95 citations · 100 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 3 cited
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI
Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware +12
BACKGROUND AND PURPOSE: Deep learning has been demonstrated effective in many neuroimaging applications. However, in many scenarios, the number of imaging sequences capturing infor…
cs.CV2021★ 95 cited
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan +2
Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…
cs.CV2019★ 2 cited
Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation
Yuemeng Li, Hangfan Liu, Hongming Li +1
Automatic segmentation of fine-grained brain structures remains a challenging task. Current segmentation methods mainly utilize 2D and 3D deep neural networks. The 2D networks take…