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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:

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
Medical Image Analysis (2019) Vol. 54, pp. 280-296
Open Access | Times Cited: 769

Showing 1-25 of 769 citing articles:

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 8, pp. 2626-2637
Open Access | Times Cited: 1077
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
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 5, pp. 820-838
Open Access | Times Cited: 683
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 632
Transformers in medical imaging: A survey
Fahad Shamshad, Salman Khan, Syed Waqas Zamir, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102802-102802
Open Access | Times Cited: 572
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
Medical Image Analysis (2020) Vol. 67, pp. 101813-101813
Open Access | Times Cited: 559
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
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
A Review of Domain Adaptation without Target Labels
Wouter M. Kouw, Marco Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019) Vol. 43, Iss. 3, pp. 766-785
Open Access | Times Cited: 457
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Kaustav Bera, Nathaniel Braman, Amit Gupta, et al.
Nature Reviews Clinical Oncology (2021) Vol. 19, Iss. 2, pp. 132-146
Open Access | Times Cited: 455
A Decade Survey of Transfer Learning (2010–2020)
Shuteng Niu, Yongxin Liu, Jian Wang, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 2, pp. 151-166
Open Access | Times Cited: 437
A survey on active learning and human-in-the-loop deep learning for medical image analysis
Samuel Budd, Emma C. Robinson, Bernhard Kainz
Medical Image Analysis (2021) Vol. 71, pp. 102062-102062
Open Access | Times Cited: 430
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 3458-3468
Open Access | Times Cited: 415
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1837-1857
Open Access | Times Cited: 407
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
Machine learning for medical imaging: methodological failures and recommendations for the future
Gaël Varoquaux, Veronika Cheplygina
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 370
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
Computers in Biology and Medicine (2020) Vol. 128, pp. 104115-104115
Open Access | Times Cited: 367
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
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
Hanna Borgli, Vajira Thambawita, Pia H. Smedsrud, et al.
Scientific Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 327
Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 312
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
Zhongyi Han, Benzheng Wei, Yanfei Hong, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 8, pp. 2584-2594
Closed Access | Times Cited: 296
Artificial intelligence and machine learning for medical imaging: A technology review
Ana María Barragán Montero, Umair Javaid, Gilmer Valdés, et al.
Physica Medica (2021) Vol. 83, pp. 242-256
Open Access | Times Cited: 264
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
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?
Jun Ma, Yao Zhang, Song Gu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 10, pp. 6695-6714
Open Access | Times Cited: 239
Spatial components of molecular tissue biology
Giovanni Palla, David S. Fischer, Aviv Regev, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 3, pp. 308-318
Closed Access | Times Cited: 233
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