Zobrazeno 1 - 10
of 5 852
pro vyhledávání: '"Goo Lee"'
Autor:
Sahyun Pak, Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Wonchul Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn
Publikováno v:
Investigative and Clinical Urology, Vol 65, Iss 6, Pp 551-558 (2024)
Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recentl
Externí odkaz:
https://doaj.org/article/0ddbada654af42b8840f399050326aa0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Coronary artery calcium (CAC) scoring CT is a useful tool for screening coronary artery disease and for cardiovascular risk stratification. However, its efficacy in patients with coronary stents, who had pre-existing coronary artery disease,
Externí odkaz:
https://doaj.org/article/638e08132e0f43588ca7f8a15ce43f3c
Autor:
Seungjin Lee, Geun Seop Shin, Sang-I Kong, Yoseop Won, Young Dai Kwon, Jung Min Yoon, Kyoung Ok Ko, In Goo Lee, Jun Suk Oh
Publikováno v:
Pediatric Emergency Medicine Journal, Vol 11, Iss 4, Pp 179-184 (2024)
This case report describes a successful use of normothermic targeted temperature management (TTM) for the treatment of a 14-year-old girl with exertional heat stroke. Upon hospitalization, she exhibited a 40.5 ℃ core temperature and multiorgan fail
Externí odkaz:
https://doaj.org/article/f7be995a3e0c4ef386c875dbc28b7ab2
Publikováno v:
Applied Biological Chemistry, Vol 67, Iss 1, Pp 1-14 (2024)
Abstract Trichlorobenzenes (TCBs), comprising the isomers 1,2,3-, 1,2,4-, and 1,3,5-TCB, disrupt metabolic processes by inducing liver enzymes involved in xenobiotic metabolism, suggesting a broad toxicological impact. Specifically, exposure to TCBs
Externí odkaz:
https://doaj.org/article/9cf5c73208c94a81958715d8fed47695
Autor:
Joongwon Choi, Jooyoung Lee, Yu Been Hwang, Byong Chang Jeong, Sangchul Lee, Ja Hyeon Ku, Jong Kil Nam, Wansuk Kim, Ji Youl Lee, Sung Hoo Hong, Koon Ho Rha, Woong Kyu Han, Won Sik Ham, Sung Gu Kang, Seok Ho Kang, Jong Jin Oh, Young Goo Lee, Tae Gyun Kwon, Tae-Hwan Kim, Seung Hyun Jeon, Sang Hyub Lee, Sung Yul Park, Young Eun Yoon, Yong Seong Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract To investigate the influence of preoperative smoking history on the survival outcomes and complications in a cohort from a large multicenter database. Many patients who undergo radical cystectomy (RC) have a history of smoking; however, the
Externí odkaz:
https://doaj.org/article/1ba2f92fa6c4470ea8f6c657f9c96564
Publikováno v:
Investigative and Clinical Urology, Vol 65, Iss 3, Pp 202-216 (2024)
Purpose: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in urological diseases. This study aimed to comprehensively review recent applications of AI in urolog
Externí odkaz:
https://doaj.org/article/95e8316e93004f36b2d475ea559522cc
Publikováno v:
Surfaces, Vol 7, Iss 2, Pp 238-250 (2024)
This study focused on manufacturing efficient automobile sound-absorbing materials through alkaline treatment and dimple processing of recycled polyethylene terephthalate (rPET) nonwoven fabric. The rPET nonwoven fabric was produced with a sound-abso
Externí odkaz:
https://doaj.org/article/cfd530a6fb74413a843d8be2c03ed148
Autor:
Sung Gon Park, Jeonghyun Park, Hong Rock Choi, Jun Ho Lee, Sung Tae Cho, Young Goo Lee, Hanjong Ahn, Sahyun Pak
Publikováno v:
European Urology Open Science, Vol 62, Iss , Pp 47-53 (2024)
Background and objective: Recently, deep learning algorithms, including convolutional neural networks (CNNs), have shown remarkable progress in medical imaging analysis. Semantic segmentation, which segments an unknown image into different parts and
Externí odkaz:
https://doaj.org/article/8b9d927743134078bcf9d71f0b203916
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4201-4222 (2024)
Abstract The class imbalance problem occurs when there is an unequal distribution of classes in a dataset and is a significant issue in various artificial intelligence applications. This study focuses on the severe multiclass imbalance problem of hum
Externí odkaz:
https://doaj.org/article/c72756fe6c6b4986a006e7d63158d538
Autor:
Jihoon G. Yoon, Dong Geon Jang, Sung-Gyu Cho, Chaeyoung Lee, Shin Hye Noh, Soo Kyung Seo, Jung Woo Yu, Hyeon Woo Chung, KyeoRe Han, Soon Sung Kwon, Dai Hoon Han, Jaeseong Oh, In-Jin Jang, Sang-Hoon Kim, Young-Koo Jee, Hyun Lee, Dong Won Park, Jang Won Sohn, Ho Joo Yoon, Chul Hoon Kim, Jae Myun Lee, Sang-Heon Kim, Min Goo Lee
Publikováno v:
Experimental and Molecular Medicine, Vol 56, Iss 3, Pp 570-582 (2024)
Abstract Anti-tuberculosis (AT) medications, including isoniazid (INH), can cause drug-induced liver injury (DILI), but the underlying mechanism remains unclear. In this study, we aimed to identify genetic factors that may increase the susceptibility
Externí odkaz:
https://doaj.org/article/119002dbb031472bbb9999dad2b2d002