Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yeo Eun Han"'
Autor:
Yeo Eun Han, Beom Jin Park, Deuk Jae Sung, Min Ju Kim, Na Yeon Han, Ki Choon Sim, Yongwon Cho, Hayeon Kim
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 106, Iss 1 (2022)
Objectives: To determine the performance of virtual monoenergetic images (VMIs) of the portal venous phase (PVP) compared with the pancreatic-phase image for pancreatic ductal adenocarcinoma (PDAC) evaluation. Materials and methods: This retrospectiv
Externí odkaz:
https://doaj.org/article/dac0b209ea4d43569b8d9ea4709dee68
Autor:
Yeo Eun Han, Soo Young Chae, Jeong Hyeon Lee, Beom Jin Park, Deuk Jae Sung, Na Yeon Han, Ki Choon Sim, Min Ju Kim
Publikováno v:
대한영상의학회지, Vol 80, Iss 1, Pp 122-128 (2019)
Gastrointestinal tract involvement in undifferentiated pleomorphic sarcoma (UPS) is extremely rare. To the authors’ knowledge, only 21 cases of primary small bowel UPS have been reported in the literature available in English. Reported CT finding
Externí odkaz:
https://doaj.org/article/c9b3db4f5df94b65acb7c3fdaa1e6a42
Autor:
Yeo Eun Han, Yongwon Cho, Min Ju Kim, Beom Jin Park, Deuk Jae Sung, Na Yeon Han, Ki Choon Sim, Yang Shin Park, Bit Na Park
Publikováno v:
Abdominal Radiology. 48:244-256
To develop a radiomics-based hepatocellular carcinoma (HCC) grade classifier model based on data from gadoxetic acid-enhanced MRI.This retrospective study included 137 patients who underwent hepatectomy for a single HCC and gadoxetic acid-enhanced MR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06cec424263da9abd1041f7377a7569e
https://doi.org/10.1007/s00261-022-03679-y
https://doi.org/10.1007/s00261-022-03679-y
Autor:
Ki Choon Sim, Min Ju Kim, Yongwon Cho, Hyun Jin Kim, Beom Jin Park, Deuk Jae Sung, Yeo Eun Han, Na Yeon Han, Tae Hyung Kim, Yoo Jin Lee
Publikováno v:
Journal of Computer Assisted Tomography. 46:505-513
The aim of the study was to investigate the diagnostic feasibility of radiomics analysis using magnetic resonance elastography (MRE) to assess hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD).One hundred patients with suspec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c65a31cbab282934f259e11a2ca72f77
https://doi.org/10.1097/rct.0000000000001308
https://doi.org/10.1097/rct.0000000000001308
Autor:
Ki Choon Sim, Na Yeon Han, Yongwon Cho, Deuk Jae Sung, Beom Jin Park, Min Ju Kim, Yeo Eun Han
Publikováno v:
Journal of Computer Assisted Tomography; Nov/Dec2023, Vol. 47 Issue 6, p873-881, 9p
Autor:
Ki Choon Sim, Min Ju Kim, Yongwon Cho, Hyun Jin Kim, Beom Jin Park, Deuk Jae Sung, Na Yeon Han, Yeo Eun Han, Tae Hyung Kim, Yoo Jin Lee
Publikováno v:
Journal of Korean medical science. 37(49)
This study aimed to assess the diagnostic feasibility of radiomics analysis based on magnetic resonance (MR)-proton density fat fraction (PDFF) for grading hepatic steatosis in patients with suspected non-alcoholic fatty liver disease (NAFLD).This re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d9904e20b39a82e1efdee02b00c0d5
https://pubmed.ncbi.nlm.nih.gov/36536543
https://pubmed.ncbi.nlm.nih.gov/36536543
Autor:
Ki Choon Sim, Beom Jin Park, Byungjun Kim, Yeo Eun Han, Na Yeon Han, Min Ju Kim, Deuk Jae Sung, Sang Hyun Park, Kwang-Sig Lee, Yongwon Cho
Publikováno v:
Iranian Journal of Radiology. 19
Background: In conventional ultrasonography, the ultrasound image is not labeled with information on the location or orientation of the transducer. There is also no information on the parts of the body under examination. Objectives: This study aimed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6078b430eb245262afcdcbe5359da0
https://doi.org/10.5812/iranjradiol-122795
https://doi.org/10.5812/iranjradiol-122795
Autor:
Ki Choon Sim, Min Ju Kim, Deuk Jae Sung, Beom Jin Park, Na Yeon Han, Yongwon Cho, Yeo Eun Han, Yeom Suk Keu
Publikováno v:
J Digit Imaging
This study aimed to propose an efficient method for self-automated segmentation of the liver using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) through deep active learning. We developed an active learning framework for l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ec51bd8bdb656c09f5ac6fbc55d22c
https://europepmc.org/articles/PMC8554963/
https://europepmc.org/articles/PMC8554963/
Autor:
Yongwon Cho, Yeo Eun Han, Min Ju Kim, Beom Jin Park, Ki Choon Sim, Deuk Jae Sung, Na Yeon Han, Yang Shin Park
Publikováno v:
Computer Methods and Programs in Biomedicine. 225:107032
Diagnosis of hepatocellular carcinoma (HCC) on liver MRI needs analysis of multi-sequence images. However, developing computer-aided detection (CAD) for every single sequence requires considerable time and labor for image segmentation. Therefore, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a797232af1266b83568a39c8cb0a80e1
https://doi.org/10.1016/j.cmpb.2022.107032
https://doi.org/10.1016/j.cmpb.2022.107032
Autor:
Deuk Jae Sung, Yeo Eun Han, Yongwon Cho, Hyun Jin Kim, Tae Hyung Kim, Beom Jin Park, Min Ju Kim, Yoojin Lee, Ki Choon Sim, Na Yeon Han
Background: To investigate the diagnostic performance of radiomics analysis using magnetic resonance elastography (MRE) toward assessing hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Methods: A total of 100 patients with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2411ea388ff7992ff0e9b0b47d1c132c
https://doi.org/10.21203/rs.3.rs-798827/v1
https://doi.org/10.21203/rs.3.rs-798827/v1