Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Hackjoon Shim"'
Autor:
Dawun Jeong, Youngtaek Hong, Jina Lee, Seul Bi Lee, Yeon Jin Cho, Hackjoon Shim, Hyuk-Jae Chang
Publikováno v:
IEEE Access, Vol 12, Pp 27648-27660 (2024)
Radiomics has gained popularity as a quantitative analysis method for medical images. However, computed tomography (CT) scans are performed using various parameters, such as X-ray dose and reconstruction kernels, which is a fundamental reason for the
Externí odkaz:
https://doaj.org/article/e38f273a004d415ab2db97267f5fed65
Autor:
Yuseong Son, Sihyeon Jeong, Youngtaek Hong, Jina Lee, Byunghwan Jeon, Hyunji Choi, Jaehwan Kim, Hackjoon Shim
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 944 (2024)
Computed tomography (CT) imaging is vital for diagnosing and monitoring diseases in both humans and animals, yet radiation exposure remains a significant concern, especially in animal imaging. Low-dose CT (LDCT) minimizes radiation exposure but often
Externí odkaz:
https://doaj.org/article/9fe5c519405c440e8055fb1c8998e998
Autor:
Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
Publikováno v:
IEEE Access, Vol 11, Pp 86335-86350 (2023)
Coronary artery procedures are primarily performed based on X-ray angiography images. However, coronary arteries in X-ray images are often partially broken, complicating diagnoses and procedures owing to lack of visibility. In this paper, we propose
Externí odkaz:
https://doaj.org/article/1f70e33b8f794604bdd3781570757e15
Autor:
Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, Jae-Kyun Ryu, Hackjoon Shim, Sang-Hyun Jeon, Sung Min Ko, Hyunjung Kim, Jin Woo Kim
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284793 (2023)
Background and purposeThis study aimed to investigate the potential of contrast enhancement (CE)-boost technique in the head and neck computed tomography (CT) angiography in terms of the objective and subjective image quality.Materials and methodsCon
Externí odkaz:
https://doaj.org/article/e3808eb843084c14b1ceb16c39bce7de
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang
Publikováno v:
Journal of Integrative Neuroscience, Vol 20, Iss 4, Pp 967-976 (2021)
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative reconstruc
Externí odkaz:
https://doaj.org/article/276c67d355ab481691c26aca6b8c9a91
Autor:
Pil-Hyun Jeon, Sang-Hyun Jeon, Donghee Ko, Giyong An, Hackjoon Shim, Chuluunbaatar Otgonbaatar, Kihong Son, Daehong Kim, Sung Min Ko, Myung-Ae Chung
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1862 (2023)
Background: In coronary computed tomography angiography (CCTA), the main issue of image quality is noise in obese patients, blooming artifacts due to calcium and stents, high-risk coronary plaques, and radiation exposure to patients. Objective: To co
Externí odkaz:
https://doaj.org/article/fab7974287504e7687e3e7295e92824c
Publikováno v:
IEEE Access, Vol 9, Pp 139426-139437 (2021)
Automatic detection and classification of thoracic diseases using deep learning algorithms have many applications supporting radiologists’ diagnosis and prognosis. However, in the medical field, the class-imbalanced problem is extremely common due
Externí odkaz:
https://doaj.org/article/4a875656fbc24145bd6cc35f19e4e1a7
Publikováno v:
Entropy, Vol 23, Iss 1, p 64 (2021)
We propose a robust method to simultaneously localize multiple objects in cardiac computed tomography angiography (CTA) images. The relative prior distributions of the multiple objects in the three-dimensional (3D) space can be obtained through integ
Externí odkaz:
https://doaj.org/article/d2b4243affb44c3e9d5a331804a38108
Autor:
Dongjin Han, Hackjoon Shim, Byunghwan Jeon, Yeonggul Jang, Youngtaek Hong, Sunghee Jung, Seongmin Ha, Hyuk-Jae Chang
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0156837 (2016)
We propose a Bayesian tracking and segmentation method of coronary arteries on coronary computed tomographic angiography (CCTA). The geometry of coronary arteries including lumen boundary is estimated in Maximum A Posteriori (MAP) framework. Three co
Externí odkaz:
https://doaj.org/article/bddcb7a24e334cb7afdfb88da4880fcc
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Jaemin Shin, Han Myun Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang
Publikováno v:
Acta Radiologica. 64:1007-1017
Background The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA). Purpose To evaluate the effect of var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75060c8e31103aea33767699d176c101
https://doi.org/10.1177/02841851221118476
https://doi.org/10.1177/02841851221118476