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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:

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 20, pp. 204002-204002
Open Access | Times Cited: 19

Showing 19 citing articles:

Federated learning enables big data for rare cancer boundary detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 170
OpenFL: the open federated learning library
Patrick Foley, Micah Sheller, Brandon Edwards, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 21, pp. 214001-214001
Open Access | Times Cited: 59
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Chun-Mei Feng, Bangjun Li, Xinxing Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 8064-8073
Open Access | Times Cited: 20
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information
Divya Ramakrishnan, Leon Jekel, Saahil Chadha, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 7
Collaborative evaluation for performance assessment of medical imaging applications
Hasan Kassem, Akshita Singh, Alejandro Aristizabal, et al.
Elsevier eBooks (2025), pp. 205-222
Closed Access
Federated Learning in Computer Vision
Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh
IEEE Access (2023) Vol. 11, pp. 94863-94884
Open Access | Times Cited: 13
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation
Dominic LaBella, Omaditya Khanna, Shan McBurney-Lin, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma
Nghi Cong Dung Truong, Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice
Spyridon Bakas, Philipp Kickingereder, Norbert Galldiks, et al.
The Lancet Oncology (2024) Vol. 25, Iss. 11, pp. e589-e601
Closed Access | Times Cited: 2
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
Hongwei Li, Gian Marco Conte, Syed Muhammad Anwar, et al.
PubMed (2023)
Closed Access | Times Cited: 6
An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
Louis Fabrice Tshimanga, Federico Del Pup, Maurizio Corbetta, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5472-5472
Open Access | Times Cited: 4
Federated learning framework integrating REFINED CNN and Deep Regression Forests
Daniel Nolte, Omid Bazgir, Souparno Ghosh, et al.
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 3
An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation study
Zhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 11, pp. 7504-7522
Open Access | Times Cited: 2
Case studies and recommendations for designing federated learning models for digital healthcare systems
Chunying Wu, Pushpanjali Gupta, Sulagna Mohapatra
Elsevier eBooks (2024), pp. 301-323
Closed Access
Windmills in the brain: the radiomic pursuit of MGMT status in gliomas
Hang Cao
European Radiology (2024) Vol. 34, Iss. 9, pp. 5800-5801
Closed Access
Accelerating Parkinson’s Disease drug development with federated learning approaches
A. Jay Khanna, Jamie Adams, Chrystalina A. Antoniades, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid, et al.
PubMed (2024)
Closed Access
Synthesizing 3D multi-contrast brain tumor MRIs using tumor mask conditioning
Nghi Cong Dung Truong, Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, et al.
(2024) Vol. 34, pp. 22-22
Open Access
Poster: A Distributed Deep Reinforcement Learning System for Medical Image Segmentation
Lanyu Xu
(2023) Vol. 48, pp. 189-191
Open Access
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