Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Lee Juhwan"'
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
Autor:
Lee, Juhwan, Kim, Jisu
This study addresses the hallucination problem in large language models (LLMs). We adopted Retrieval-Augmented Generation(RAG) (Lewis et al., 2020), a technique that involves embedding relevant information in the prompt to obtain accurate answers. Ho
Externí odkaz:
http://arxiv.org/abs/2405.13008
Autor:
Kim, Jisu, Lee, Juhwan
The rapid advancement of Large Language Models (LLMs) has improved text understanding and generation but poses challenges in computational resources. This study proposes a curriculum learning-inspired, data-centric training strategy that begins with
Externí odkaz:
http://arxiv.org/abs/2405.07490
Autor:
Toka, Mesut, Lee, Byungju, Seong, Jaehyup, Kaushik, Aryan, Lee, Juhwan, Lee, Jungwoo, Lee, Namyoon, Shin, Wonjae, Poor, H. Vincent
Low-Earth orbit (LEO) satellite systems have been deemed a promising key enabler for current 5G and the forthcoming 6G wireless networks. Such LEO satellite constellations can provide worldwide three-dimensional coverage, high data rate, and scalabil
Externí odkaz:
http://arxiv.org/abs/2402.07381
Autor:
Wu, Hao, Song, Yingnan, Hoori, Ammar, Subramaniam, Ananya, Lee, Juhwan, Kim, Justin, Hu, Tao, Al-Kindi, Sadeer, Huang, Wei-Ming, Yun, Chun-Ho, Hung, Chung-Lieh, Rajagopalan, Sanjay, Wilson, David L.
We assessed the benefit of combining stress cardiac CT perfusion (CCTP) myocardial blood flow (MBF) with coronary CT angiography (CCTA) using our innovative CCTP software. By combining CCTA and CCTP, one can uniquely identify a flow limiting stenosis
Externí odkaz:
http://arxiv.org/abs/2401.17433
Autor:
Hu, Tao, Freeze, Joshua, Singh, Prerna, Kim, Justin, Song, Yingnan, Wu, Hao, Lee, Juhwan, Al-Kindi, Sadeer, Rajagopalan, Sanjay, Wilson, David L., Hoori, Ammar
Background: Recent studies have used basic epicardial adipose tissue (EAT) assessments (e.g., volume and mean HU) to predict risk of atherosclerosis-related, major adverse cardiovascular events (MACE). Objectives: Create novel, hand-crafted EAT featu
Externí odkaz:
http://arxiv.org/abs/2401.16190
Autor:
Song, Yingnan, Wu, Hao, Lee, Juhwan, Kim, Justin, Hoori, Ammar, Hu, Tao, Zimin, Vladislav, Makhlouf, Mohamed, Al-Kindi, Sadeer, Rajagopalan, Sanjay, Yun, Chun-Ho, Hung, Chung-Lieh, Wilson, David L.
We investigated the feasibility and advantages of using non-contrast CT calcium score (CTCS) images to assess pericoronary adipose tissue (PCAT) and its association with major adverse cardiovascular events (MACE). PCAT features from coronary CTA (CCT
Externí odkaz:
http://arxiv.org/abs/2401.15554
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
Rate-splitting multiple access (RSMA) is an emerging multiple access technique for multi-antenna networks that splits messages into common and private parts for flexible interference mitigation. Motivated by its robustness and scalability, it is prom
Externí odkaz:
http://arxiv.org/abs/2310.00244
Autor:
Hoori, Ammar, Al-Kindi, Sadeer, Hu, Tao, Song, Yingnan, Wu, Hao, Lee, Juhwan, Tashtish, Nour, Fu, Pingfu, Gilkeson, Robert, Rajagopalan, Sanjay, Wilson, David L.
Background. Coronary artery calcium (CAC) is a powerful predictor of major adverse cardiovascular events (MACE). Traditional Agatston score simply sums the calcium, albeit in a non-linear way, leaving room for improved calcification assessments that
Externí odkaz:
http://arxiv.org/abs/2308.12224