57 citations · 69 across the 5 of their papers we have counts for
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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…
Cardiac Adipose Tissue Segmentation via Image-Level Annotations
Ziyi Huang, Yu Gan, Theresa Lye +5
Automatically identifying the structural substrates underlying cardiac abnormalities can potentially provide real-time guidance for interventional procedures. With the knowledge of…
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…
Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images
Jiaxuan Li, Peiyao Jin, Jianfeng Zhu +8
An accurate and automated tissue segmentation algorithm for retinal optical coherence tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the presence…
Beyond Fourier transform: super-resolving optical coherence tomography
Yuye Ling, Mengyuan Wang, Yu Gan +4
Optical coherence tomography (OCT) is a volumetric imaging modality that empowers clinicians and scientists to noninvasively visualize the cross-sections of biological samples. As…