29 citations · 46 across the 9 of their papers we have counts for
4 papers · 1 filter
Automated segmentation of microvessels in intravascular OCT images using deep learning
Juhwan Lee, Justin N. Kim, Lia Gomez-Perez +10
To analyze this characteristic of vulnerability, we developed an automated deep learning method for detecting microvessels in intravascular optical coherence tomography (IVOCT) ima…
Improved accuracy and reproducibility of coronary artery cal-cification features using deconvolution
Yingnan Song, Ammar Hoori, Hao Wu +7
Our long-range goal is to improve current whole-heart CT calcium score by extracting quantitative features from individual calcifications. We performed deconvolution to improve sma…
Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography
Yazan Gharaibeh, Juhwan Lee, Vladislav N. Zimin +12
BACKGROUND Careful evaluation of the risk of stent under-expansions before the intervention will aid treatment planning, including the application of a pre-stent plaque modificatio…
Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries
Juhwan Lee, Gabriel T. R. Pereira, Yazan Gharaibeh +9
Thin-cap fibroatheroma (TCFA) and plaque rupture have been recognized as the most frequent risk factor for thrombosis and acute coronary syndrome. Intravascular optical coherence t…