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:
Preparing Data for Artificial Intelligence in Pathology with Clinical-Grade Performance
Yuanqing Yang, Kai Sun, Yanhua Gao, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3115-3115
Open Access | Times Cited: 14
Yuanqing Yang, Kai Sun, Yanhua Gao, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3115-3115
Open Access | Times Cited: 14
Showing 14 citing articles:
Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions
Giorgio Cazzaniga, Mattia Rossi, Albino Eccher, et al.
Journal of Nephrology (2023) Vol. 37, Iss. 1, pp. 65-76
Open Access | Times Cited: 12
Giorgio Cazzaniga, Mattia Rossi, Albino Eccher, et al.
Journal of Nephrology (2023) Vol. 37, Iss. 1, pp. 65-76
Open Access | Times Cited: 12
Multi head attention based conditional progressive GAN for colon cancer histopathological images analysis
Harikrishna Mulam, Venkata Rambabu Chikati, Anita Kulkarni
Multimedia Tools and Applications (2025)
Closed Access
Harikrishna Mulam, Venkata Rambabu Chikati, Anita Kulkarni
Multimedia Tools and Applications (2025)
Closed Access
Artificial intelligence in cancer pathology: Applications, challenges, and future directions
Jiu-Le Wang, Teng Wang, Rui Han, et al.
CytoJournal (2025) Vol. 22, pp. 45-45
Open Access
Jiu-Le Wang, Teng Wang, Rui Han, et al.
CytoJournal (2025) Vol. 22, pp. 45-45
Open Access
Applications of artificial intelligence and machine learning in microbial diagnostics and identification
Navaneet Chaturvedi, Manoj Kumar Yadav, Mohit Sharma
Methods in microbiology (2024), pp. 213-230
Closed Access | Times Cited: 3
Navaneet Chaturvedi, Manoj Kumar Yadav, Mohit Sharma
Methods in microbiology (2024), pp. 213-230
Closed Access | Times Cited: 3
Advancements in pathology: Digital transformation, precision medicine, and beyond
S. Ahuja, Sufian Zaheer
Journal of Pathology Informatics (2024) Vol. 16, pp. 100408-100408
Open Access | Times Cited: 3
S. Ahuja, Sufian Zaheer
Journal of Pathology Informatics (2024) Vol. 16, pp. 100408-100408
Open Access | Times Cited: 3
The use of generative artificial intelligence (AI) in teaching and assessment of postgraduate students in pathology and microbiology
Dipmala Das, Asitava Deb Roy, Subhayan Dasgupta, et al.
Indian Journal of Microbiology Research (2024) Vol. 11, Iss. 3, pp. 140-146
Open Access | Times Cited: 2
Dipmala Das, Asitava Deb Roy, Subhayan Dasgupta, et al.
Indian Journal of Microbiology Research (2024) Vol. 11, Iss. 3, pp. 140-146
Open Access | Times Cited: 2
Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners
Ariel Greenberg, Benzion Samueli, Shai Farkash, et al.
Diagnostic Pathology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Ariel Greenberg, Benzion Samueli, Shai Farkash, et al.
Diagnostic Pathology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Biodistribution Assessment of a Novel 68Ga-Labeled Radiopharmaceutical in a Cancer Overexpressing CCK2R Mouse Model: Conventional and Radiomics Methods for Analysis
Anna Maria Pavone, Viviana Benfante, Paolo Giaccone, et al.
Life (2024) Vol. 14, Iss. 3, pp. 409-409
Open Access | Times Cited: 1
Anna Maria Pavone, Viviana Benfante, Paolo Giaccone, et al.
Life (2024) Vol. 14, Iss. 3, pp. 409-409
Open Access | Times Cited: 1
Detailed Image Data Quality and Cleaning Practices for Artificial Intelligence Tools for Breast Cancer
D. Y. Wu, Yisheng Fang, Dat T. Vo, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access | Times Cited: 1
D. Y. Wu, Yisheng Fang, Dat T. Vo, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access | Times Cited: 1
Enhancing Medical Imaging Segmentation with GB-SAM: A Novel Approach to Tissue Segmentation Using Granular Box Prompts
Ismael Villanueva-Miranda, Ruichen Rong, Peiran Quan, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2391-2391
Open Access | Times Cited: 1
Ismael Villanueva-Miranda, Ruichen Rong, Peiran Quan, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2391-2391
Open Access | Times Cited: 1
Leveraging foundation and large language models in medical artificial intelligence
Io Nam Wong, Olivia Monteiro, Daniel T. Baptista‐Hon, et al.
Chinese Medical Journal (2024) Vol. 137, Iss. 21, pp. 2529-2539
Open Access | Times Cited: 1
Io Nam Wong, Olivia Monteiro, Daniel T. Baptista‐Hon, et al.
Chinese Medical Journal (2024) Vol. 137, Iss. 21, pp. 2529-2539
Open Access | Times Cited: 1
For the busy clinical-imaging professional in an AI world: Gaining intuition about deep learning without math
D. Y. Wu, Dat T. Vo, Stephen Seiler
Journal of medical imaging and radiation sciences (2024) Vol. 56, Iss. 1, pp. 101762-101762
Closed Access
D. Y. Wu, Dat T. Vo, Stephen Seiler
Journal of medical imaging and radiation sciences (2024) Vol. 56, Iss. 1, pp. 101762-101762
Closed Access
Artificial intelligence in surgical pathology – where do we stand, where do we go?
Chen Sagiv, Ofir Hadar, Alex Najjar, et al.
European Journal of Surgical Oncology (2024), pp. 109541-109541
Closed Access
Chen Sagiv, Ofir Hadar, Alex Najjar, et al.
European Journal of Surgical Oncology (2024), pp. 109541-109541
Closed Access
AI-Ready Multimodal Data Pipeline to Enrich Cancer Care
Rezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8814-8818
Closed Access
Rezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 8814-8818
Closed Access
