3.1k citations
- Instituto de Biocomputación y Física de Sistemas Complejos12 papers
- Michigan Technological UniversityUS11 papers
- Indiana University BloomingtonUS10 papers
- University of VirginiaUS10 papers
- Jiangsu Province HospitalCN8 papers
- Nanjing Medical UniversityCN8 papers
- Arizona State UniversityUS6 papers
- Universidad de ZaragozaES6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Universidad Complutense de MadridES5 papers
- Fundacion Agencia Aragonesa para la Investigacion y el DesarrolloES4 papers
- University of MichiganUS4 papers
Showing 2022 · eess.IVShow all
3 papers · 2 filters
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.IV2022★ 8 cited
Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms
Yinghui Meng, Zhenglong Du, Chen Zhao +4
Accurate extraction of coronary arteries from invasive coronary angiography (ICA) is important in clinical decision-making for the diagnosis and risk stratification of coronary art…
eess.IV2022★ 33 cited
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…