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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:

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
Davood Karimi, Haoran Dou, Simon K. Warfield, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101759-101759
Open Access | Times Cited: 521

Showing 1-25 of 521 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
Deep semantic segmentation of natural and medical images: a review
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Cohen, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 137-178
Closed Access | Times Cited: 688
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images
Guotai Wang, Xinglong Liu, Chaoping Li, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 8, pp. 2653-2663
Open Access | Times Cited: 431
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 341
Comparing different deep learning architectures for classification of chest radiographs
Keno K. Bressem, Lisa C. Adams, Christoph Erxleben, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 171
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Meghavi Rana, Megha Bhushan
Multimedia Tools and Applications (2022) Vol. 82, Iss. 17, pp. 26731-26769
Open Access | Times Cited: 151
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 144
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
Alberto Signoroni, Mattia Savardi, Sergio Benini, et al.
Medical Image Analysis (2021) Vol. 71, pp. 102046-102046
Open Access | Times Cited: 124
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Jinya Su, Xiaoyong Zhu, Shihua Li, et al.
Neurocomputing (2022) Vol. 518, pp. 242-270
Open Access | Times Cited: 119
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations
Davood Karimi, Simon K. Warfield, Ali Gholipour
Artificial Intelligence in Medicine (2021) Vol. 116, pp. 102078-102078
Open Access | Times Cited: 107
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 103
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
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation
Lie Ju, Xin Wang, Lin Wang, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 6, pp. 1533-1546
Closed Access | Times Cited: 70
Federated learning for medical image analysis: A survey
Hao Guan, Pew‐Thian Yap, Andrea Bozoki, et al.
Pattern Recognition (2024) Vol. 151, pp. 110424-110424
Open Access | Times Cited: 70
Labelling instructions matter in biomedical image analysis
Tim Rädsch, Annika Reinke, Vivienn Weru, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 273-283
Open Access | Times Cited: 50
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 20
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang, Qiuye Jin, Shiman Li, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103201-103201
Open Access | Times Cited: 16
Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition
Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3922-3922
Open Access | Times Cited: 101
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han, Quanming Yao, Tongliang Liu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 92
Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN
Abhijith Reddy Beeravolu, Sami Azam, Mirjam Jonkman, et al.
IEEE Access (2021) Vol. 9, pp. 33438-33463
Open Access | Times Cited: 91
Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future
Joyjit Chatterjee, Nina Dethlefs
Renewable and Sustainable Energy Reviews (2021) Vol. 144, pp. 111051-111051
Open Access | Times Cited: 86
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, et al.
Medical Image Analysis (2021) Vol. 70, pp. 101996-101996
Open Access | Times Cited: 84
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
Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices
V. Rajinikanth, Seifedine Kadry, Yunyoung Nam
Information Technology And Control (2021) Vol. 50, Iss. 2, pp. 342-356
Open Access | Times Cited: 68
Anatomy-aided deep learning for medical image segmentation: a review
Lu Liu, Jelmer M. Wolterink, Christoph Brüne, et al.
Physics in Medicine and Biology (2021) Vol. 66, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 63
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