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 NPC segmentation with uncertainty and attention guided consistency
Lin Hu, Jiaxin Li, Xingchen Peng, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 108021-108021
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

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: 132
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
Unified medical image segmentation by learning from uncertainty in an end-to-end manner
Tang Pin, Pinli Yang, Dong Nie, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108215-108215
Closed Access | Times Cited: 83
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: 70
A review of uncertainty estimation and its application in medical imaging
Ke Zou, Zhihao Chen, Xuedong Yuan, et al.
Meta-Radiology (2023) Vol. 1, Iss. 1, pp. 100003-100003
Open Access | Times Cited: 59
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Senan Doyle, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102830-102830
Open Access | Times Cited: 57
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
Zhen Zhao, Lihe Yang, Sifan Long, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 51
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods
Ling Huang, Su Ruan, Yucheng Xing, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103223-103223
Open Access | Times Cited: 19
Multi-constraint generative adversarial network for dose prediction in radiotherapy
Bo Zhan, Jianghong Xiao, Chongyang Cao, et al.
Medical Image Analysis (2021) Vol. 77, pp. 102339-102339
Closed Access | Times Cited: 80
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis
Yanmei Luo, Luping Zhou, Bo Zhan, et al.
Medical Image Analysis (2021) Vol. 77, pp. 102335-102335
Closed Access | Times Cited: 74
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease
Yuang Shi, Chen Zu, Hong Mei, et al.
Pattern Recognition (2022) Vol. 126, pp. 108566-108566
Open Access | Times Cited: 64
Machine learning: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 53
Multi-level progressive transfer learning for cervical cancer dose prediction
Lu Wen, Jianghong Xiao, Jie Zeng, et al.
Pattern Recognition (2023) Vol. 141, pp. 109606-109606
Closed Access | Times Cited: 28
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction
Lu Wen, Jianghong Xiao, Shuai Tan, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 08
Open Access | Times Cited: 24
Semi-supervised Strong-Teacher Consistency Learning for few-shot cardiac MRI image segmentation
Yuting Qiu, James Meng, Baihua Li
Computer Methods and Programs in Biomedicine (2025), pp. 108613-108613
Closed Access | Times Cited: 1
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
Huidong Li, Xingchen Peng, Jie Zeng, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108324-108324
Closed Access | Times Cited: 37
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation
Kaiping Wang, Yan Wang, Bo Zhan, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 09
Closed Access | Times Cited: 30
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
Zhengyang Jiao, Xingchen Peng, Yan Wang, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102902-102902
Closed Access | Times Cited: 23
Semi-supervised medical image segmentation via hard positives oriented contrastive learning
Cheng Tang, Xinyi Zeng, Luping Zhou, et al.
Pattern Recognition (2023) Vol. 146, pp. 110020-110020
Closed Access | Times Cited: 23
Complementary consistency semi-supervised learning for 3D left atrial image segmentation
Hejun Huang, Zuguo Chen, Chaoyang Chen, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107368-107368
Open Access | Times Cited: 21
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation
Huimin Wu, Xiaomeng Li, Yiqun Lin, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3244-3255
Open Access | Times Cited: 20
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation
Chenchu Xu, Yuan Yang, Zhiqiang Xia, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 4, pp. 1156-1170
Closed Access | Times Cited: 17
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
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation
Yuang Shi, Chen Zu, Pinli Yang, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110598-110598
Closed Access | Times Cited: 14
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top