29 citations · 31 across the 4 of their papers we have counts for
4 papers
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…
Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?
Liu Feihong, Yang Junwei, He Xiaowei +3
Being complex-valued and low in signal-to-noise ratios, magnitude-based diffusion MRI is confounded by the noise-floor that falsely elevates signal magnitude and incurs bias to the…
Multi-Kernel Filtering for Nonstationary Noise: An Extension of Bilateral Filtering Using Image Context
Feihong Liu, Jun Feng, Pew-Thian Yap +1
Bilateral filtering (BF) is one of the most classical denoising filters, however, the manually initialized filtering kernel hampers its adaptivity across images with various charac…
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…