2 citations · 5 across the 3 of their papers we have counts for
4 papers
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…
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…
OCTOPUS -- optical coherence tomography plaque and stent analysis software
Juhwan Lee, Justin N. Kim, Yazan Gharaibeh +8
Compared with other imaging modalities, intravascular optical coherence tomography (IVOCT) has significant advantages for guiding percutaneous coronary interventions. To aid IVOCT…
Attention-Aware Linear Depthwise Convolution for Single Image Super-Resolution
Seongmin Hwang, Gwanghuyn Yu, Cheolkon Jung +1
Although deep convolutional neural networks (CNNs) have obtained outstanding performance in image superresolution (SR), their computational cost increases geometrically as CNN mode…