5 citations · 11 across the 7 of their papers we have counts for
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SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size
Yu Fu, Yanyan Huang, Shunjie Dong +4
Deep neural networks (DNN) have been designed to predict the chronological age of a healthy brain from T1-weighted magnetic resonance images (T1 MRIs), and the predicted brain age…
RT-DNAS: Real-time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
Qing Lu, Xiaowei Xu, Shunjie Dong +4
Accurately segmenting temporal frames of cine magnetic resonance imaging (MRI) is a crucial step in various real-time MRI guided cardiac interventions. To achieve fast and accurate…
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…
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…
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…