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:
Prediction of survival outcome based on clinical features and pretreatment 18FDG-PET/CT for HNSCC patients
Sayantani Ghosh, Shaurav Maulik, Sanjoy Chatterjee, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105669-105669
Closed Access | Times Cited: 12
Sayantani Ghosh, Shaurav Maulik, Sanjoy Chatterjee, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105669-105669
Closed Access | Times Cited: 12
Showing 12 citing articles:
A Systematic Review of PET Textural Analysis and Radiomics in Cancer
Manuel Piñeiro-Fiel, Alexis Moscoso, Virginia Pubul, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 380-380
Open Access | Times Cited: 47
Manuel Piñeiro-Fiel, Alexis Moscoso, Virginia Pubul, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 380-380
Open Access | Times Cited: 47
Survival prediction of heart failure patients using motion-based analysis method
Saidi Guo, Heye Zhang, Yifeng Gao, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107547-107547
Closed Access | Times Cited: 19
Saidi Guo, Heye Zhang, Yifeng Gao, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107547-107547
Closed Access | Times Cited: 19
A systematic review and meta‐analysis of predictive and prognostic models for outcome prediction using positron emission tomography radiomics in head and neck squamous cell carcinoma patients
Mahima Merin Philip, A. Welch, Fergus McKiddie, et al.
Cancer Medicine (2023) Vol. 12, Iss. 15, pp. 16181-16194
Open Access | Times Cited: 12
Mahima Merin Philip, A. Welch, Fergus McKiddie, et al.
Cancer Medicine (2023) Vol. 12, Iss. 15, pp. 16181-16194
Open Access | Times Cited: 12
An accurate and trustworthy deep learning approach for bladder tumor segmentation with uncertainty estimation
Jie Xu, Haixin Wang, Min Lü, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108645-108645
Closed Access
Jie Xu, Haixin Wang, Min Lü, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108645-108645
Closed Access
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106750-106750
Open Access | Times Cited: 16
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106750-106750
Open Access | Times Cited: 16
Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers
David Morland, Elizabeth Katherine Anna Triumbari, Luca Boldrini, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1329-1329
Open Access | Times Cited: 14
David Morland, Elizabeth Katherine Anna Triumbari, Luca Boldrini, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1329-1329
Open Access | Times Cited: 14
Forecasting of Carbon Emission in China Based on Gradient Boosting Decision Tree Optimized by Modified Whale Optimization Algorithm
Xiwen Cui, E Shaojun, Dongxiao Niu, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12302-12302
Open Access | Times Cited: 19
Xiwen Cui, E Shaojun, Dongxiao Niu, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12302-12302
Open Access | Times Cited: 19
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 8
Prognostic value of initial [18F]FDG PET/computed tomography volumetric and texture analysis-based parameters in patients with head and neck squamous cell carcinoma
Mai Amr Elahmadawy, Aya Ashraf, Hosna Moustafa, et al.
Nuclear Medicine Communications (2023) Vol. 44, Iss. 7, pp. 653-662
Closed Access | Times Cited: 1
Mai Amr Elahmadawy, Aya Ashraf, Hosna Moustafa, et al.
Nuclear Medicine Communications (2023) Vol. 44, Iss. 7, pp. 653-662
Closed Access | Times Cited: 1
Predicting the radiotherapeutic treatment response of non-small cell lung cancer
Soumyajit Das, Rohit Sasidharan, Sudipta Ghosh, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100065-100065
Open Access | Times Cited: 1
Soumyajit Das, Rohit Sasidharan, Sudipta Ghosh, et al.
Computer Methods and Programs in Biomedicine Update (2022) Vol. 2, pp. 100065-100065
Open Access | Times Cited: 1
Classification of combined hepatocellular and cholangiocarcinoma and hepatocellular carcinoma using contrast-enhanced CT based radiomics and machine-learning methods
Shiqi Nong, Tao Zhang, Tingyue Zhang, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Shiqi Nong, Tao Zhang, Tingyue Zhang, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107934-107934
Open Access
Anna Jenul, Henning Langen Stokmo, Stefan Schrunner, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107934-107934
Open Access
