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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 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 51-75 of 68 citing articles:

Evaluation of Underwater Images Using Genetic Algorithm-Monitored Preprocessing and Morphological Segmentation
V. Rajinikanth, Arulmozhi Rama
Springer tracts in nature-inspired computing (2023), pp. 231-245
Closed 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
Enhancing fine-detail image synthesis from text descriptions by text aggregation and connection fusion module
Huaping Zhou, Tao Wu, Senmao Ye, et al.
Signal Processing Image Communication (2024) Vol. 122, pp. 117099-117099
Closed Access
Defect Segmentation with Limited Labeled Data Using Consistency Regularization and Activation Map Interpolation
Rahul Rathnakumar, Yongming Liu
(2024)
Closed Access
Attention decoupled contrastive learning for semi-supervised segmentation method based on data augmentation
Pan Pan, Houjin Chen, Yanfeng Li, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 12, pp. 125017-125017
Open Access
AMTLUS: Attention-guided multi-task learning with uncertainty estimation in skin lesion segmentation and classification
Aravinda Kasukurthi, R. D.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 37, pp. 84885-84909
Closed Access
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images
Leizi Li, Jingchun Yu, Yijin Li, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition
Yiqian Xu, Ruofan Wang, Rui-Wei Zhao, et al.
IEEE Access (2024) Vol. 12, pp. 122852-122877
Open Access
Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization
Zhenghao Feng, Lu Wen, Binyu Yan, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 2450-2454
Open 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.
(2024)
Closed Access
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction
Jie Zeng, Chongyang Cao, Xingchen Peng, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 2
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning
Zhengyang Jiao, Xingchen Peng, Jianghong Xiao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 38, pp. 1-5
Closed Access | Times Cited: 1
CAFS: An Attention-Based Co-Segmentation Semi-Supervised Method for Nasopharyngeal Carcinoma Segmentation
Yitong Chen, Guanghui Han, Tianyu Lin, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 5053-5053
Open Access | Times Cited: 1
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation
Martin Van Waerebeke, Gregory A. Lodygensky, José Dolz
Lecture notes in computer science (2022), pp. 36-46
Closed Access | Times Cited: 1
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation
Cheng Tang, Xinyi Zeng, Luping Zhou, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Closed Access
Defect Segmentation with Limited Labeled Data Using Consistency Regularization and Activation Map Interpolation
Rahul Rathnakumar, Yongming Liu
(2023)
Closed Access
A Domain Knowledge-Based Semi-supervised Pancreas Segmentation Approach
Siqi Ma, Zhe Liu, Yuqing Song, et al.
Lecture notes in computer science (2023), pp. 69-82
Closed Access
Kidney Tumor Segmentation through Semi-supervised Learning Based on Mean Teacher Using Kidney Local Guided Map in Abdominal CT Images
Heeyoung Jeong, Hyeonjin Kim, Helen Hong
Journal of the Korea Computer Graphics Society (2023) Vol. 29, Iss. 5, pp. 21-30
Open Access
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