Access
Semi-Supervised Cerebrovascular Segmentation Using TOF-MRA Images Based on Label Refinement and Consistency Regularization
Haibin Huang, Yue Cui, Mingxia Shi, et al.
(2024), pp. 1-5
Closed Access
S-ACMT: Enhancing Semi-Supervised Medical Image Segmentation with SAM as a Cross-Supervised Secondary Teacher
Can Lin, Yuanzhe Liu, Dahao Wang, et al.
2022 7th International Conference on Signal and Image Processing (ICSIP) (2024), pp. 774-779
Closed Access
Continual learning in medical image analysis: A survey
X.B. Wu, Zhe Xu, K.Y. Tong
Computers in Biology and Medicine (2024) Vol. 182, pp. 109206-109206
Closed Access
Beyond low-dimensional features: Enhancing semi-supervised medical image semantic segmentation with advanced consistency learning techniques
Yujie Lu, Wenting Li, Zhongwei Cui, et al.
Expert Systems with Applications (2024), pp. 125456-125456
Closed Access
Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation
X.B. Wu, Zhe Xu, K.Y. Tong
Lecture notes in computer science (2024), pp. 286-296
Closed Access

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