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eess.IV2023★ 1 cited
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…
eess.IV2022
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…
eess.IV2021
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution
Zhenxing Dong, Hong Cao, Wang Shen +4
Current learning-based single image super-resolution (SISR) algorithms underperform on real data due to the deviation in the assumed degrada-tion process from that in the real-worl…