Charlie Alexander Hamm

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

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

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI

Charlie Alexander Hamm, Georg Lukas Baumgärtner, Nick Lasse Beetz et al. · Radiology · 2023 · 93 citations

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

Paula M. Oestmann, Clinton J. Wang, Lynn Jeanette Savic et al. · European Radiology · 2021 · 74 citations · Full text

Hepatology, Medical Imaging, Typical Hepatocellular Carcinoma +10

Molecular Imaging of Extracellular Tumor pH to Reveal Effects of Locoregional Therapy on Liver Cancer Microenvironment

Lynn Jeanette Savic, Isabel Schobert, Dana C. Peters et al. · Clinical Cancer Research · 2019 · 58 citations · Full text