864 citations · 870 across the 4 of their papers we have counts for
4 papers
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang, Ming Li, Nir Ben-Shlomo +4
Deep learning based medical image segmentation models usually require large datasets with high-quality dense segmentations to train, which are very time-consuming and expensive to…
Are Registration Uncertainty and Error Monotonically Associated
Jie Luo, Sarah Frisken, Duo Wang +3
In image-guided neurosurgery, current commercial systems usually provide only rigid registration, partly because it is harder to predict, validate and understand non-rigid registra…
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning
Duo Wang, Yu Cheng, Mo Yu +2
Few-shot learning aims to learn classifiers for new classes with only a few training examples per class. Most existing few-shot learning approaches belong to either metric-based me…
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng, Duo Wang, Pan Zhou +1
Deep neural networks (DNNs) have recently achieved great success in many visual recognition tasks. However, existing deep neural network models are computationally expensive and me…