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:
Fast and scalable search of whole-slide images via self-supervised deep learning
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1420-1434
Open Access | Times Cited: 71
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, et al.
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1420-1434
Open Access | Times Cited: 71
Showing 1-25 of 71 citing articles:
A visual–language foundation model for pathology image analysis using medical Twitter
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
Nature Medicine (2023) Vol. 29, Iss. 9, pp. 2307-2316
Closed Access | Times Cited: 212
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
Nature Medicine (2023) Vol. 29, Iss. 9, pp. 2307-2316
Closed Access | Times Cited: 212
Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 199
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 199
A visual-language foundation model for computational pathology
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 127
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 127
Artificial intelligence for digital and computational pathology
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 84
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, et al.
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 12, pp. 930-949
Closed Access | Times Cited: 84
Light-sheets and smart microscopy, an exciting future is dawning
Stephan Daetwyler, Reto Fiolka
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 51
Stephan Daetwyler, Reto Fiolka
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 51
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 48
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 48
A pathology foundation model for cancer diagnosis and prognosis prediction
Xiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature (2024) Vol. 634, Iss. 8035, pp. 970-978
Closed Access | Times Cited: 43
Xiyue Wang, Junhan Zhao, Eliana Marostica, et al.
Nature (2024) Vol. 634, Iss. 8035, pp. 970-978
Closed Access | Times Cited: 43
Virtual formalin-fixed and paraffin-embedded staining of fresh brain tissue via stimulated Raman CycleGAN model
Zhijie Liu, Lingchao Chen, Haixia Cheng, et al.
Science Advances (2024) Vol. 10, Iss. 13
Open Access | Times Cited: 29
Zhijie Liu, Lingchao Chen, Haixia Cheng, et al.
Science Advances (2024) Vol. 10, Iss. 13
Open Access | Times Cited: 29
Machine learning in computational histopathology: Challenges and opportunities
Michael Cooper, Zongliang Ji, Rahul G. Krishnan
Genes Chromosomes and Cancer (2023) Vol. 62, Iss. 9, pp. 540-556
Open Access | Times Cited: 23
Michael Cooper, Zongliang Ji, Rahul G. Krishnan
Genes Chromosomes and Cancer (2023) Vol. 62, Iss. 9, pp. 540-556
Open Access | Times Cited: 23
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Artificial intelligence-based biomarkers for treatment decisions in oncology
Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, et al.
Trends in cancer (2025)
Open Access | Times Cited: 1
Marta Ligero, Omar S.M. El Nahhas, Mihaela Aldea, et al.
Trends in cancer (2025)
Open Access | Times Cited: 1
Exploring Self-Supervised Learning for Disease Detection and Classification in Digital Pathology: A review
Abdulahi Mahammed Adem, Ravi Kant, S Sonia, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition
Open Access | Times Cited: 1
Abdulahi Mahammed Adem, Ravi Kant, S Sonia, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition
Open Access | Times Cited: 1
Leveraging medical Twitter to build a visual–language foundation model for pathology AI
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 20
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 20
Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories
Yuan-Chih Chen, Chun-Shien Lu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 23936-23945
Closed Access | Times Cited: 15
Yuan-Chih Chen, Chun-Shien Lu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 23936-23945
Closed Access | Times Cited: 15
On image search in histopathology
Hamid R. Tizhoosh, Liron Pantanowitz
Journal of Pathology Informatics (2024) Vol. 15, pp. 100375-100375
Open Access | Times Cited: 5
Hamid R. Tizhoosh, Liron Pantanowitz
Journal of Pathology Informatics (2024) Vol. 15, pp. 100375-100375
Open Access | Times Cited: 5
The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools
Gavino Faa, Massimo Castagnola, Luca Didaci, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 254-254
Open Access | Times Cited: 5
Gavino Faa, Massimo Castagnola, Luca Didaci, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 254-254
Open Access | Times Cited: 5
Applied machine learning in hematopathology
Taher Dehkharghanian, Youqing Mu, Hamid R. Tizhoosh, et al.
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. S2, pp. 87-94
Open Access | Times Cited: 11
Taher Dehkharghanian, Youqing Mu, Hamid R. Tizhoosh, et al.
International Journal of Laboratory Hematology (2023) Vol. 45, Iss. S2, pp. 87-94
Open Access | Times Cited: 11
Towards interpretable imaging genomics analysis: Methodological developments and applications
Xiaoping Cen, Wei Dong, Wei Lv, et al.
Information Fusion (2023) Vol. 102, pp. 102032-102032
Closed Access | Times Cited: 11
Xiaoping Cen, Wei Dong, Wei Lv, et al.
Information Fusion (2023) Vol. 102, pp. 102032-102032
Closed Access | Times Cited: 11
Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review
Mingyue Li, Yu Pan, Yang Lv, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Mingyue Li, Yu Pan, Yang Lv, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Unsupervised Visual Similarity-Based Medical Image Retrieval via Dual-Encoder and Metric Learning
Xuchu Weng, Yan Zhuang, Rui Wang, et al.
Neurocomputing (2025), pp. 129861-129861
Closed Access
Xuchu Weng, Yan Zhuang, Rui Wang, et al.
Neurocomputing (2025), pp. 129861-129861
Closed Access
Pathology report generation from whole slide images with knowledge retrieval and multi-level regional feature selection
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108677-108677
Closed Access
Dingyi Hu, Zhiguo Jiang, Jun Shi, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108677-108677
Closed Access
Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Bojing Liu, Meaghan Polack, Nicolas Coudray, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning
Emanuele Tauro, Alessandra Gorini, Grzegorz Bilo, et al.
Journal of Biomedical Informatics (2025), pp. 104815-104815
Open Access
Emanuele Tauro, Alessandra Gorini, Grzegorz Bilo, et al.
Journal of Biomedical Informatics (2025), pp. 104815-104815
Open Access
Pathologyvlm: a large vision-language model for pathology image understanding
Dawei Dai, Yuanhui Zhang, Qianlan Yang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Dawei Dai, Yuanhui Zhang, Qianlan Yang, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
