Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hee-Jin Yu"'
Publikováno v:
BMC Oral Health, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have
Externí odkaz:
https://doaj.org/article/afefdf9724c3499f8ceb3b2da99bc7dc
Publikováno v:
BMC Oral Health, Vol 20, Iss 1, Pp 1-10 (2020)
BMC Oral Health
BMC Oral Health
Background Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062a3fe75aeaa883b9293a75ead88220
http://link.springer.com/article/10.1186/s12903-020-01256-7
http://link.springer.com/article/10.1186/s12903-020-01256-7
Publikováno v:
RSC Advances. 10:4014-4022
A two-step machine learning (ML) algorithm for estimating both fractional flow reserve (FFR) and decision (DEC) for the coronary artery is introduced in this study. The primary purpose of this model is to suggest the possibility of ML-based FFR to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b843eb0dcf987be99970ef9a468761b
https://doi.org/10.1039/c9ra08999c
https://doi.org/10.1039/c9ra08999c
Autor:
Joon Sang Lee, Hee-Jin Yu, Jun Hong Kim, Jongeun Choi, Suk Won Chang, Hwi-Dong Jung, Yoon Jeong Choi, Jeong Jin Park, Hyung Ju Cho, Susie Ryu, Soonhyuk Hong
Publikováno v:
Computer methods and programs in biomedicine. 208
Background Obstructive sleep apnea syndrome (OSAS) is being observed in an increasing number of cases. It can be diagnosed using several methods such as polysomnography. Objectives To overcome the challenges of time and cost faced by conventional dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc6c57621f5987a063687abbd51c565b
https://pubmed.ncbi.nlm.nih.gov/34218170
https://pubmed.ncbi.nlm.nih.gov/34218170
Autor:
Hee-Jin Yu, Chang-Hwan Son
Publikováno v:
CVPR Workshops
Although new deep learning approaches have recently been introduced for leaf disease identification, existing deep learning models such as VGG and ResNet have been used previously. Therefore, a new deep learning architecture is proposed to consider t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::745bb2f5e53421f2bc0b11b9fad5a667
https://doi.org/10.1109/cvprw50498.2020.00034
https://doi.org/10.1109/cvprw50498.2020.00034
Autor:
Byoung-Seok Lee, Kyung-Jin Jung, Eun-Young Yun, So-Ri Han, Jae Sam Hwang, Hee-Jin Yu, Kyoung-Sik Moon
Publikováno v:
Regulatory Toxicology and Pharmacology. 77:206-212
Worldwide demand for novel food source has grown and edible insects are a promising food sources for humans. Tenebrio molitor, as known as yellow mealworm, has advantages of being rich in protein, and easy to raise as a novel food source. The objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7e455c2a11f718d9c58ed737297d551
https://doi.org/10.1016/j.yrtph.2016.03.006
https://doi.org/10.1016/j.yrtph.2016.03.006
Apple Leaf Disease Identification Through Region-of-Interest-Aware Deep Convolutional Neural Network
Publikováno v:
Journal of Imaging Science and Technology. 64:20507-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1356afeba8b8c96e738abb9b3e38107
https://doi.org/10.2352/j.imagingsci.technol.2020.64.2.020507
https://doi.org/10.2352/j.imagingsci.technol.2020.64.2.020507
Autor:
Heung-Sik Seo, Hee-Jin Yu, Young-Su Yang, Kyuhong Lee, Chang-Woo Song, Soonjin Kwon, Jinsoo Lee, Jeongah Song, Seong-Jin Choi, Byoung-Seok Lee, Kyu-Hyuk Cho, Jeong-Doo Heo
Publikováno v:
Toxicological Research
tert-Butyl acetate (TBAc) is an organic solvent, which is commonly used in architectural coatings and industrial solvents. It has recently been exempted from the definition of a volatile organic compound (VOC) by the Air Resources Board (ARB) . Since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c45c37c6101c4d47f58735edeb27099
https://pubmed.ncbi.nlm.nih.gov/24278537
https://pubmed.ncbi.nlm.nih.gov/24278537