Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Seung Yeon, Shin"'
Publikováno v:
치위생과학회지, Vol 22, Iss 4, Pp 233-240 (2022)
Background: In modern society, rapid changes in the medical environment have required medical staff to access various information and be competent in active and effective problem-solving through collegial interactions. In line with these changes, uni
Externí odkaz:
https://doaj.org/article/3d7d17f65ba74c9b840b3c17264f5ddf
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2863 (2022)
Alopecia is a chronic inflammatory skin disease with various causes. Lespedeza bicolor extract (LBE) has been reported to have anti-inflammatory and antioxidative effects. In this study, the activity and mechanisms of LBE as a hair growth agent were
Externí odkaz:
https://doaj.org/article/0c220f5bb0f84c9f8550afb2d8faf158
Autor:
Manas K. Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4780e1554818309d5ceff4733e8bec
https://doi.org/10.1117/12.2654027
https://doi.org/10.1117/12.2654027
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51dbec29b6ae6dda152bdfa7f98e9b8
https://doi.org/10.1002/mp.16391
https://doi.org/10.1002/mp.16391
Publikováno v:
Applied Sciences, Vol 11, Iss 1, p 320 (2020)
Retinal artery–vein (AV) classification is a prerequisite for quantitative analysis of retinal vessels, which provides a biomarker for neurologic, cardiac, and systemic diseases, as well as ocular diseases. Although convolutional neural networks ha
Externí odkaz:
https://doaj.org/article/e5f8536ee7074c8495255d3005d3fd06
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cedea3acfb1387826804edbfd2f3ae4
https://pubmed.ncbi.nlm.nih.gov/36194886
https://pubmed.ncbi.nlm.nih.gov/36194886
Autor:
Jiwon Lee, Ho-Geol Ryu, Anna Kim, Seokha Yoo, Seung-Yeon Shin, Sun-Hye Kang, Jinyoung Jeong, Yongjae Yoo
Publikováno v:
Korean Journal of Anesthesiology, Vol 66, Iss 6, Pp 472-475 (2014)
Anesthetic management of pediatric liver transplantation in a patient with osteogenesis imperfecta (OI) requires tough decisions and comprehensive considerations of the cascade of effects that may arise and the required monitoring. Total intravenous
Externí odkaz:
https://doaj.org/article/2a4057d3d09348768372d10cce900e1a
Autor:
Yong Joon Jeong, Se Chan Kang, Hee Ju Suh, Seung-Yeon Shin, Tae Hwan Choe, Hyelin Jeon, Yoon Seo Lee, Dae Won Park, Eun Jeong Kim, Da Eun Lee, Yeong-Geun Lee, Yang-Mi Her
Publikováno v:
Nutrition Research and Practice
BACKGROUND/OBJECTIVES Premenstrual syndrome (PMS) is a disorder characterized by repeated emotional, behavioral, and physical symptoms before menstruation, and the exact cause and mechanism are uncertain. Hyperprolactinemia interferes with the normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560783ea6ade6e9c9774e0a073d0ff2d
http://europepmc.org/articles/PMC8601943
http://europepmc.org/articles/PMC8601943
Publikováno v:
European Radiology
Objectives To develop a convolutional neural network system to jointly segment and classify a hepatic lesion selected by user clicks in ultrasound images. Methods In total, 4309 anonymized ultrasound images of 3873 patients with hepatic cyst (n = 121
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c91a3ab89b714edc286092c3831e5d81
https://doi.org/10.1007/s00330-021-07850-9
https://doi.org/10.1007/s00330-021-07850-9
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
We present a novel unsupervised domain adaptation method for small bowel segmentation based on feature disentanglement. To make the domain adaptation more controllable, we disentangle intensity and non-intensity features within a unique two-stream au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3675d0ac2e44039b986e64067fc130
https://pubmed.ncbi.nlm.nih.gov/35601480
https://pubmed.ncbi.nlm.nih.gov/35601480