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:
A multitask deep learning radiomics model for predicting the macrotrabecular-massive subtype and prognosis of hepatocellular carcinoma after hepatic arterial infusion chemotherapy
Xuelei He, Kai Li, Ran Wei, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1508-1520
Open Access | Times Cited: 12
Xuelei He, Kai Li, Ran Wei, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1508-1520
Open Access | Times Cited: 12
Showing 12 citing articles:
An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies
Roberta Fusco, Vincenza Granata, Igino Simonetti, et al.
Current Oncology (2024) Vol. 31, Iss. 1, pp. 403-424
Open Access | Times Cited: 9
Roberta Fusco, Vincenza Granata, Igino Simonetti, et al.
Current Oncology (2024) Vol. 31, Iss. 1, pp. 403-424
Open Access | Times Cited: 9
Diagnostic accuracy of preoperative MRI in assessing macrotrabecular-massive subtype of hepatocellular carcinoma: a systematic review and meta-analysis
Tingwen Zhou, Xiaorui Han, Chuyin Xiao, et al.
European Radiology (2025)
Closed Access
Tingwen Zhou, Xiaorui Han, Chuyin Xiao, et al.
European Radiology (2025)
Closed Access
Diagnostic Values of Magnetic Resonance Imaging and Computed Tomography for Predicting Macrotrabecular-Massive Hepatocellular Carcinoma Subtype: A Meta-analysis
Tian Chai, Yao Tong, Ying Yu, et al.
Academic Radiology (2025)
Closed Access
Tian Chai, Yao Tong, Ying Yu, et al.
Academic Radiology (2025)
Closed Access
Evaluation of a novel ensemble model for preoperative ovarian cancer diagnosis: Clinical factors, O-RADS, and deep learning radiomics
Yimin Wu, Lifang Fan, Haixin Shao, et al.
Translational Oncology (2025) Vol. 54, pp. 102335-102335
Closed Access
Yimin Wu, Lifang Fan, Haixin Shao, et al.
Translational Oncology (2025) Vol. 54, pp. 102335-102335
Closed Access
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Development and Preliminary Validation of a Novel Convolutional Neural Network Model for Predicting Treatment Response in Patients with Unresectable Hepatocellular Carcinoma Receiving Hepatic Arterial Infusion Chemotherapy
Bing Quan, Jinghuan Li, Hailin Mi, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
Bing Quan, Jinghuan Li, Hailin Mi, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
A preoperative radiogenomic model based on quantitative heterogeneity for predicting outcomes in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy
Jiayin Zhou, Yansong Bai, Ying Zhang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Jiayin Zhou, Yansong Bai, Ying Zhang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy
Yujia Xia, Jie Zhou, Xiaolei Xun, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Yujia Xia, Jie Zhou, Xiaolei Xun, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics
Piero Trovato, Igino Simonetti, Alessio Morrone, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 547-547
Open Access
Piero Trovato, Igino Simonetti, Alessio Morrone, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 547-547
Open Access
Identification of macrotrabecular‐massive hepatocellular carcinoma through multiphasic CT‐based representation learning method
Zhenyang Zhang, Wanli Zhang, Chutong He, et al.
Medical Physics (2024) Vol. 51, Iss. 12, pp. 9017-9030
Closed Access
Zhenyang Zhang, Wanli Zhang, Chutong He, et al.
Medical Physics (2024) Vol. 51, Iss. 12, pp. 9017-9030
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
Deciphering the Prognostic and Therapeutic Value of a Gene Model Associated with Two Aggressive Hepatocellular Carcinoma Phenotypes Using Machine Learning
Junhan Pan, Cong Zhang, Huizhen Huang, et al.
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 2373-2390
Open Access
Junhan Pan, Cong Zhang, Huizhen Huang, et al.
Journal of Hepatocellular Carcinoma (2024) Vol. Volume 11, pp. 2373-2390
Open Access
