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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:

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology
Christopher P. Bridge, Chris Gorman, Steven C. Pieper, et al.
Journal of Digital Imaging (2022) Vol. 35, Iss. 6, pp. 1719-1737
Open Access | Times Cited: 14

Showing 14 citing articles:

Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology
Chris Gorman, Davide Punzo, Igor Octaviano, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Multi-modal dataset creation for federated learning with DICOM-structured reports
Malte Tölle, Lukas Burger, Halvar Kelm, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Open Access
Thirty Years of the DICOM Standard
Michele Larobina
Tomography (2023) Vol. 9, Iss. 5, pp. 1829-1838
Open Access | Times Cited: 13
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence
Andriy Fedorov, William J.R. Longabaugh, David Pot, et al.
Radiographics (2023) Vol. 43, Iss. 12
Closed Access | Times Cited: 13
Enrichment of lung cancer computed tomography collections with AI-derived annotations
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears
Qi Cheng, Haoran Lin, Jie Zhao, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports
Malte Tölle, Lukas Burger, Halvar Kelm, et al.
Informatik aktuell (2024), pp. 130-135
Closed Access | Times Cited: 2
HistoMIL: A Python package for training multiple instance learning models on histopathology slides
Pan Shi, Maria Secrier
iScience (2023) Vol. 26, Iss. 10, pp. 108073-108073
Open Access | Times Cited: 4
Estimation of Coffee Plantation Production Using Segmentation and Deep Learning Techniques
Jesús Alexander Montalvan Ramos, Lili Yanina Huaman Guerrero
(2024)
Open Access | Times Cited: 1
Imagedata: A Python library to handle medical image data in NumPy array subclass Series
Erling Andersen
The Journal of Open Source Software (2022) Vol. 7, Iss. 73, pp. 4133-4133
Open Access | Times Cited: 7
Management and Application of AI to DICOM Image Processing: A Systematic Mapping Literature Review
Rubén Fraile-Sanchón, Andrea Vázquez‐Ingelmo, Francisco José García‐Peñalvo, et al.
Lecture notes in educational technology (2024), pp. 345-355
Closed Access
Integrated and Interoperable Platform for Detecting Masses on Mammograms
Edouard Chatzopoulos, Sébastien Jodogne
Studies in health technology and informatics (2024)
Open Access
Machine and Deep Learning Dominate Recent Innovations in Sensors, Signals and Imaging Informatics
Christian Baumgärtner, Letícia Rittner, Thomas M. Deserno
Yearbook of Medical Informatics (2023) Vol. 32, Iss. 01, pp. 282-285
Open Access | Times Cited: 1
HistoMIL: a Python package for training Multiple Instance Learning models on histopathology slides
Pan Shi, Maria Secrier
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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