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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 1-25 of 69 citing articles:

Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Jiawei Su, Zhiming Luo, Sheng Lian, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103111-103111
Closed Access | Times Cited: 30
A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 19
Competitive dual-students using bi-level contrastive learning for semi-supervised medical image segmentation
Gang Hu, Zhao Feng, Essam H. Houssein
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110082-110082
Closed Access | Times Cited: 1
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
Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images
Jiayi Zhu, Bart Bolsterlee, Brian V. Y. Chow, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 115, pp. 102383-102383
Open Access | Times Cited: 8
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin, Hui Cui, Changming Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122093-122093
Open Access | Times Cited: 15
Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment
Yanda Meng, Yuchen Zhang, Jianyang Xie, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103183-103183
Open Access | Times Cited: 5
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data
Zhe Xu, Donghuan Lu, Jie Luo, et al.
Medical Image Analysis (2024) Vol. 93, pp. 103095-103095
Closed Access | Times Cited: 4
Semi-supervised recognition for artificial intelligence assisted pathology image diagnosis
Pan Yao, Fangfang Gou, Chunwen Xiao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
MCL: Multi-level Consistency Learning for Medical Image Segmentation
Alou Diakite, Cheng Li, Lei Xie, et al.
Communications in computer and information science (2025), pp. 32-41
Closed Access
Multi-level perturbations in image and feature spaces for semi-supervised medical image segmentation
Feiniu Yuan, Biao Xiang, Zhengxiao Zhang, et al.
Displays (2025), pp. 103001-103001
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
Uncertainty-guided weakly supervised segmentation of cardiac substructures with adapter fine-tuning and fourier feature extraction
Shuanglin Liu, Shoujun Zhou, Yuanquan Wang, et al.
Expert Systems with Applications (2025), pp. 127583-127583
Closed Access
SSCL: A Spatial-Spectral and Commonality Learning Network for Semi-supervised Medical Image Segmentation
Yujie Liu, Zhonghao Du, Xuanting Li, et al.
Lecture notes in computer science (2025), pp. 29-48
Closed Access
CUAMT: A MRI semi-supervised medical image segmentation framework based on contextual information and mixed uncertainty
Hanguang Xiao, Yangjian Wang, Shidong Xiong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 267, pp. 108755-108755
Closed Access
Artificial intelligence alert system based on intraluminal view for colonoscopy intubation
Yigeng Huang, Suwen Li, Syeda Sadia Rubab, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Self-paced selective learning with dual-domain augmentation for cardiac MRI segmentation
Lin Zhou, Yingdi Zhang, Yunpeng Liu, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107508-107508
Closed Access
3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention
B. X. Yu, Quan Zhou, Yuan Li, et al.
CAAI Transactions on Intelligence Technology (2025)
Open Access
Semi-supervised medical image segmentation using spiking neural P-like convolutional model and pseudo label-guided cross-patch contrastive learning
Chi Zhou, Lulin Ye, Hong Peng, et al.
Neurocomputing (2025), pp. 129782-129782
Closed Access
A semi-supervised multi-task assisted method for ultrasound medical image segmentation
Honghe Li, Jinzhu Yang, Mingjun Qu, et al.
Neurocomputing (2025), pp. 130217-130217
Closed Access
Distribution-Aware Multi-Attention Tri-branch Networks with Feedforward Differential Features for semi-supervised medical image segmentation
Pengcheng Shi, Shuchang Zhao, Lin Guo, et al.
Expert Systems with Applications (2025) Vol. 284, pp. 127687-127687
Closed Access
Dual‐Region Consistency Learning With Contrastive Refinement for Semi‐Supervised Medical Image Segmentation
Junmei Sun, Meixi Wang, Jianxiang Zhao, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels
Fengming Lin, Yan Xia, Nishant Ravikumar, et al.
Lecture notes in computer science (2024), pp. 106-116
Open Access | Times Cited: 3
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
Weijian Huang, Cheng Li, Hao Yang, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103299-103299
Open Access | Times Cited: 3
Automatic segmentation of pericardial adipose tissue from cardiac MR images via semi‐supervised method with difference‐guided consistency
Xinru Zhang, Shoujun Zhou, Bohan Li, et al.
Medical Physics (2024)
Closed Access | Times Cited: 3
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