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:
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
Sumeet Hindocha, Thomas Charlton, Kristofer Linton‐Reid, et al.
npj Precision Oncology (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 10
Sumeet Hindocha, Thomas Charlton, Kristofer Linton‐Reid, et al.
npj Precision Oncology (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 10
Showing 10 citing articles:
Radiomics for clinical decision support in radiation oncology
Luca Russo, Diepriye Charles-Davies, Silvia Bottazzi, et al.
Clinical Oncology (2024) Vol. 36, Iss. 8, pp. e269-e281
Open Access | Times Cited: 6
Luca Russo, Diepriye Charles-Davies, Silvia Bottazzi, et al.
Clinical Oncology (2024) Vol. 36, Iss. 8, pp. e269-e281
Open Access | Times Cited: 6
Machine learning based radiomic models outperform clinical biomarkers in predicting outcomes after immunotherapy for hepatocellular carcinoma
Mathew Vithayathil, Deniz Koku, Claudia Campani, et al.
Journal of Hepatology (2025)
Closed Access
Mathew Vithayathil, Deniz Koku, Claudia Campani, et al.
Journal of Hepatology (2025)
Closed Access
Validated machine learning tools to distinguish immune checkpoint inhibitor, radiotherapy, COVID-19 and other infective pneumonitis
Sumeet Hindocha, Benjamin Hunter, Kristofer Linton‐Reid, et al.
Radiotherapy and Oncology (2024) Vol. 195, pp. 110266-110266
Open Access | Times Cited: 3
Sumeet Hindocha, Benjamin Hunter, Kristofer Linton‐Reid, et al.
Radiotherapy and Oncology (2024) Vol. 195, pp. 110266-110266
Open Access | Times Cited: 3
Wavelet scattering networks in deep learning for discovering protein markers in a cohort of Swedish rectal cancer patients
Tuan D. Pham, Xiao‐Feng Sun
Cancer Medicine (2023) Vol. 12, Iss. 23, pp. 21502-21518
Open Access | Times Cited: 8
Tuan D. Pham, Xiao‐Feng Sun
Cancer Medicine (2023) Vol. 12, Iss. 23, pp. 21502-21518
Open Access | Times Cited: 8
Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis
Marc Boubnovski Martell, Kristofer Linton‐Reid, Sumeet Hindocha, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Marc Boubnovski Martell, Kristofer Linton‐Reid, Sumeet Hindocha, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Improved prognostication of overall survival after radiotherapy in lung cancer patients by an interpretable machine learning model integrating lung and tumor radiomics and clinical parameters
Tianchen Luo, Yan Meng, Meng Zhou, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 1
Tianchen Luo, Yan Meng, Meng Zhou, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 1
Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell lung cancer
Jiajun Wang, Gang Dai, Xiufang Ren, et al.
iRadiology (2024) Vol. 2, Iss. 1, pp. 3-16
Open Access
Jiajun Wang, Gang Dai, Xiufang Ren, et al.
iRadiology (2024) Vol. 2, Iss. 1, pp. 3-16
Open Access
Radiogenomics models for predicting prognosis in locally advanced non-small cell lung cancer patients undergoing definitive chemoradiotherapy
Xiaoyu Song, Li Li, Qingxi Yu, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 8, pp. 1828-1840
Open Access
Xiaoyu Song, Li Li, Qingxi Yu, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 8, pp. 1828-1840
Open Access
Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer
Yang Ai, Xiuju Du, Jing Liu, et al.
(2024), pp. 1-4
Closed Access
Yang Ai, Xiuju Du, Jing Liu, et al.
(2024), pp. 1-4
Closed Access
A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC
Yang Ai, Yinhao Li, Rahul Kumar Jain, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2023), pp. 833-837
Closed Access | Times Cited: 1
Yang Ai, Yinhao Li, Rahul Kumar Jain, et al.
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2023), pp. 833-837
Closed Access | Times Cited: 1
