79 citations · 341 across the 40 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CV2019★ 15 cited
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube
Xinrui Zhuang, Yuexiang Li, Yifan Hu +3
Witnessed the development of deep learning, increasing number of studies try to build computer aided diagnosis systems for 3D volumetric medical data. However, as the annotations o…
eess.IV2019★ 2 cited
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images
Yu Chen, Jiawei Chen, Dong Wei +2
Deep learning models, such as the fully convolutional network (FCN), have been widely used in 3D biomedical segmentation and achieved state-of-the-art performance. Multiple modalit…