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 · 342 citations · Full text

Medicine, Computer Science, Radiology +17

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 · 172 citations

Computing, Computer Science, Oncology +16

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 · 157 citations

Medicine, Radiology, Surgery +17

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 · 151 citations · Full text

Medicine, Oncology, Radiology +17

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 · 133 citations · Full text

Computing, Biomedical Engineering, Radiology +14