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:
Non-invasively Discriminating the Pathological Subtypes of Non-small Cell Lung Cancer with Pretreatment 18F-FDG PET/CT Using Deep Learning
Hongyue Zhao, Yexin Su, Zhehao Lyu, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 35-45
Closed Access | Times Cited: 13
Hongyue Zhao, Yexin Su, Zhehao Lyu, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 35-45
Closed Access | Times Cited: 13
Showing 13 citing articles:
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
Hongyue Zhao, Yexin Su, Yan Wang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Hongyue Zhao, Yexin Su, Yan Wang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 8
PET radiomics for histologic subtype classification of non-small cell lung cancer: a systematic review and meta-analysis
Jucheng Zhang, Xiaohui Zhang, Yan Zhong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Jucheng Zhang, Xiaohui Zhang, Yan Zhong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Ultrasound-Based Deep Learning Radiomics Models for Predicting Primary and Secondary Salivary Gland Malignancies: A Multicenter Retrospective Study
Zhenhai Xia, Xiao‐Chen Huang, Xinyu Xu, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 391-391
Open Access
Zhenhai Xia, Xiao‐Chen Huang, Xinyu Xu, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 391-391
Open Access
Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET
Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, et al.
Pattern Recognition Letters (2025)
Open Access
Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, et al.
Pattern Recognition Letters (2025)
Open Access
18F-FDG PET/CT-based deep learning models and a clinical-metabolic nomogram for predicting high-grade patterns in lung adenocarcinoma
Yue Guo, Xibin Jia, Chuanxu Yang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Yue Guo, Xibin Jia, Chuanxu Yang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Advanced hybrid attention-based deep learning network with heuristic algorithm for adaptive CT and PET image fusion in lung cancer detection
P. Shyamala Bharathi, C. Shalini
Medical Engineering & Physics (2024) Vol. 126, pp. 104138-104138
Closed Access | Times Cited: 2
P. Shyamala Bharathi, C. Shalini
Medical Engineering & Physics (2024) Vol. 126, pp. 104138-104138
Closed Access | Times Cited: 2
Development of 3DTDUnet++ with novel function and multi-scale dilated-based deep learning model for lung cancer diagnosis using CT images
S. Sridevi, A. RajivKannan
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106243-106243
Closed Access | Times Cited: 2
S. Sridevi, A. RajivKannan
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106243-106243
Closed Access | Times Cited: 2
Altruistic seagull optimization algorithm enables selection of radiomic features for predicting benign and malignant pulmonary nodules
Zhilei Zhao, Shuli Guo, Lina Han, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108996-108996
Closed Access | Times Cited: 1
Zhilei Zhao, Shuli Guo, Lina Han, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108996-108996
Closed Access | Times Cited: 1
Advancing NSCLC pathological subtype prediction with interpretable machine learning: a comprehensive radiomics-based approach
Bingling Kuang, Jingxuan Zhang, Mingqi Zhang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Bingling Kuang, Jingxuan Zhang, Mingqi Zhang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
A classification method embedding atypical patterns for distinguishing tumor subtypes in PET/CT images
Guoyu Tong, Huiyan Jiang, Qiu Luan, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106663-106663
Closed Access
Guoyu Tong, Huiyan Jiang, Qiu Luan, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106663-106663
Closed Access
AI Role to Decipher High-Dimensional Data for Early Prognosis of Non-Small-Cell Lung Cancer
Mahtab Darvish, Ryan Trask, Patrick Tallon, et al.
(2024), pp. 25-42
Closed Access
Mahtab Darvish, Ryan Trask, Patrick Tallon, et al.
(2024), pp. 25-42
Closed Access
Initial Staging of Lung Cancer with FDG PET/CT
Aysu Sinem Koç, Recep Savaş
Current Pulmonology Reports (2024)
Closed Access
Aysu Sinem Koç, Recep Savaş
Current Pulmonology Reports (2024)
Closed Access
Deep learning-based characterization of pathological subtypes in lung invasive adenocarcinoma utilizing 18F-deoxyglucose positron emission tomography imaging
Dongbo Wu, Yingci Li, Mingyan Zhou, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Dongbo Wu, Yingci Li, Mingyan Zhou, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Enhanced NSCLC subtyping and staging through attention-augmented multi-task deep learning: A novel diagnostic tool
Runhuang Yang, Wei‐Ming Li, Siqi Yu, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105694-105694
Closed Access
Runhuang Yang, Wei‐Ming Li, Siqi Yu, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105694-105694
Closed Access
