Alexandra Petukhova-Greenstein

Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof-of-Concept Study

Simon Iseke, Tal Zeevi, Ahmet S. Kücükkaya et al. · American Journal of Roentgenology · 2022 · 27 citations · Full text

Medicine, Computer Science, Oncology +17

Comparison of metabolic and immunologic responses to transarterial chemoembolization with different chemoembolic regimens in a rabbit VX2 liver tumor model

Luzie A. Doemel, Jessica Gois Santana, Lynn Jeanette Savic et al. · European Radiology · 2021 · 23 citations · Full text

Medicine, Pharmacokinetics, Pharmacology +17

Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning

Ahmet S. Kücükkaya, Tal Zeevi, Nathan Chai et al. · Scientific Reports · 2023 · 23 citations · Full text

Computing, Computer Science, Oncology +17

MR Imaging Biomarkers for the Prediction of Outcome after Radiofrequency Ablation of Hepatocellular Carcinoma: Qualitative and Quantitative Assessments of the Liver Imaging Reporting and Data System and Radiomic Features

Alexandra Petukhova-Greenstein, Tal Zeevi, Junlin Yang et al. · Journal of Vascular and Interventional Radiology · 2022 · 14 citations · Full text

Medicine, Oncology, Radiology +17

Changes of radiological examination volumes over the course of the COVID-19 pandemic: a comprehensive analysis of the different waves of infection

Florian Nima Fleckenstein, Tazio Maleitzke, Georg Böning et al. · Insights into Imaging · 2022 · 12 citations · Full text

Medicine, Radiology, Clinical Epidemiology +4