2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 2 cited
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Kehan Qi, Yu Gong, Xinfeng Liu +3
Noises, artifacts, and loss of information caused by the magnetic resonance (MR) reconstruction may compromise the final performance of the downstream applications. In this paper,…
eess.IV2020
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint
Weijian Huang, Hao Yang, Xinfeng Liu +5
Multi-contrast magnetic resonance (MR) image registration is useful in the clinic to achieve fast and accurate imaging-based disease diagnosis and treatment planning. Nevertheless,…
eess.IV2019
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke
Hao Yang, Weijian Huang, Kehan Qi +5
Segmenting stroke lesions from T1-weighted MR images is of great value for large-scale stroke rehabilitation neuroimaging analyses. Nevertheless, there are great challenges with th…