Lynn Jeanette Savic

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

Charlie Alexander Hamm, Clinton J. Wang, Lynn Jeanette Savic et al. · European Radiology · 2019 · 330 citations · Full text

Engineering, Machine Learning, Medical Imaging +11

Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept

Aaron Abajian, Nikitha Murali, Lynn Jeanette Savic et al. · Journal of Vascular and Interventional Radiology · 2018 · 167 citations

Biomedical Artificial Intelligence, Artificial Intelligence, Engineering +10

Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

Clinton J. Wang, Charlie Alexander Hamm, Lynn Jeanette Savic et al. · European Radiology · 2019 · 145 citations · Full text

Convolutional Neural Network, Engineering, Hepatology +14

Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE

Isabel Schobert, Lynn Jeanette Savic, Julius Chapiro et al. · European Radiology · 2020 · 115 citations

Tumor Response, Hepatology, Hepatocellular Carcinoma +8

Radiologic-Pathologic Analysis of Contrast-enhanced and Diffusion-weighted MR Imaging in Patients with HCC after TACE: Diagnostic Accuracy of 3D Quantitative Image Analysis

Julius Chapiro, Laura D. Wood, MingDe Lin et al. · Radiology · 2014 · 107 citations · Full text