Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yazan Gharaibeh"'
Autor:
Yazan Gharaibeh, Juhwan Lee, Vladislav N. Zimin, Chaitanya Kolluru, Luis A. P. Dallan, Gabriel T. R. Pereira, Armando Vergara-Martel, Justin N. Kim, Ammar Hoori, Pengfei Dong, Peshala T. Gamage, Linxia Gu, Hiram G. Bezerra, Sadeer Al-Kindi, David L. Wilson
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract It can be difficult/impossible to fully expand a coronary artery stent in a heavily calcified coronary artery lesion. Under-expanded stents are linked to later complications. Here we used machine/deep learning to analyze calcifications in pr
Externí odkaz:
https://doaj.org/article/c49ef65467a94901bff75025543d4b6a
Autor:
Juhwan Lee, Yazan Gharaibeh, Vladislav N. Zimin, Justin N. Kim, Neda S. Hassani, Luis A. P. Dallan, Gabriel T. R. Pereira, Mohamed H. E. Makhlouf, Ammar Hoori, David L. Wilson
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 843 (2024)
This study aimed to investigate whether plaque characteristics derived from intravascular optical coherence tomography (IVOCT) could predict a long-term cardiovascular (CV) death. This study was a single-center, retrospective study on 104 patients wh
Externí odkaz:
https://doaj.org/article/98f6d561e16e4f67b21e05327a4eba74
Autor:
Juhwan Lee, Gabriel T. R. Pereira, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N. Zimin, Luis A. P. Dallan, Justin N. Kim, Ammar Hoori, Sadeer G. Al-Kindi, Giulio Guagliumi, Hiram G. Bezerra, David L. Wilson
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract 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,
Externí odkaz:
https://doaj.org/article/576e1f6d1e804749bfa98340c19ca68e
Autor:
Juhwan Lee, Justin N. Kim, Yazan Gharaibeh, Vladislav N. Zimin, Luis A.P. Dallan, Gabriel T.R. Pereira, Armando Vergara-Martel, Chaitanya Kolluru, Ammar Hoori, Hiram G. Bezerra, David L. Wilson
Publikováno v:
Heliyon, Vol 9, Iss 2, Pp e13396- (2023)
Background and objective: Compared with other imaging modalities, intravascular optical coherence tomography (IVOCT) has significant advantages for guiding percutaneous coronary interventions, assessing their outcomes, and characterizing plaque compo
Externí odkaz:
https://doaj.org/article/8bc7ce4fbd53402da56c804e5d6276d7
Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation
Publikováno v:
IEEE Access, Vol 9, Pp 37273-37280 (2021)
Deep learning based methods are routinely used to segment various structures of interest in varied medical imaging modalities. Acquiring annotations for a large number of images requires a skilled analyst, and the process is both time consuming and c
Externí odkaz:
https://doaj.org/article/bde60ef24bc04f689af834ad4d601c12
Autor:
Juhwan Lee, Yazan Gharaibeh, Chaitanya Kolluru, Vladislav N. Zimin, Luis Augusto Palma Dallan, Justin Namuk Kim, Hiram G. Bezerra, David L. Wilson
Publikováno v:
IEEE Access, Vol 8, Pp 225581-225593 (2020)
We developed a fully automated, two-step deep learning approach for characterizing coronary calcified plaque in intravascular optical coherence tomography (IVOCT) images. First, major calcification lesions were detected from an entire pullback using
Externí odkaz:
https://doaj.org/article/1bad237a67eb4099a06c00ab83e1a370
Autor:
Juhwan Lee, Justin N. Kim, Lia Gomez-Perez, Yazan Gharaibeh, Issam Motairek, Gabriel T. R. Pereira, Vladislav N. Zimin, Luis A. P. Dallan, Ammar Hoori, Sadeer Al-Kindi, Giulio Guagliumi, Hiram G. Bezerra, David L. Wilson
Publikováno v:
Bioengineering, Vol 9, Iss 11, p 648 (2022)
Microvessels in vascular plaque are associated with plaque progression and are found in plaque rupture and intra-plaque hemorrhage. To analyze this characteristic of vulnerability, we developed an automated deep learning method for detecting microves
Externí odkaz:
https://doaj.org/article/1419212871a54a979f1aae42d870747e
Autor:
Peshala T. Gamage, Pengfei Dong, Juhwan Lee, Yazan Gharaibeh, Vladislav N. Zimin, Hiram G. Bezerra, David L. Wilson, Linxia Gu
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5573 (2022)
The computational fluid dynamic method has been widely used to quantify the hemodynamic alterations in a diseased artery and investigate surgery outcomes. The artery model reconstructed based on optical coherence tomography (OCT) images generally doe
Externí odkaz:
https://doaj.org/article/77db7987281c46aa93ce44735c52d16c
Autor:
Yazan Gharaibeh, Juhwan Lee, Vladislav N. Zimin, Chaitanya Kolluru, Luis A. P. Dallan, Gabriel T. R. Pereira, Armando Vergara-Martel, Justin N. Kim, Ammar Hoori, Pengfei Dong, Peshala T. Gamage, Linxia Gu, Hiram G. Bezerra, Sadeer Al-Kindi, David L. Wilson
It can be difficult/impossible to fully expand a coronary artery stent in a heavily calcified coronary artery lesion. Under-expanded stents are linked to later complications. Here we used machine/deep learning to analyze calcifications in pre-stent i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a11eea7e9efc146f45fc5a75b60ec800
https://doi.org/10.21203/rs.3.rs-2193010/v1
https://doi.org/10.21203/rs.3.rs-2193010/v1
Autor:
Linxia Gu, Yazan Gharaibeh, Pengfei Dong, Hiram G. Bezerra, Gabriel Tensol Rodrigues Pereira, Changchun Zhou, David L. Wilson, Vladislav Zimin, Shengmao Lin, Juhwan Lee, Luis Augusto Palma Dallan
Publikováno v:
Nanotechnology reviews
Nanotechnology Reviews, Vol 9, Iss 1, Pp 1217-1226 (2020)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::224bbff67f0ecbd177881b4d58ca6a84
http://europepmc.org/articles/PMC8130847
http://europepmc.org/articles/PMC8130847