Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Demographic bias in misdiagnosis by computational pathology models
Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 1174-1190
Closed Access | Times Cited: 22

Showing 22 citing articles:

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: 2
Towards equitable AI in oncology
Vidya Sankar Viswanathan, Vani Parmar, Anant Madabhushi
Nature Reviews Clinical Oncology (2024) Vol. 21, Iss. 8, pp. 628-637
Closed Access | Times Cited: 12
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models
Baradwaj Simha Sankar, D. Gary Gilliland, Jack Rincon, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 984-984
Open Access | Times Cited: 5
The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Current Advancements in Digital Neuropathology and Machine Learning for the Study of Neurodegenerative Diseases
Dana R. Julian, Afshin Bahramy, M. Pinson Neal, et al.
American Journal Of Pathology (2025)
Open Access
AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology
Yihong Ma, Shivprasad Jamdade, Lakshmi Konduri, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology
Qinqin Huang, Sean M. Wu, Zhenyu Ou, et al.
(2025)
Closed Access
Demographic bias of expert-level vision-language foundation models in medical imaging
Yuzhe Yang, Yujia Liu, Xin Liu, et al.
Science Advances (2025) Vol. 11, Iss. 13
Closed Access
Computational pathology for breast cancer: where do we stand for prognostic applications?
Grégoire Gessain, Magali Lacroix‐Triki
The Breast (2025), pp. 104464-104464
Open Access
NLP-enriched social determinants of health improve prediction of suicide death among the Veterans
Zhichao Yang, Avijit Mitra, Wen Hu, et al.
Research Square (Research Square) (2025)
Closed Access
The current landscape of artificial intelligence in computational histopathology for cancer diagnosis
Aaditya Tiwari, Aruni Ghose, Maryam Hasanova, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Artificial intelligence-enhanced interpretation of kidney transplant biopsy: focus on rejection
Alton B. Farris, Jeroen van der Laak, Dominique van Midden
Current Opinion in Organ Transplantation (2025)
Closed Access
Investigation on potential bias factors in histopathology datasets
Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective
Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, et al.
Journal of Imaging (2025) Vol. 11, Iss. 4, pp. 110-110
Open Access
Practical Application of Deep Learning in Diagnostic Neuropathology—Reimagining a Histological Asset in the Era of Precision Medicine
Katherine Rich, Kira Tosefsky, Karina Chornenka Martin, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 1976-1976
Open Access | Times Cited: 2
The age of foundation models
Jana Lipková, Jakob Nikolas Kather
Nature Reviews Clinical Oncology (2024) Vol. 21, Iss. 11, pp. 769-770
Closed Access | Times Cited: 2
Using unlabeled data to enhance fairness of medical AI
Rajiv Movva, Pang Wei Koh, Emma Pierson
Nature Medicine (2024) Vol. 30, Iss. 4, pp. 944-945
Closed Access
Deep feature batch correction using ComBat for machine learning applications in computational pathology
Pierre Murchan, Pilib Ó Broin, Anne‐Marie Baird, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100396-100396
Open Access
Digital and Computational Pathology Applications in Bladder Cancer: Novel Tools Addressing Clinically Pressing Needs
João Lobo, Bassel Zein‐Sabatto, Priti Lal, et al.
Modern Pathology (2024) Vol. 38, Iss. 1, pp. 100631-100631
Closed Access
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
Dilermando Queiroz, André Anjos, L. Berton
Lecture notes in computer science (2024), pp. 109-118
Closed Access
Ten challenges and opportunities in computational immuno-oncology
Riyue Bao, Alan D. Hutson, Mohammadhadi Khorrami, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 10, pp. e009721-e009721
Open Access
Deep Learning-Based Classification of CKD by Renal Lymphatic Vessel Immunohistochemical Slides
Xin Xu, Shujie Wang, Guangchang Pei, et al.
(2024)
Closed Access
Page 1

Scroll to top