9 citations · 10 across the 4 of their papers we have counts for
4 papers
SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images
Xueshen Li, Hongshan Liu, Xiaoyu Song +3
There is a significant need for the generation of virtual histological information from coronary optical coherence tomography (OCT) images to better guide the treatment of coronary…
Structural constrained virtual histology staining for human coronary imaging using deep learning
Xueshen Li, Hongshan Liu, Xiaoyu Song +3
Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD). However, histology requires an invasive and time-consuming process. In this pape…
Towards reliable calcification detection: calibration of uncertainty in coronary optical coherence tomography images
Hongshan Liu, Xueshen Li, Abdul Latif Bamba +4
Optical coherence tomography (OCT) has become increasingly essential in assisting the treatment of coronary artery disease (CAD). Image-guided solutions such as Percutaneous Corona…
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning
Xueshen Li, Shengting Cao, Hongshan Liu +6
Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal…