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:
Tianyi Xia, Ben Y. Zhao, Binrong Li, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 59, Iss. 3, pp. 767-783
Open Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
Machine Learning-Based Assessment of Survival and Risk Factors in Non-Alcoholic Fatty Liver Disease-Related Hepatocellular Carcinoma for Optimized Patient Management
Miguel Suárez, Sergio Gil-Rojas, Pablo Martínez-Blanco, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1114-1114
Open Access | Times Cited: 6
Miguel Suárez, Sergio Gil-Rojas, Pablo Martínez-Blanco, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1114-1114
Open Access | Times Cited: 6
Radiomics and machine learning based on preoperative MRI for predicting extrahepatic metastasis in hepatocellular carcinoma patients treated with transarterial chemoembolization
Gang Peng, Xiaojing Cao, Xiaoyu Huang, et al.
European Journal of Radiology Open (2024) Vol. 12, pp. 100551-100551
Open Access | Times Cited: 5
Gang Peng, Xiaojing Cao, Xiaoyu Huang, et al.
European Journal of Radiology Open (2024) Vol. 12, pp. 100551-100551
Open Access | Times Cited: 5
Diagnostic value of a lactylation-related gene signature in hepatocellular carcinoma
Jiajia Zhang, Chunmei Dong, Lili Wu, et al.
Translational Cancer Research (2025) Vol. 14, Iss. 1, pp. 296-312
Open Access
Jiajia Zhang, Chunmei Dong, Lili Wu, et al.
Translational Cancer Research (2025) Vol. 14, Iss. 1, pp. 296-312
Open Access
Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids
Li Shen, Xiao Huang, Yuyao Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Li Shen, Xiao Huang, Yuyao Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Research progress of MRI-based radiomics in hepatocellular carcinoma
Xiaoyun Xie, Rong Chen
Frontiers in Oncology (2025) Vol. 15
Open Access
Xiaoyun Xie, Rong Chen
Frontiers in Oncology (2025) Vol. 15
Open Access
Deep Learning in Oncology: Transforming Cancer Diagnosis, Prognosis, and Treatment
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Thaís Santos Anjo Reis
Emerging Trends in Drugs Addictions and Health (2025), pp. 100171-100171
Open Access
Enhanced ISUP grade prediction in prostate cancer using multi-center radiomics data
Yuying Liu, Xueqing Han, Haohui Chen, et al.
Abdominal Radiology (2025)
Open Access
Yuying Liu, Xueqing Han, Haohui Chen, et al.
Abdominal Radiology (2025)
Open Access
Nanomedicines Targeting Metabolic Pathways in the Tumor Microenvironment: Future Perspectives and the Role of AI
Shuai Fan, Wenyu Wang, Wieqi Che, et al.
Metabolites (2025) Vol. 15, Iss. 3, pp. 201-201
Open Access
Shuai Fan, Wenyu Wang, Wieqi Che, et al.
Metabolites (2025) Vol. 15, Iss. 3, pp. 201-201
Open Access
Prediction early recurrence of hepatocellular carcinoma after hepatectomy using gadoxetic acid-enhanced MRI and IVIM
Da Guo, Liping Liu, Yu Jin
European Journal of Radiology Open (2025) Vol. 14, pp. 100643-100643
Closed Access
Da Guo, Liping Liu, Yu Jin
European Journal of Radiology Open (2025) Vol. 14, pp. 100643-100643
Closed Access
Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratification
Qiang Wang, Henrik Nilsson, Keyang Xu, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111459-111459
Closed Access | Times Cited: 3
Qiang Wang, Henrik Nilsson, Keyang Xu, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111459-111459
Closed Access | Times Cited: 3
Intertumoral Heterogeneity Based on MRI Radiomic Features Estimates Recurrence in Hepatocellular Carcinoma
Mengshi Dong, Chao Li, Lina Zhang, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 1
Mengshi Dong, Chao Li, Lina Zhang, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 1
Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach
Daniel Stocker, Stefanie J. Hectors, Brett Marinelli, et al.
Abdominal Radiology (2024)
Open Access | Times Cited: 1
Daniel Stocker, Stefanie J. Hectors, Brett Marinelli, et al.
Abdominal Radiology (2024)
Open Access | Times Cited: 1
Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 1
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 1
Editorial for “Intertumoral Heterogeneity Based on MRI Radiomics Features Estimates Recurrence in Hepatocellular Carcinoma”
Binrong Li, Yaoyao Yu, Tianyi Xia
Journal of Magnetic Resonance Imaging (2024) Vol. 61, Iss. 1, pp. 182-183
Closed Access
Binrong Li, Yaoyao Yu, Tianyi Xia
Journal of Magnetic Resonance Imaging (2024) Vol. 61, Iss. 1, pp. 182-183
Closed Access
The Transformative Role of Artificial Intelligence in Advancing Bovine Reproductive Biology
Kubilay Doğan Kılıç, Aylin Gökhan, Türker Çavuşoğlu
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 64-83
Closed Access
Kubilay Doğan Kılıç, Aylin Gökhan, Türker Çavuşoğlu
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 64-83
Closed Access
Deep learning model based on contrast-enhanced ultrasound for predicting vessels encapsulating tumor clusters in hepatocellular carcinoma
Wenxin Xu, Haoyan Zhang, Rui Zhang, et al.
European Radiology (2024)
Closed Access
Wenxin Xu, Haoyan Zhang, Rui Zhang, et al.
European Radiology (2024)
Closed Access
Promising Directions in Radiation Diagnostics of Oncopathology – Potentials of Radiomics in Digital Analysis of Features of Hepatocellular Carcinoma
Yu. A. Stepanova, Kristina Azamovna Babadjanova
Journal of Experimental and Clinical Surgery (2024) Vol. 17, Iss. 3, pp. 127-136
Open Access
Yu. A. Stepanova, Kristina Azamovna Babadjanova
Journal of Experimental and Clinical Surgery (2024) Vol. 17, Iss. 3, pp. 127-136
Open Access
QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions
Can Polat, Hasan Kurban, Mustafa Kurban
Computational Materials Science (2024) Vol. 246, pp. 113366-113366
Closed Access
Can Polat, Hasan Kurban, Mustafa Kurban
Computational Materials Science (2024) Vol. 246, pp. 113366-113366
Closed Access
Research progress on machine algorithm prediction of liver cancer prognosis after intervention therapy
Feng Guo, Hao Hu, Hao Peng, et al.
American Journal of Cancer Research (2024) Vol. 14, Iss. 9, pp. 4580-4596
Closed Access
Feng Guo, Hao Hu, Hao Peng, et al.
American Journal of Cancer Research (2024) Vol. 14, Iss. 9, pp. 4580-4596
Closed Access
Advancing Hepatocellular Carcinoma Management Through Peritumoral Radiomics: Enhancing Diagnosis, Treatment, and Prognosis
Yanhua Huang, Hongwei Qian
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 2159-2168
Open Access
Yanhua Huang, Hongwei Qian
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 2159-2168
Open Access
An AI-driven preoperative radiomic subtype for predicting the prognosis and treatment response of patients with papillary thyroid carcinoma
Qiang Li, Weituo Zhang, Tian Liao, et al.
Clinical Cancer Research (2024) Vol. 31, Iss. 1, pp. 139-150
Closed Access
Qiang Li, Weituo Zhang, Tian Liao, et al.
Clinical Cancer Research (2024) Vol. 31, Iss. 1, pp. 139-150
Closed Access
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Deep learning based on multiparametric MRI predicts early recurrence in hepatocellular carcinoma patients with solitary tumors ≤5 cm
Tingting Mu, Xinde Zheng, Danjun Song, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100610-100610
Closed Access
Tingting Mu, Xinde Zheng, Danjun Song, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100610-100610
Closed Access
A CT-Based Clinical-Radiomics Nomogram for Predicting the Overall Survival to TACE Combined with Camrelizumab and Apatinib in Patients with Advanced Hepatocellular Carcinoma
Guoshan Ding, Kailang Li
Academic Radiology (2024)
Closed Access
Guoshan Ding, Kailang Li
Academic Radiology (2024)
Closed Access
Machine learning to predict radiomics models of classical trigeminal neuralgia response to percutaneous balloon compression treatment
Ji Wu, Chengjian Qin, Yixuan Zhou, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
Ji Wu, Chengjian Qin, Yixuan Zhou, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
