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:
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
Celina Hsieh, Amanda Laguna, Ian Ikeda, et al.
Radiology (2023) Vol. 309, Iss. 2
Closed Access | Times Cited: 17
Showing 17 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
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 16
Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation
Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, et al.
Jurnal Online Informatika (2024) Vol. 9, Iss. 1, pp. 70-79
Open Access | Times Cited: 5
Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, et al.
Jurnal Online Informatika (2024) Vol. 9, Iss. 1, pp. 70-79
Open Access | Times Cited: 5
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
Yusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 5
Yusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 5
All You Need to Know About TACE: A Comprehensive Review of Indications, Techniques, Efficacy, Limits, and Technical Advancement
Carolina Lanza, Velio Ascenti, Gaetano Amato, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 314-314
Open Access
Carolina Lanza, Velio Ascenti, Gaetano Amato, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 314-314
Open Access
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
Pedram Keshavarz, Nariman Nezami, Fereshteh Yazdanpanah, et al.
European Journal of Radiology (2025), pp. 111948-111948
Open Access
Percutaneous Image-Guided Ablation of Renal Cancer: Traditional and Emerging Indications, Energy Sources, Techniques, and Future Developments
Vinson Wai‐Shun Chan, Helen Ng, Khalil Abdulrauf, et al.
Medicina (2025) Vol. 61, Iss. 3, pp. 438-438
Open Access
Vinson Wai‐Shun Chan, Helen Ng, Khalil Abdulrauf, et al.
Medicina (2025) Vol. 61, Iss. 3, pp. 438-438
Open Access
Global trends in artificial intelligence applications in liver disease over seventeen years
Xueqin Zhou, Shu Huang, Xin Shi, et al.
World Journal of Hepatology (2025) Vol. 17, Iss. 3
Closed Access
Xueqin Zhou, Shu Huang, Xin Shi, et al.
World Journal of Hepatology (2025) Vol. 17, Iss. 3
Closed Access
Machine learning for prognostic impact in elderly unresectable hepatocellular carcinoma undergoing radiotherapy
Yuxin Shi, Xian‐Guo Liu
Frontiers in Oncology (2025) Vol. 15
Open Access
Yuxin Shi, Xian‐Guo Liu
Frontiers in Oncology (2025) Vol. 15
Open Access
Future AI Will Most Likely Predict Antibody-Drug Conjugate Response in Oncology: A Review and Expert Opinion
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3089-3089
Open Access | Times Cited: 3
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3089-3089
Open Access | Times Cited: 3
Future AI Will Be Able to Predict Antibody-Drug Conjugate Response in Oncology
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
(2024)
Open Access | Times Cited: 2
Navid Sobhani, Alberto D’Angelo, Matteo Pittacolo, et al.
(2024)
Open Access | Times Cited: 2
Role of peritumoral tissue analysis in predicting characteristics of hepatocellular carcinoma using ultrasound-based radiomics
Hongwei Qian, Yanhua Huang, Luohang Xu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Hongwei Qian, Yanhua Huang, Luohang Xu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
The Evolution of AI in Predicting Response to Minimally Invasive Image-guided Therapies
Nariman Nezami, Mohammad Mirza‐Aghazadeh‐Attari
Radiology Imaging Cancer (2024) Vol. 6, Iss. 1
Open Access
Nariman Nezami, Mohammad Mirza‐Aghazadeh‐Attari
Radiology Imaging Cancer (2024) Vol. 6, Iss. 1
Open Access
Research Progress in Predicting Hepatocellular Carcinoma with Portal Vein Tumour Thrombus in the Era of Artificial Intelligence
Yaduo Li, Ningning Fan, Xu He, et al.
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 1429-1438
Open Access
Yaduo Li, Ningning Fan, Xu He, et al.
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 1429-1438
Open Access
Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma
Ling-Zhi Tang, Haibo Shao, Jinzhu Yang, et al.
Lecture notes in computer science (2024), pp. 178-193
Closed Access
Ling-Zhi Tang, Haibo Shao, Jinzhu Yang, et al.
Lecture notes in computer science (2024), pp. 178-193
Closed Access
Dynamic changes of radiological and radiomics patterns based on MRI in viable hepatocellular carcinoma after transarterial chemoembolization
Weilang Wang, Shuhang Zhang, Bin‐Yan Zhong, et al.
Abdominal Radiology (2024)
Closed Access
Weilang Wang, Shuhang Zhang, Bin‐Yan Zhong, et al.
Abdominal Radiology (2024)
Closed Access
Classification of Liver Lesion Stages using pyRadiomics Features Combined with 3D-CNN in 3D-CT and US Images
A. Bathsheba Parimala, R. Shanmugasundaram
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 41, pp. 4296-4306
Open Access
A. Bathsheba Parimala, R. Shanmugasundaram
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 41, pp. 4296-4306
Open Access
Hepatocellular carcinoma recognition from ultrasound images with pixelated disparity based deep CNN based fire hawk optimizer
S. Usha, V. J. Arulkarthick, K. Srihari, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107401-107401
Closed Access
S. Usha, V. J. Arulkarthick, K. Srihari, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107401-107401
Closed Access
