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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:

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation
Xiaomeng Li, Lequan Yu, Hao Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 2, pp. 523-534
Open Access | Times Cited: 405

Showing 1-25 of 405 citing articles:

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101693-101693
Open Access | Times Cited: 719
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 538
Medical image segmentation using deep learning: A survey
Risheng Wang, Tao Lei, Ruixia Cui, et al.
IET Image Processing (2022) Vol. 16, Iss. 5, pp. 1243-1267
Open Access | Times Cited: 429
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo, Jieneng Chen, Tao Song, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 10, pp. 8801-8809
Open Access | Times Cited: 389
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model
Quande Liu, Lequan Yu, Luyang Luo, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 11, pp. 3429-3440
Open Access | Times Cited: 245
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Chenyu You, Yuan Zhou, Ruihan Zhao, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2228-2237
Open Access | Times Cited: 207
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
Xiangde Luo, Guotai Wang, Wenjun Liao, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102517-102517
Closed Access | Times Cited: 186
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Xiangde Luo, Wenjun Liao, Jieneng Chen, et al.
Lecture notes in computer science (2021), pp. 318-329
Open Access | Times Cited: 161
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
Naveen Paluru, Aveen Dayal, Håvard Bjørke Jenssen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 32, Iss. 3, pp. 932-946
Open Access | Times Cited: 152
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia, Fengze Liu, Dong Yang, et al.
(2020), pp. 3635-3644
Open Access | Times Cited: 148
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
Xiaoming Liu, Quan Yuan, Yaozong Gao, et al.
Pattern Recognition (2021) Vol. 122, pp. 108341-108341
Open Access | Times Cited: 131
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation
Yinghuan Shi, Jian Zhang, Tong Ling, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 3, pp. 608-620
Open Access | Times Cited: 126
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: 120
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li, Junlin Yang, Karsten Kreis, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8296-8307
Open Access | Times Cited: 119
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
Krishna Chaitanya, Ertunç Erdil, Neerav Karani, et al.
Medical Image Analysis (2023) Vol. 87, pp. 102792-102792
Open Access | Times Cited: 107
Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
Zhouxiao Li, Konstantin Christoph Koban, Thilo L. Schenck, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6826-6826
Open Access | Times Cited: 104
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Yicheng Wu, Zhonghua Wu, Qianyi Wu, et al.
Lecture notes in computer science (2022), pp. 34-43
Closed Access | Times Cited: 83
Ambiguous Medical Image Segmentation Using Diffusion Models
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 81
A survey on deep learning for skin lesion segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102863-102863
Open Access | Times Cited: 77
Semi-supervised learning for medical image classification using imbalanced training data
Tri Huynh, Aiden Nibali, Zhen He
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106628-106628
Open Access | Times Cited: 76
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo, Wenjun Liao, Jianghong Xiao, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102642-102642
Open Access | Times Cited: 76
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 3, pp. 3099-3107
Open Access | Times Cited: 70
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak, Zhaozheng Yin
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19786-19797
Closed Access | Times Cited: 70
Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network
Tao Lei, Dong Zhang, Xiaogang Du, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 5, pp. 1265-1277
Open Access | Times Cited: 69
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
Yongchao Wang, Bin Xiao, Xiuli Bi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15651-15660
Closed Access | Times Cited: 64
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