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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 a tripled-uncertainty guided mean teacher model with contrastive learning
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102447-102447
Closed Access | Times Cited: 130

Showing 76-100 of 130 citing articles:

Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
Li Wang, Lihui Wang, Zi‐Xiang Kuai, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5459-5472
Open Access | Times Cited: 1
EnigmaNet: A Novel Attention-Enhanced Segmentation Framework for Ischemic Stroke Lesion Detection in Brain MRI
S. N. Sinha, Manan Bhatt, Anubhav Anand, et al.
IEEE Access (2024) Vol. 12, pp. 91480-91498
Open Access | Times Cited: 1
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision
Qiankun Ma, Jie Zeng, Jianjia Zhang, et al.
Pattern Recognition (2024) Vol. 156, pp. 110793-110793
Closed Access | Times Cited: 1
Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning
Yufei Tang, Tianling Lyu, Haoyang Jin, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103327-103327
Closed Access | Times Cited: 1
Residual encoder-decoder based architecture for medical image denoising
Abdesselam Ferdi, Said Benierbah, Amir Nakib
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
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 | 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
Cluster Fusion based Cross Teaching for Semi-supervised Medical Image Segmentation
Huaikun Zhang, Xiangyu Lu, Pei Ma, et al.
Neurocomputing (2024), pp. 129147-129147
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
CT-Only Radiotherapy: An Exploratory Study for Automatic Dose Prediction on Rectal Cancer Patients Via Deep Adversarial Network
Jiaqi Cui, Zhengyang Jiao, Zhigong Wei, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 6
Semi-Supervised Medical Image Segmentation Guided by Bi-Directional Constrained Dual-Task Consistency
Mingzhang Pan, Xiao-Lan Liao, Zhen Li, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 225-225
Open Access | Times Cited: 3
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans
Qiangguo Jin, Hui Cui, Changming Sun, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 1188-1193
Closed Access | Times Cited: 3
GEMA—An Automatic Segmentation Method for Real-Time Analysis of Mammalian Cell Growth in Microfluidic Devices
Ramiro Isa-Jara, Camilo Pérez-Sosa, Erick Leonel Macote Yparraguirre, et al.
Journal of Imaging (2022) Vol. 8, Iss. 10, pp. 281-281
Open Access | Times Cited: 5
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images
Huabing Liu, Dong Nie, Dinggang Shen, et al.
Lecture notes in computer science (2022), pp. 118-127
Closed Access | Times Cited: 4
Advanced Image Analysis Methods for Automated Segmentation of Subnuclear Chromatin Domains
Philippe Johann to Berens, Geoffrey Schivre, Marius Theune, et al.
Epigenomes (2022) Vol. 6, Iss. 4, pp. 34-34
Open Access | Times Cited: 4
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network
Pinli Yang, Xingchen Peng, Jianghong Xiao, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 7, pp. 9931-9948
Closed Access | Times Cited: 2
Confidence-guided mask learning for semi-supervised medical image segmentation
Wenxue Li, Wei Lü, Jinghui Chu, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107398-107398
Closed Access | Times Cited: 2
Entropy‐guided contrastive learning for semi‐supervised medical image segmentation
Junsong Xie, Qian Wu, Renju Zhu
IET Image Processing (2023) Vol. 18, Iss. 2, pp. 312-326
Open Access | Times Cited: 2
Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework
Ziyang Wang, Irina Voiculescu
Lecture notes in computer science (2023), pp. 181-190
Closed Access | Times Cited: 2
Semi-supervised Medical Image Segmentation Based on Multi-scale Knowledge Discovery and Multi-task Ensemble
Yudie Tu, Xiangru Li, Yunpeng Zhong, et al.
Lecture notes in computer science (2023), pp. 209-222
Closed Access | Times Cited: 2
Semi-supervised structure attentive temporal mixup coherence for medical image segmentation
S. J. Pawan, Govind Jeevan, Jeny Rajan
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 4, pp. 1149-1161
Closed Access | Times Cited: 3
Two Independent Teachers are Better Role Model
Afifa Khaled, Ahmed A. Mubarak, Kun He
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Splal: Similarity-Based Pseudo-Labeling with Alignment Loss for Semi-Supervised Medical Image Classification
Md Junaid Mahmood, Pranaw Raj, Divyansh Agarwal, et al.
(2023)
Open Access | Times Cited: 1
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation
Li Wang, Lihui Wang, Zi‐Xiang Kuai, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Sparse annotation learning for dense volumetric MR image segmentation with uncertainty estimation
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, et al.
Physics in Medicine and Biology (2023) Vol. 69, Iss. 1, pp. 015009-015009
Closed Access | Times Cited: 1

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