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Akademický článek

Analysis of the Performance for Bystanders’ Cardiopulmonary Resuscitation in Geriatric and Out-of-Hospital Cardiac Arrested Patients

Autor: Junwon Bae, Jaehoon Oh, Sanghyun Lee, Tae Ho Lim, Hyunggoo Kang, Juncheol Lee

Publikováno v: Annals of Geriatric Medicine and Research, Vol 20, Iss 3, Pp 118-124 (2016)

Background: The purpose of this study was to determine if there were changes in bystanders’ chest compression performance and activation of emergency medical services in geriatric and out-of-hospital cardiac patients following the institution of th

Externí odkaz: https://doaj.org/article/b0acb88f15b34ce0af2a3aef190e65c0

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External Validation of Deep Learning Algorithm for Detecting and Visualizing Femoral Neck Fracture Including Displaced and Non-displaced Fracture on Plain X-ray

Autor: Dong Keon Lee, Tae Hyun Kim, Jae Ho Chung, Junwon Bae, Jaehoon Oh, Myeong Seong Yoon, Hayoung Byun, Sangjoon Yu, Chiwon Ahn

Publikováno v: J Digit Imaging

This study aimed to develop a method for detection of femoral neck fracture (FNF) including displaced and non-displaced fractures using convolutional neural network (CNN) with plain X-ray and to validate its use across hospitals through internal and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15768ff487783d5fb4734801ef90fd0d
https://doi.org/10.1007/s10278-021-00499-2

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An Assistive Role of a Machine Learning Network in Diagnosis of Middle Ear Diseases

Autor: Sangjoon Yu, Seung Hwan Lee, Tae Hyun Kim, Jaehoon Oh, Jae Ho Chung, Hayoung Byun, Myeong Seong Yoon, Junwon Bae

Publikováno v: Journal of Clinical Medicine, Vol 10, Iss 3198, p 3198 (2021)
Journal of Clinical Medicine
Volume 10
Issue 15

The present study aimed to develop a machine learning network to diagnose middle ear diseases with tympanic membrane images and to identify its assistive role in the diagnostic process. The medical records of subjects who underwent ear endoscopy test

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d499dd51d381e531970204bd2b2ac2
https://www.mdpi.com/2077-0383/10/15/3198

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Deep learning algorithms for detecting and visualising intussusception on plain abdominal radiography in children: a retrospective multicenter study

Autor: Chiwon Ahn, Bo Kyeong Kang, Gitaek Kwon, Junwon Bae, Dong Keon Lee, Jongbin Ryu, Jongwoo Lim, Jaehoon Oh

Publikováno v: Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)

This study aimed to verify a deep convolutional neural network (CNN) algorithm to detect intussusception in children using a human-annotated data set of plain abdominal X-rays from affected children. From January 2005 to August 2019, 1449 images were

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1728005942234dfa5f50f9c9926455
http://europepmc.org/articles/PMC7567788

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Analysis of the Performance for Bystanders’ Cardiopulmonary Resuscitation in Geriatric and Out-of-Hospital Cardiac Arrested Patients

Autor: Tae Ho Lim, Junwon Bae, Jaehoon Oh, Sanghyun Lee, Hyunggoo Kang, Juncheol Lee

Publikováno v: Annals of Geriatric Medicine and Research, Vol 20, Iss 3, Pp 118-124 (2016)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d138796a4361e0cff955b5dc0c0812f5
http://www.e-agmr.org/journal/view.html?doi=10.4235/agmr.2016.20.3.118

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