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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:

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

Showing 1-25 of 207 citing articles:

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Benjamin Billot, Douglas N. Greve, Oula Puonti, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102789-102789
Open Access | Times Cited: 210
Mutual consistency learning for semi-supervised medical image segmentation
Yicheng Wu, Zongyuan Ge, Donghao Zhang, et al.
Medical Image Analysis (2022) Vol. 81, pp. 102530-102530
Open Access | Times Cited: 185
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai, Duowen Chen, Qingli Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 11514-11524
Open Access | Times Cited: 121
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
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
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Chenyu You, Ruihan Zhao, Lawrence H. Staib, et al.
Lecture notes in computer science (2022), pp. 639-652
Open Access | Times Cited: 102
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
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
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: 63
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation
Chenyu You, Weicheng Dai, Yifei Min, et al.
Lecture notes in computer science (2023), pp. 641-653
Open Access | Times Cited: 59
Deep semi-supervised learning for medical image segmentation: A review
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 44
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, et al.
IEEE Access (2024) Vol. 12, pp. 41180-41218
Open Access | Times Cited: 28
Class-Aware Adversarial Transformers for Medical Image Segmentation
Chenyu You, Ruihan Zhao, Fenglin Liu, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 56
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation
Zhe Xu, Yixin Wang, Donghuan Lu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3174-3184
Open Access | Times Cited: 53
An Effective Semi-Supervised Approach for Liver CT Image Segmentation
Kai Han, Lu Liu, Yuqing Song, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3999-4007
Closed Access | Times Cited: 50
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You, Jinlin Xiang, Kun Su, et al.
Lecture notes in computer science (2022), pp. 3-16
Closed Access | Times Cited: 48
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval
Haoyu Ma, Handong Zhao, Zhe Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 18030-18040
Closed Access | Times Cited: 40
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Chenyu You, Weicheng Dai, Yifei Min, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 37
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification
Yuhan Zhang, Luyang Luo, Qi Dou, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102772-102772
Closed Access | Times Cited: 34
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
Chenyu You, Weicheng Dai, Yifei Min, et al.
Lecture notes in computer science (2023), pp. 561-571
Open Access | Times Cited: 34
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast
Chenyu You, Weicheng Dai, Yifei Min, et al.
Lecture notes in computer science (2023), pp. 194-205
Open Access | Times Cited: 34
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation
Xiangyu Zhao, Zengxin Qi, Sheng Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 251-261
Open Access | Times Cited: 33
A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-16
Closed Access | Times Cited: 31
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
Ange Lou, Kareem O. Tawfik, Xing Yao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 2832-2841
Open Access | Times Cited: 28
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