Artificial intelligence in interventional radiology: state of the art
P Glielmo, S Fusco, S Gitto, G Zantonelli… - European Radiology …, 2024 - Springer
Artificial intelligence (AI) has demonstrated great potential in a wide variety of applications in
interventional radiology (IR). Support for decision-making and outcome prediction, new …
interventional radiology (IR). Support for decision-making and outcome prediction, new …
Artificial intelligence in assessment of hepatocellular carcinoma treatment response
Artificial Intelligence (AI) continues to shape the practice of radiology, with imaging of
hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of …
hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of …
MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients …
Y Kuang, R Li, P Jia, W Ye, R Zhou, R Zhu, J Wang… - Abdominal …, 2021 - Springer
Purpose To construct MRI radiomics nomograms that can predict short-term response after
TACE in HCC patients with diameter less than 5 cm. Methods MRI images and clinical data …
TACE in HCC patients with diameter less than 5 cm. Methods MRI images and clinical data …
Identification of BRD7 by whole-exome sequencing as a predictor for intermediate-stage hepatocellular carcinoma in patients undergoing TACE
K Huang, Y Wu, W Fan, Y Zhao, M Xue, H Liu… - Journal of Cancer …, 2023 - Springer
Objective In the present study, we aimed to identify potential predictors of intermediate-stage
hepatocellular carcinoma (HCC) using whole-exome sequencing (WES) in patients …
hepatocellular carcinoma (HCC) using whole-exome sequencing (WES) in patients …
Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets
P Woznicki, FC Laqua, A Al-Haj, T Bley, B Baeßler - Insights into Imaging, 2023 - Springer
Objectives Open-access cancer imaging datasets have become integral for evaluating novel
AI approaches in radiology. However, their use in quantitative analysis with radiomics …
AI approaches in radiology. However, their use in quantitative analysis with radiomics …