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:
Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
EJNMMI Research (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
EJNMMI Research (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Showing 7 citing articles:
A radiomic‐ and dosiomic‐based machine learning regression model for pretreatment planning in 177Lu‐DOTATATE therapy
Dimitris Plachouris, Vassilios Eleftheriadis, Thomas Nanos, et al.
Medical Physics (2023) Vol. 50, Iss. 11, pp. 7222-7235
Open Access | Times Cited: 8
Dimitris Plachouris, Vassilios Eleftheriadis, Thomas Nanos, et al.
Medical Physics (2023) Vol. 50, Iss. 11, pp. 7222-7235
Open Access | Times Cited: 8
Preoperative prediction of lymph node metastasis in colorectal cancer using 18F‐FDG PET/CT peritumoral radiomics analysis
Yan Wang, Hongyue Zhao, Peng Fu, et al.
Medical Physics (2024) Vol. 51, Iss. 8, pp. 5214-5225
Closed Access | Times Cited: 1
Yan Wang, Hongyue Zhao, Peng Fu, et al.
Medical Physics (2024) Vol. 51, Iss. 8, pp. 5214-5225
Closed Access | Times Cited: 1
Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [18F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) in Patients with Head and Neck Cancer
Francesco Bianconi, Roberto Salis, Mario Luca Fravolini, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7952-7952
Open Access | Times Cited: 2
Francesco Bianconi, Roberto Salis, Mario Luca Fravolini, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7952-7952
Open Access | Times Cited: 2
Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer
Shuyan Li, Jiayi Xie, Jinghua Liu, et al.
Journal of Computer Assisted Tomography (2024) Vol. 48, Iss. 3, pp. 498-507
Closed Access
Shuyan Li, Jiayi Xie, Jinghua Liu, et al.
Journal of Computer Assisted Tomography (2024) Vol. 48, Iss. 3, pp. 498-507
Closed Access
Multi-omics models predict treatment response and overall survival for non-small cell lung cancer patients following chemo-radiotherapy: A multi-center study
Yuteng Pan, Liting Shi, Yuan Liu, et al.
Research Square (Research Square) (2024)
Open Access
Yuteng Pan, Liting Shi, Yuan Liu, et al.
Research Square (Research Square) (2024)
Open Access
Multi-Omics Models Predict Prognosis for Non-Small Cell Lung Cancer Patients Followed Chemotherapy and Radiotherapy: A Multi-Center Study
Yuteng Pan, Liting Shi, Yuan Liu, et al.
(2024)
Closed Access
Yuteng Pan, Liting Shi, Yuan Liu, et al.
(2024)
Closed Access
Dosiomics in the analysis of medical images and prospects for its use in clinical practice
V. А. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, et al.
Digital Diagnostics (2023) Vol. 4, Iss. 3, pp. 340-355
Open Access | Times Cited: 1
V. А. Solodkiy, Nikolay V. Nudnov, Mikhail E. Ivannikov, et al.
Digital Diagnostics (2023) Vol. 4, Iss. 3, pp. 340-355
Open Access | Times Cited: 1
