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

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

collaborators

5 papers

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…