Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kanghyun Ryu"'
Autor:
Abdulkhalek Al-Fakih, Abdullah Shazly, Abbas Mohammed, Mohammed Elbushnaq, Kanghyun Ryu, Yeong Hyeon Gu, Mohammed A. Al-masni, Meena M. Makary
Publikováno v:
Alexandria Engineering Journal, Vol 99, Iss , Pp 108-123 (2024)
Manual segmentation of brain tumors using structural magnetic resonance imaging (MRI) is an arduous and time-consuming task. Therefore, automatic and robust segmentation will considerably influence neuro-oncological clinical trials by reducing excess
Externí odkaz:
https://doaj.org/article/38ed10efd89e447a839c94e7571a54c1
Autor:
Mahmut Yurt, Kanghyun Ryu, Zhitao Li, Xucheng Zhu, Xianglun Mao, PhD, Martin Janich, PhD, John Pauly, Ali Syed, Shreyas Vasanawala
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100200- (2024)
Externí odkaz:
https://doaj.org/article/e1b5e1818592499cbd6c4d99aa0ec0f8
Autor:
Kanghyun Ryu, Chena Lee, Yoseob Han, Subeen Pang, Young Hyun Kim, Chanyeol Choi, Ikbeom Jang, Sang-Sun Han
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285608 (2023)
Cone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage of lower dosage than multidetector computed tomography (MDCT; also simply referred to as CT). However, in CBCT, due to the cone-shaped geometry of the X-
Externí odkaz:
https://doaj.org/article/842da2a54b66485c905269a44032324e
Autor:
Zheng Zhong, Kanghyun Ryu, Jonathan Mao, Kaibao Sun, Guangyu Dan, Shreyas S. Vasanawala, Xiaohong Joe Zhou
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 864 (2023)
Purpose: To develop a novel convolutional recurrent neural network (CRNN-DWI) and apply it to reconstruct a highly undersampled (up to six-fold) multi-b-value, multi-direction diffusion-weighted imaging (DWI) dataset. Methods: A deep neural network t
Externí odkaz:
https://doaj.org/article/b2f18e2e8e6448339c6eff655ac333fd
Autor:
Hunjin Chung, Koung Mi Kang, Mohammed A. Al-Masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim
Publikováno v:
IEEE Access, Vol 8, Pp 43325-43335 (2020)
Intracranial artery stenosis is an important public health concern internationally, due to it being one of the major causes of ischemic stroke. In this study, we aim to provide a computer-aided diagnosis algorithm capable of automatically distinguish
Externí odkaz:
https://doaj.org/article/7d8b195406a545b8984eb582f5461113
Autor:
Kyeong Hwa Ryu, Hye Jin Baek, Sung-Min Gho, Kanghyun Ryu, Dong-Hyun Kim, Sung Eun Park, Ji Young Ha, Soo Buem Cho, Joon Sung Lee
Publikováno v:
Journal of Clinical Medicine, Vol 9, Iss 2, p 364 (2020)
We investigated the capability of a trained deep learning (DL) model with a convolutional neural network (CNN) in a different scanning environment in terms of ameliorating the quality of synthetic fluid-attenuated inversion recovery (FLAIR) images. T
Externí odkaz:
https://doaj.org/article/29d25b04e0104de5b135121583dd2fdd
Autor:
Jae-Hun Lee, Jae-Yoon Kim, Kanghyun Ryu, Al-masni, Mohammed A., Tae Hyung Kim, Dongyeob Han, Hyun Gi Kim, Dong-Hyun Kim
Publikováno v:
Magnetic Resonance in Medicine; Jun2024, Vol. 91 Issue 6, p2483-2497, 15p
Autor:
Jae‐Hun Lee, Jaeuk Yi, Jun‐Hyeong Kim, Kanghyun Ryu, Dongyeob Han, Sewook Kim, Seul Lee, Deog Young Kim, Dong‐Hyun Kim
Publikováno v:
Medical Physics. 49:5929-5942
To enable acceleration in 3D multi-echo gradient echo (mGRE) acquisition for myelin water imaging (MWI) by combining joint parallel imaging (JPI) and joint deep learning (JDL).We implemented a multistep reconstruction process using both advanced para
Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence
Autor:
Chanyeol Choi, Hyunseok Kim, Ji-Hoon Kang, Min-Kyu Song, Hanwool Yeon, Celesta S. Chang, Jun Min Suh, Jiho Shin, Kuangye Lu, Bo-In Park, Yeongin Kim, Han Eol Lee, Doyoon Lee, Jaeyong Lee, Ikbeom Jang, Subeen Pang, Kanghyun Ryu, Sang-Hoon Bae, Yifan Nie, Hyun S. Kum, Min-Chul Park, Suyoun Lee, Hyung-Jun Kim, Huaqiang Wu, Peng Lin, Jeehwan Kim
Publikováno v:
Nature Electronics. 5:386-393
Autor:
Greig Scott, john pauly, Shreyas Vasanawala, Fraser Robb, Yuxin Wu, Zhitao Li, Kanghyun Ryu, Wonje Lee
This study investigates the feasibility of non-contact retrospective respiratory gating and cardiac sensing using continuous wave Doppler radar deployed in an MRI system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27498d7f3c71de62d70fae8e509c7e1e
https://doi.org/10.36227/techrxiv.21912993.v1
https://doi.org/10.36227/techrxiv.21912993.v1