MingDe Lin

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

Image Guidance for Endovascular Repair of Complex Aortic Aneurysms: Comparison of Two-dimensional and Three-dimensional Angiography and Image Fusion

Vania Tacher, MingDe Lin, Pascal Desgranges et al. · Journal of Vascular and Interventional Radiology · 2013 · 155 citations · Full text

Vascular Image, Three-dimensional Angiography, 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

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Junlin Yang, Nicha C. Dvornek, Fan Zhang et al. · Lecture notes in computer science · 2019 · 130 citations · Full text

Image Analysis, Machine Learning, Medical Imaging +11