15 citations
- BiocomUS3 papers
- Jiangsu Province HospitalCN3 papers
- Michigan Technological UniversityUS3 papers
- Nanjing Medical UniversityCN3 papers
- Rush University Medical CenterUS3 papers
- Central South UniversityCN1 paper
- Nantong UniversityCN1 paper
- Second People's Hospital of NanTongCN1 paper
- Xiangya Hospital Central South UniversityCN1 paper
- Xi’an University of Posts and TelecommunicationsCN1 paper
- Zhengzhou University of Light IndustryCN1 paper
3 papers
eess.IV2022★ 10 cited
Automatic reorientation by deep learning to generate short axis SPECT myocardial perfusion images
Fubao Zhu, Guojie Wang, Chen Zhao +6
Single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar maps for interpre…
eess.IV2021★ 8 cited
Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images
Chen Zhao, Shi Shi, Zhuo He +5
Background. Functional assessment of right ventricle (RV) using gated myocardial perfusion single-photon emission computed tomography (MPS) heavily relies on the precise extraction…
physics.med-ph2021★ 15 cited
A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
Zhuo He, Xinwei Zhang, Chen Zhao +5
Background. Studies have shown that the conventional left ventricular mechanical dyssynchrony (LVMD) parameters have their own statistical limitations. The purpose of this study is…