Výsledky vyhledávání - "Zimin Vladislav N."

Akademický článek

Degradation modeling of poly-l-lactide acid (PLLA) bioresorbable vascular scaffold within a coronary artery

Autor: Lin Shengmao, Dong Pengfei, Zhou Changchun, Dallan Luis Augusto P., Zimin Vladislav N., Pereira Gabriel T. R., Lee Juhwan, Gharaibeh Yazan, Wilson David L., Bezerra Hiram G., Gu Linxia

Publikováno v: Nanotechnology Reviews, Vol 9, Iss 1, Pp 1217-1226 (2020)

In this work, a strain-based degradation model was implemented and validated to better understand the dynamic interactions between the bioresorbable vascular scaffold (BVS) and the artery during the degradation process. Integrating the strain-modulat

Externí odkaz: https://doaj.org/article/826c0fb8013240cc9ff1d15aa2e64714

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Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images

Autor: Lee, Juhwan, Kim, Justin N., Dallan, Luis A. P., Zimin, Vladislav N., Hoori, Ammar, Hassani, Neda S., Makhlouf, Mohamed H. E., Guagliumi, Giulio, Bezerra, Hiram G., Wilson, David L.

Thin-cap fibroatheroma (TCFA) is a prominent risk factor for plaque rupture. Intravascular optical coherence tomography (IVOCT) enables identification of fibrous cap (FC), measurement of FC thicknesses, and assessment of plaque vulnerability. We deve

Externí odkaz: http://arxiv.org/abs/2311.06202

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Automated segmentation of microvessels in intravascular OCT images using deep learning

Autor: Lee, Juhwan, Kim, Justin N., Gomez-Perez, Lia, Gharaibeh, Yazan, Motairek, Issam, Pereira, Ga-briel T. R., Zimin, Vladislav N., Dallan, Luis A. P., Hoori, Ammar, Al-Kindi, Sadeer, Guagliumi, Giulio, Bezerra, Hiram G., Wilson, David L.

To analyze this characteristic of vulnerability, we developed an automated deep learning method for detecting microvessels in intravascular optical coherence tomography (IVOCT) images. A total of 8,403 IVOCT image frames from 85 lesions and 37 normal

Externí odkaz: http://arxiv.org/abs/2210.00166

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Prediction of stent under-expansion in calcified coronary arteries using machine-learning on intravascular optical coherence tomography

Autor: Gharaibeh, Yazan, Lee, Juhwan, Zimin, Vladislav N., Kolluru, Chaitanya, Dallan, Luis A. P., Pereira, Gabriel T. R., Vergara-Martel, Armando, Kim, Justin N., Hoori, Ammar, Dong, Pengfei, Gamage, Peshala T., Gu, Linxia, Bezerra, Hiram G., Al-Kindi, Sadeer, Wilson, David L.

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 modification strategy. OBJECTIVES It remains challenging to achieve a proper sten

Externí odkaz: http://arxiv.org/abs/2205.10354

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OCTOPUS -- optical coherence tomography plaque and stent analysis software

Autor: Lee, Juhwan, Kim, Justin N., Gharaibeh, Yazan, Zimin, Vladislav N., Dallan, Luis A. P., Pereira, Gabriel T. R., Vergara-Martel, Armando, Kolluru, Chaitanya, Hoori, Ammar, Bezerra, Hiram G., Wilson, David L.

Compared with other imaging modalities, intravascular optical coherence tomography (IVOCT) has significant advantages for guiding percutaneous coronary interventions. To aid IVOCT research studies, we developed the Optical Coherence TOmography PlaqUe

Externí odkaz: http://arxiv.org/abs/2204.10212

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Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries

Autor: Lee, Juhwan, Pereira, Gabriel T. R., Gharaibeh, Yazan, Kolluru, Chaitanya, Zimin, Vladislav N., Dallan, Luis A. P., Kim, Justin N., Hoori, Ammar, Al-Kindi, Sadeer G., Guagliumi, Giulio, Bezerra, Hiram G., Wilson, David L.

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 tomography (IVOCT) can identify TCFA and assess cap thickness, which pr

Externí odkaz: http://arxiv.org/abs/2204.10162

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