Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Jae-Won Seo"'
Autor:
Sung-Pyo Yang, Jae-Myeong Kwon, Jae-Won Seo, Han Jo Jun, Kyungmin Hwang, Eun-Sun Kim, Ki-Hun Jeong
Publikováno v:
Advanced Photonics Research, Vol 4, Iss 2, Pp n/a-n/a (2023)
Quantitative in vivo measurement helps physicians determine abnormal tissue size or resection margin accurately. Herein, in vivo 3D imaging of abnormal features during endoscopic operation using a light switching microprojector is reported. The micro
Externí odkaz:
https://doaj.org/article/2650434db25e4c269578a991d1fd4d17
Autor:
Jae-Won Seo, Habeen Park, Dogeun Kim, Seoyun Lee, Young Gook Koh, Jang Yong Kim, Insoo Park, Wonmok Lee
Publikováno v:
Materials, Vol 14, Iss 13, p 3527 (2021)
N-butyl cyanoacrylate (NBCA) is a liquid monomer that undergoes an exothermic polymerization reaction to form a solid upon initiation with hydroxyl anions. Recently, EGpresto, a highly viscous NBCA-based adhesive, has been developed for vascular-occl
Externí odkaz:
https://doaj.org/article/b727c9410c3e43c383350a3db09ae297
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The vertebral compression is a significant factor for determining the prognosis of osteoporotic vertebral compression fractures and is generally measured manually by specialists. The consequent misdiagnosis or delayed diagnosis can be fatal
Externí odkaz:
https://doaj.org/article/d167dd4198354cd4bc44b44931e5e79c
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/2f803c0d0a7d4684ac683337c79856f2
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 274 (2022)
In this study, we aimed to investigate quantitative differences in performance in terms of comparing the automated classification of deep vein thrombosis (DVT) using two categories of artificial intelligence algorithms: deep learning based on convolu
Externí odkaz:
https://doaj.org/article/351b319826f04a269170f08ee5fbec06
Autor:
A. B. M. Hamidul Islam, Tae Kyoung Kim, Yu-Jung Cha, Jae Won Seo, Jiun Oh, Jong-In Shim, Dong-Soo Shin, Joon Seop Kwak
Publikováno v:
Gallium Nitride Materials and Devices XVIII.
Publikováno v:
Journal of Korea Planning Association. 56:128-142
Publikováno v:
Analytical chemistry. 94(41)
This study introduces the thickness-tapered channel design for flow field-flow fractionation (FlFFF) for the first time. In this design, the channel thickness linearly decreases along the channel axis such that the flow velocity increases down the ch
Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach
Autor:
Jae Won Seo, Suyoung Park, Young Jae Kim, Jung Han Hwang, Sung Hyun Yu, Jeong Ho Kim, Kwang Gi Kim
Early diagnosis of deep venous thrombosis is essential for reducing complications, such as recurrent pulmonary embolism and venous thromboembolism. There are numerous studies on enhancing efficiency of computer-aided diagnosis, but clinical diagnosti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f9d2f02fb7980f0550bdff52bb7fc07
https://doi.org/10.21203/rs.3.rs-1921650/v1
https://doi.org/10.21203/rs.3.rs-1921650/v1
Publikováno v:
IBRO Neuroscience Reports, Vol 16, Iss , Pp 336-344 (2024)
Alzheimer’s disease (AD) is the most common age-related progressive neurodegenerative disorder. The accumulation of amyloid beta-peptide is a neuropathological marker of AD. While melatonin is recognized to have protective effects on aging and neur
Externí odkaz:
https://doaj.org/article/ab66c2bc34cf4c8b9c3bb31fc6ac932e