activity
20202022
most citedDeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation

5 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar

Yanyan Huang, Yong Wang, Kun Shi +4

Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach is to recognize human gait from RGB images, owing to the progress of c…

cs.CV20224 cited

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

Yu Fu, Yanyan Huang, Yalin Wang +6

Chronological age of healthy brain is able to be predicted using deep neural networks from T1-weighted magnetic resonance images (T1 MRIs), and the predicted brain age could serve…

q-bio.NC2022

Activate index: an integrated index to reveal disrupted brain network organizations of major depressive disorder patients

Yu Fu, Yanyan Huang, Meng Niu +5

Altered functional brain networks have been a typical manifestation that distinguishes major depressive disorder (MDD) patients from healthy control (HC) subjects in functional mag…

eess.IV2022

A resource-efficient deep learning framework for low-dose brain PET image reconstruction and analysis

Yu Fu, Shunjie Dong, Yi Liao +7

18F-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography (PET) imaging usually needs a full-dose radioactive tracer to obtain satisfactory diagnostic results, which raises con…

eess.IV20211 cited

RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection

Shunjie Dong, Qianqian Yang, Yu Fu +2

The novel 2019 Coronavirus (COVID-19) infection has spread world widely and is currently a major healthcare challenge around the world. Chest Computed Tomography (CT) and X-ray ima…

eess.IV20205 cited

DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation

Shunjie Dong, Jinlong Zhao, Maojun Zhang +5

Automatic segmentation of cardiac magnetic resonance imaging (MRI) facilitates efficient and accurate volume measurement in clinical applications. However, due to anisotropic resol…