SCPAT-GAN: Structural Constrained and Pathology Aware Convolutional Transformer-GAN for Virtual Histology Staining of Human Coronary OCT images

no code implementations • 22 Jul 2023 • Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan

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 artery disease.

Generative Adversarial Network

Towards reliable calcification detection: calibration of uncertainty in coronary optical coherence tomography images

no code implementations • 12 Nov 2022 • Hongshan Liu, Xueshen Li, Abdul Latif Bamba, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan

With the calibrated confidence score of each prediction, we lower the uncertainty of predictions in calcification detection.

Object object-detection +1

Structural constrained virtual histology staining for human coronary imaging using deep learning

no code implementations • 12 Nov 2022 • Xueshen Li, Hongshan Liu, Xiaoyu Song, Brigitta C. Brott, Silvio H. Litovsky, Yu Gan

Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD).

Image Generation

Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning

no code implementations • 25 Apr 2022 • Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan

There is a trade-off between high spatial resolution and fast scanning rate for coronary imaging.

Image Reconstruction