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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:

Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
Lecture notes in computer science (2020), pp. 137-147
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102680-102680
Open Access | Times Cited: 703
Deep learning for chest X-ray analysis: A survey
Erdi Çallı, Ecem Sogancioglu, Bram van Ginneken, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102125-102125
Open Access | Times Cited: 321
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
Taehun Kim, Hyemin Lee, Daijin Kim
Proceedings of the 30th ACM International Conference on Multimedia (2021), pp. 2167-2175
Open Access | Times Cited: 198
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao, Yutong Bai, Alan Yuille, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3577-3589
Open Access | Times Cited: 48
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works
Chao Tao, Ji Qi, Mingning Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-26
Open Access | Times Cited: 47
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, et al.
Lecture notes in computer science (2020)
Open Access | Times Cited: 127
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2857-2868
Open Access | Times Cited: 96
Deep Neural Architectures for Medical Image Semantic Segmentation: Review
Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, et al.
IEEE Access (2021) Vol. 9, pp. 83002-83024
Open Access | Times Cited: 74
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 64
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20792-20802
Open Access | Times Cited: 59
Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives
Shahid Karim, Geng Tong, Yiting Yu, et al.
IEEE Access (2024) Vol. 12, pp. 26875-26896
Open Access | Times Cited: 9
Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103086-103086
Closed Access | Times Cited: 8
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild
Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 10097-10107
Open Access | Times Cited: 47
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, et al.
Medical Image Analysis (2021) Vol. 71, pp. 101997-101997
Open Access | Times Cited: 45
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, et al.
Lecture notes in computer science (2021), pp. 3-13
Open Access | Times Cited: 45
A Review of Self-supervised Learning Methods in the Field of Medical Image Analysis
Jiashu Xu
International Journal of Image Graphics and Signal Processing (2021) Vol. 13, Iss. 4, pp. 33-46
Open Access | Times Cited: 41
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training
Yuting He, Guanyu Yang, Rongjun Ge, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 9538-9547
Open Access | Times Cited: 16
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation
Qinji Yu, Kang Dang, Nima Tajbakhsh, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)
Open Access | Times Cited: 35
Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)
Jue Jiang, Neelam Tyagi, Kathryn R. Tringale, et al.
Lecture notes in computer science (2022), pp. 556-566
Open Access | Times Cited: 24
autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation
Zhonghua Wang, Junyan Lyu, Xiaoying Tang
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 12, pp. 3501-3511
Closed Access | Times Cited: 11
Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism
Nahid Ul Islam, Zongwei Zhou, Shiv Gehlot, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102988-102988
Closed Access | Times Cited: 11
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Zeyu Fu, Jianbo Jiao, Robail Yasrab, et al.
Lecture notes in computer science (2023), pp. 422-436
Closed Access | Times Cited: 10
Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times
Sung‐Nien Yu, Meng-Chin Chiu, Yu Ping Chang, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1478-1478
Open Access | Times Cited: 3
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