Julius Chapiro

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

Consensus Guidelines for the Definition of Time-to-Event End Points in Image-guided Tumor Ablation: Results of the SIO and DATECAN Initiative

Robbert S. Puijk, Muneeb Ahmed, Andreas Adam et al. · Radiology · 2021 · 152 citations · Full text

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

How COVID-19 kick-started online learning in medical education—The DigiMed study

Fabian Stoehr, Lukáš Müller, Adrian P. Brady et al. · PLoS ONE · 2021 · 143 citations · Full text