Michael Wels

A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI