29 citations · 39 across the 6 of their papers we have counts for
4 papers · 1 filter
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation
Yuxin Kang, Hansheng Li, Xuan Zhao +5
While achieving remarkable success for medical image segmentation, deep convolution neural networks (DCNNs) often fail to maintain their robustness when confronting test data with…
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI
Junwei Yang, Xiao-Xin Li, Feihong Liu +4
Recent studies on T1-assisted MRI reconstruction for under-sampled images of other modalities have demonstrated the potential of further accelerating MRI acquisition of other modal…
Preserving Dense Features for Ki67 Nuclei Detection
Seyed Hossein Mirjahanmardi, Melanie Dawe, Anthony Fyles +4
Nuclei detection is a key task in Ki67 proliferation index estimation in breast cancer images. Deep learning algorithms have shown strong potential in nuclei detection tasks. Howev…
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks
Feihong Liu, Jun Feng, Geng Chen +4
Parcellation of whole-brain tractography streamlines is an important step for tract-based analysis of brain white matter microstructure. Existing fiber parcellation approaches rely…