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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.

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Showing 1-25 of 38 citing articles:

Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 16
A novel sub-regional radiomics model to predict immunotherapy response in non-small cell lung carcinoma
Jie Peng, Dan Zou, Xudong Zhang, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics
Burak Koçak
Diagnostic and Interventional Radiology (2022) Vol. 28, Iss. 5, pp. 450-462
Open Access | Times Cited: 33
Contrast-Enhanced CT Imaging Features Combined with Clinical Factors to Predict the Efficacy and Prognosis for Transarterial Chemoembolization of Hepatocellular Carcinoma
Zhongqi Sun, Zhongxing Shi, Yanjie Xin, et al.
Academic Radiology (2023) Vol. 30, pp. S81-S91
Open Access | Times Cited: 19
Using Machine Learning to Predict Response to Image-guided Therapies for Hepatocellular Carcinoma
Celina Hsieh, Amanda Laguna, Ian Ikeda, et al.
Radiology (2023) Vol. 309, Iss. 2
Closed Access | Times Cited: 17
Application of Radiomics in the Efficacy Evaluation of Transarterial Chemoembolization for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
Yingxuan Wang, Min� Li, Zhe Zhang, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 273-285
Closed Access | Times Cited: 16
Prediction of treatment response and outcome of transarterial chemoembolization in patients with hepatocellular carcinoma using artificial intelligence: A systematic review of efficacy
Pedram Keshavarz, Nariman Nezami, Fereshteh Yazdanpanah, et al.
European Journal of Radiology (2025), pp. 111948-111948
Open Access
Advances in the Application of Deep Learning in Hepatocellular Carcinoma
萧萧 刘
Advances in Clinical Medicine (2025) Vol. 15, Iss. 04, pp. 850-856
Closed Access
Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview
Pak Kin Wong, In Neng Chan, H. J. Yan, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 45, pp. 6363-6379
Open Access | Times Cited: 18
Radiomics as a tool for prognostic prediction in transarterial chemoembolization for hepatocellular carcinoma: a systematic review and meta-analysis
Kaige Deng, Tong Chen, Zijian Leng, et al.
La radiologia medica (2024) Vol. 129, Iss. 8, pp. 1099-1117
Open Access | Times Cited: 3
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma
Jingwei Wei, Hanyu Jiang, Yu Zhou, et al.
Digestive and Liver Disease (2023) Vol. 55, Iss. 7, pp. 833-847
Closed Access | Times Cited: 9
Radiomics features of computed tomography and magnetic resonance imaging for predicting response to transarterial chemoembolization in hepatocellular carcinoma: a meta-analysis
Lijuan Feng, Qianjuan Chen, Linjie Huang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases
Hui Qu, Huan Zhai, Shuairan Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7
Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade
Jie Peng, Jing Zhang, Dan Zou, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 11
Deep learning of pretreatment multiphase CT images for predicting response to lenvatinib and immune checkpoint inhibitors in unresectable hepatocellular carcinoma
Nan-Qing Liao, Zhu‐Jian Deng, Wei Wei, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 247-257
Open Access | Times Cited: 2
Deep Learning Based on Computed Tomography Predicts Response to Chemoimmunotherapy in Lung Squamous Cell Carcinoma
Jie Peng, Baowen Xie, Honglian Ma, et al.
Aging and Disease (2024)
Open Access | Times Cited: 2
Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization
Mishal Mendiratta‐Lala, Anum Aslam, Harrison X. Bai, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 3284-3297
Open Access | Times Cited: 5
Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors
Liuji Sheng, Chongtu Yang, Yidi Chen, et al.
Biomedicines (2023) Vol. 12, Iss. 1, pp. 58-58
Open Access | Times Cited: 5
The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review
Shuaitong Zhang, Wei Mu, Di Dong, et al.
Health Data Science (2022) Vol. 3
Open Access | Times Cited: 8
Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients
Helen Zhang, Yang Li, Amanda Laguna, et al.
Meta-Radiology (2024) Vol. 2, Iss. 1, pp. 100067-100067
Open Access | Times Cited: 1
A study predicting long-term survival capacity in postoperative advanced gastric cancer patients based on MAOA and subcutaneous muscle fat characteristics
Yubo Han, Yaoyuan Chang, Jiaqi Wang, et al.
World Journal of Surgical Oncology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Sub-regional CT Radiomics for the Prediction of Ki-67 Proliferation Index in Gastrointestinal Stromal Tumors: A Multi-center Study
Wemin Cai, Kun Guo, Yongxian Chen, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 4974-4984
Closed Access | Times Cited: 1
Advancements in Artificial Intelligence-Enhanced Imaging Diagnostics for the Management of Liver Disease—Applications and Challenges in Personalized Care
Naoshi Nishida
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1243-1243
Open Access | Times Cited: 1
Immune-related gene signature to predict TACE refractoriness in patients with hepatocellular carcinoma based on artificial neural network
Qingyu Xu, Chendong Wang, Guowen Yin
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 3
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