Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Hyun‑Jin Bae"'
Autor:
Sung Hyun Noh, Gaeun Lee, Hyun-Jin Bae, Ju Yeon Han, Su Jeong Son, Deok Kim, Jeong Yeon Park, Seung Kyeong Choi, Pyung Goo Cho, Sang Hyun Kim, Woon Tak Yuh, Su Hun Lee, Bumsoo Park, Kwang-Ryeol Kim, Kyoung-Tae Kim, Yoon Ha
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 481 (2024)
This study measured parameters automatically by marking the point for measuring each parameter on whole-spine radiographs. Between January 2020 and December 2021, 1017 sequential lateral whole-spine radiographs were retrospectively obtained. Of these
Externí odkaz:
https://doaj.org/article/abb0971441f94da29cf19dde39ebb4e6
Autor:
Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee, Namkug Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The generative adversarial network (GAN) is a promising deep learning method for generating images. We evaluated the generation of highly realistic and high-resolution chest radiographs (CXRs) using progressive growing GAN (PGGAN). We traine
Externí odkaz:
https://doaj.org/article/81c342f5289a4c27b81d630f94efa3f9
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Realistic image generation is valuable in dental medicine, but still challenging for generative adversarial networks (GANs), which require large amounts of data to overcome the training instability. Thus, we generated lateral cephalogram X-r
Externí odkaz:
https://doaj.org/article/6c379c130b4846fba9ba730e1fc708a4
Autor:
Mingyu Kim, Hyun-Jin Bae
Publikováno v:
대한영상의학회지, Vol 81, Iss 6, Pp 1290-1304 (2020)
Medical image analyses have been widely used to differentiate normal and abnormal cases, detect lesions, segment organs, etc. Recently, owing to many breakthroughs in artificial intelligence techniques, medical image analyses based on deep learning
Externí odkaz:
https://doaj.org/article/6504e641bf774154b27eb0c3707986a9
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-8 (2020)
Abstract Background The association between long-term exposure to air pollutants, including nitrogen dioxide (NO2), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), and particulate matter 10 μm or less in diameter (PM10), and mortality by isc
Externí odkaz:
https://doaj.org/article/b87ea1e8b7814bc2a3c57fa191ffdebd
Maximum emergency department overcrowding is correlated with occurrence of unexpected cardiac arrest
Autor:
June-sung Kim, Hyun-Jin Bae, Chang Hwan Sohn, Sung-Eun Cho, Jeongeun Hwang, Won Young Kim, Namkug Kim, Dong-Woo Seo
Publikováno v:
Critical Care, Vol 24, Iss 1, Pp 1-8 (2020)
Abstract Background Emergency department overcrowding negatively impacts critically ill patients and could lead to the occurrence of cardiac arrest. However, the association between emergency department crowding and the occurrence of in-hospital card
Externí odkaz:
https://doaj.org/article/e0b61da44de043198dad87be0cb243a9
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Autor:
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun-Jin Bae, Do Hoon Kim, Jeong-Sik Byeon, Namku Kim
Publikováno v:
Clinical Endoscopy, Vol 53, Iss 2, Pp 117-126 (2020)
Recently, significant improvements have been made in artificial intelligence. The artificial neural network was introduced in the 1950s. However, because of the low computing power and insufficient datasets available at that time, artificial neural n
Externí odkaz:
https://doaj.org/article/8010c34373f7451aa6388b45833d752f
Autor:
Hojin Cho, Jong-Hak Woo, Shu Wang, Donghoon Son, Jaejin Shin, Suvendu Rakshit, Aaron J. Barth, Vardha N. Bennert, Elena Gallo, Edmund Hodges-Kluck, Tommaso Treu, Hyun-Jin Bae, Wanjin Cho, Adi Foord, Jaehyuk Geum, Yashashree Jadhav, Yiseul Jeon, Kyle M. Kabasares, Daeun Kang, Wonseok Kang, Changseok Kim, Donghwa Kim, Minjin Kim, Taewoo Kim, Huynh Anh N. Le, Matthew A. Malkan, Amit Kumar Mandal, Daeseong Park, Songyoun Park, Hyun-il Sung, Vivian U, Peter R. Williams
Publikováno v:
The Astrophysical Journal, Vol 953, Iss 2, p 142 (2023)
The broad-line region (BLR) size–luminosity relation has paramount importance for estimating the mass of black holes in active galactic nuclei (AGNs). Traditionally, the size of the H β BLR is often estimated from the optical continuum luminosity
Externí odkaz:
https://doaj.org/article/d5b61d4a8a724fddba8a0f1a97c1f8dc
Publikováno v:
Neurospine, Vol 16, Iss 4, Pp 657-668 (2019)
The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by the human brain system, was developed by connecting layers with artificial neurons. However, due to the low computing power and insufficient learnable data,
Externí odkaz:
https://doaj.org/article/f36bb58d19cf4ad3b917e9187b7dc9cf
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/6220564fbe4b46ec934a3ad249ce4c54