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:
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
Emerging Trends in AI and Radiomics for Bladder, Kidney, and Prostate Cancer: A Critical Review
Georgios Feretzakis, Patrick Juliebø‐Jones, Arman Tsaturyan, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 810-810
Open Access | Times Cited: 9
Georgios Feretzakis, Patrick Juliebø‐Jones, Arman Tsaturyan, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 810-810
Open Access | Times Cited: 9
Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM
Burak Koçak, Ali Keleş, Tugba Akinci D’Antonoli
European Radiology (2023) Vol. 34, Iss. 4, pp. 2805-2815
Closed Access | Times Cited: 14
Burak Koçak, Ali Keleş, Tugba Akinci D’Antonoli
European Radiology (2023) Vol. 34, Iss. 4, pp. 2805-2815
Closed Access | Times Cited: 14
A comprehensive review of explainable AI for disease diagnosis
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
Al Amin Biswas
Array (2024) Vol. 22, pp. 100345-100345
Open Access | Times Cited: 3
Prediction of extranodal extension in head and neck squamous cell carcinoma by CT images using an evolutionary learning model
Tzu‐Ting Huang, Yi-Chen Lin, Chia-Heng Yen, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Tzu‐Ting Huang, Yi-Chen Lin, Chia-Heng Yen, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review
S. J. Pawan, Joseph M. Rich, Jonathan Le, et al.
iRadiology (2024)
Open Access | Times Cited: 1
S. J. Pawan, Joseph M. Rich, Jonathan Le, et al.
iRadiology (2024)
Open Access | Times Cited: 1
Deep learning model using planar whole-body bone scintigraphy for diagnosis of skull base invasion in patients with nasopharyngeal carcinoma
Xingyu Mu, Zhao Ge, Denglu Lu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 10
Open Access | Times Cited: 1
Xingyu Mu, Zhao Ge, Denglu Lu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 10
Open Access | Times Cited: 1
AI‐powered automated analysis of bone scans: A survey
Qiang Lin, Yang He, Sihan Guo
IET Image Processing (2024)
Open Access | Times Cited: 1
Qiang Lin, Yang He, Sihan Guo
IET Image Processing (2024)
Open Access | Times Cited: 1
