43 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing Medical UniversityCN12 papers
- BiocomUS8 papers
- Michigan Technological UniversityUS8 papers
- Chang Bing Show Chwan Memorial HospitalTW3 papers
- Cook County Health and Hospitals SystemUS3 papers
- Rush University Medical CenterUS3 papers
- Xi’an University of Posts and TelecommunicationsCN2 papers
- Zhengzhou University of Light IndustryCN2 papers
- Bloomberg (United States)US1 paper
- Brown UniversityUS1 paper
- Central South UniversityCN1 paper
- DeepBiome Therapeutics (United States)US1 paper
4 papers · 1 filter
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…
A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images
Fubao Zhu, Jinyu Zhao, Chen Zhao +8
Background: The assessment of left ventricular (LV) function by myocardial perfusion SPECT (MPS) relies on accurate myocardial segmentation. The purpose of this paper is to develop…
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…
GANDA: A deep generative adversarial network predicts the spatial distribution of nanoparticles in tumor pixelly
Jiulou Zhang, Yuxia Tang, Shouju Wang
Intratumoral nanoparticles (NPs) distribution is critical for the success of nanomedicine in imaging and treatment, but computational models to describe the NPs distribution remain…