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:
End‐to‐end domain knowledge‐assisted automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using computed tomography (CT)
Wenxi Yu, Hua Zhou, Jonathan Goldin, et al.
Medical Physics (2021) Vol. 48, Iss. 5, pp. 2458-2467
Open Access | Times Cited: 7
Wenxi Yu, Hua Zhou, Jonathan Goldin, et al.
Medical Physics (2021) Vol. 48, Iss. 5, pp. 2458-2467
Open Access | Times Cited: 7
Showing 7 citing articles:
Radiomics and Artificial Intelligence in Pulmonary Fibrosis
Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda
Deleted Journal (2025)
Closed Access | Times Cited: 1
Stefania L. Chantzi, Alexandra Kosvyra, Ioanna Chouvarda
Deleted Journal (2025)
Closed Access | Times Cited: 1
Evaluating the robustness of deep learning models trained to diagnose idiopathic pulmonary fibrosis using a retrospective study
Wenxi Yu, Michael F. McNitt‐Gray, Jonathan Goldin, et al.
Medical Physics (2025)
Closed Access
Wenxi Yu, Michael F. McNitt‐Gray, Jonathan Goldin, et al.
Medical Physics (2025)
Closed Access
Medical informed machine learning: A scoping review and future research directions
Florian Leiser, Sascha Rank, Manuel Schmidt-Kraepelin, et al.
Artificial Intelligence in Medicine (2023) Vol. 145, pp. 102676-102676
Closed Access | Times Cited: 8
Florian Leiser, Sascha Rank, Manuel Schmidt-Kraepelin, et al.
Artificial Intelligence in Medicine (2023) Vol. 145, pp. 102676-102676
Closed Access | Times Cited: 8
Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images
Wenxi Yu, Hua Zhou, Youngwon Choi, et al.
Medical Physics (2022) Vol. 50, Iss. 2, pp. 894-905
Open Access | Times Cited: 13
Wenxi Yu, Hua Zhou, Youngwon Choi, et al.
Medical Physics (2022) Vol. 50, Iss. 2, pp. 894-905
Open Access | Times Cited: 13
Modified U-Net Based Covid-19 Lesion Segmentation Using CT Scans
Gopika Gopan K, Pavan Sudeesh Peruru, Neelam Sinha
2022 IEEE International Conference on Signal Processing and Communications (SPCOM) (2022), pp. 1-5
Closed Access | Times Cited: 3
Gopika Gopan K, Pavan Sudeesh Peruru, Neelam Sinha
2022 IEEE International Conference on Signal Processing and Communications (SPCOM) (2022), pp. 1-5
Closed Access | Times Cited: 3
Deep learning in interstitial lung disease: classification and prognostic insights
Yisong Wang, Youlan Shang, Jiaqi Yao, et al.
Radiology Science (2024) Vol. 3, Iss. 1
Closed Access
Yisong Wang, Youlan Shang, Jiaqi Yao, et al.
Radiology Science (2024) Vol. 3, Iss. 1
Closed Access
Study of malnutrition in patients with idiopathic pulmonary fibrosis
Aya A. Dayem, Esraa R. Knany, Dina Ruby
Egyptian Journal of Chest Diseases and Tuberculosis (2024) Vol. 73, Iss. 4, pp. 337-342
Open Access
Aya A. Dayem, Esraa R. Knany, Dina Ruby
Egyptian Journal of Chest Diseases and Tuberculosis (2024) Vol. 73, Iss. 4, pp. 337-342
Open Access
