Výsledky vyhledávání - "Brott, Brigitta"

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

Autor: Li, Xueshen, Liu, Hongshan, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., Gan, Yu

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. However, existing methods either require a large pixe

Externí odkaz: http://arxiv.org/abs/2307.12138

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

Autor: Li, Xueshen, Liu, Hongshan, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., Gan, Yu

Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD). However, histology requires an invasive and time-consuming process. In this paper, we propose to generate virtual histology staining using Optical Coh

Externí odkaz: http://arxiv.org/abs/2211.06737

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

Autor: Liu, Hongshan, Li, Xueshen, Bamba, Abdul Latif, Song, Xiaoyu, Brott, Brigitta C., Litovsky, Silvio H., Gan, Yu

Optical coherence tomography (OCT) has become increasingly essential in assisting the treatment of coronary artery disease (CAD). Image-guided solutions such as Percutaneous Coronary Intervention (PCI) are extensively used during the treatment of CAD

Externí odkaz: http://arxiv.org/abs/2211.06728

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

Autor: Li, Xueshen, Cao, Shengting, Liu, Hongshan, Yao, Xinwen, Brott, Brigitta C., Litovsky, Silvio H., Song, Xiaoyu, Ling, Yuye, Gan, Yu

Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal imagining system for the diagnosis and treatment of CAD. Constrained b

Externí odkaz: http://arxiv.org/abs/2204.11769

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