Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ehwa, Yang"'
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1504 (2024)
In this paper, we present a cascaded deep convolution neural network (CNN) for assessing enlarged perivascular space (ePVS) within the basal ganglia region using T2-weighted MRI. Enlarged perivascular spaces (ePVSs) are potential biomarkers for vario
Externí odkaz:
https://doaj.org/article/e4a999a61d2e4549895a2a94771e979b
Autor:
Seung-Ah Lee, Hyun Su Kim, Ehwa Yang, Young Cheol Yoon, Ji Hyun Lee, Byung-Ok Choi, Jae-Hun Kim
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0310203 (2024)
We aimed to develop efficient data labeling strategies for ground truth segmentation in lower-leg magnetic resonance imaging (MRI) of patients with Charcot-Marie-Tooth disease (CMT) and to develop an automated muscle segmentation model using differen
Externí odkaz:
https://doaj.org/article/d522fec44ac84119b348d6a86d5d01a0
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2555 (2023)
Background: the objective of this study is to evaluate the predictive power of the survival model using deep learning of diffusion-weighted images (DWI) in patients with non-small-cell lung cancer (NSCLC). Methods: DWI at b-values of 0, 100, and 700
Externí odkaz:
https://doaj.org/article/2019247a5feb43c9bfbc326b446c2358
Autor:
Ehwa Yang, Venkateswarlu Gonuguntla, Won-Jin Moon, Yeonsil Moon, Hee-Jin Kim, Mina Park, Jae-Hun Kim
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9398 (2021)
In this article, we propose a deep-learning-based estimation model for rating enlarged perivascular spaces (EPVS) in the brain’s basal ganglia region using T2-weighted magnetic resonance imaging (MRI) images. The proposed method estimates the EPVS
Externí odkaz:
https://doaj.org/article/40d4ded5333f40dc89f0e6573647b959
Autor:
Jung Won, Moon, Chin A, Yi, Kyung Soo, Lee, Sook Young, Woo, O Jung, Kwon, Ehwa, Yang, Jae-Hun, Kim, Joungho, Han
Publikováno v:
Journal of Computer Assisted Tomography. 46:308-314
This study aimed to investigate the prognostic significance of dynamic contrast-enhanced computed tomography in patients with stage IA non-small cell lung cancer (NSCLC).We retrospectively enrolled 139 patients (77 men, 62 women; mean age, 59 years)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f11acd2f5a1b95e8a1934d8292a831a
https://doi.org/10.1097/rct.0000000000001270
https://doi.org/10.1097/rct.0000000000001270
Autor:
Yi Guan, Chia-Hsin Cheng, Weifan Chen, Yingqi Zhang, Sophia Koo, Maxine Krengel, Patricia Janulewicz, Rosemary Toomey, Ehwa Yang, Rafeeque Bhadelia, Lea Steele, Jae-Hun Kim, Kimberly Sullivan, Bang-Bon Koo
Publikováno v:
Brain Sciences, Vol 10, Iss 11, p 884 (2020)
Gulf War illness (GWI) refers to the multitude of chronic health symptoms, spanning from fatigue, musculoskeletal pain, and neurological complaints to respiratory, gastrointestinal, and dermatologic symptoms experienced by about 250,000 GW veterans w
Externí odkaz:
https://doaj.org/article/923d44c2b3314c30b375167a0d90eea5
The survival of lung cancer patients is expected differently according to the stage at diagnosis. However, each individual patient experiences different survival results even in the same stage group. DWI and ADC are two of widely used prognostic indi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1c9a797502e1d000f1c18649406fbc3
https://doi.org/10.21203/rs.3.rs-2158284/v1
https://doi.org/10.21203/rs.3.rs-2158284/v1
Publikováno v:
Medical Imaging 2022: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::014038d33403d7e1df5a4ba054b11e85
https://doi.org/10.1117/12.2613254
https://doi.org/10.1117/12.2613254
Autor:
Amir A. Amini, Michael F. McNitt-Gray, Keyvan Farahani, Yoganand Balagurunathan, Paul F. Pinsky, Gustavo Perez, Laura Alexandra Daza, Sandy Napel, Jayashree Kalpathy-Cramer, M. Mehdi Farhangi, Lubomir M. Hadjiiski, Alireza Mehrtash, Wiem Safta, Ali Gholipour, Joseph Enguehard, Ehwa Yang, Ricard Delgado-Gonzalo, Aditya Bagari, Renkun Ni, Benjamin Veasey, Kiran Vaidhya, Tina Kapur, Jung Won Moon, Hichem Frigui, Laura Silvana Castillo, Gabriel Bernardino, Pablo Arbeláez, Dmitry B. Goldgof, Xue Feng, Andrew Beers
Publikováno v:
IEEE Trans Med Imaging
IEEE transactions on medical imaging, vol 40, iss 12
IEEE transactions on medical imaging, vol 40, iss 12
Lung cancer is by far the leading cause of cancer death in the US. Recent studies have demonstrated the effectiveness of screening using low dose CT (LDCT) in reducing lung cancer related mortality. While lung nodules are detected with a high rate of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934c16463d26ea1a8a0252428eb87f02
https://europepmc.org/articles/PMC9531053/
https://europepmc.org/articles/PMC9531053/
Publikováno v:
Computer methods and programs in biomedicine. 215
We propose a novel deep neural network, the 3D Multi-Scale Residual Fully Convolutional Neural Network (3D-MS-RFCNN) to improve segmentation in extremely large-sized kidney tumors.The multi-scale approach with a deep neural network is applied to capt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::853d2d90c6ee3b9338bf2b5605435ccd
https://pubmed.ncbi.nlm.nih.gov/35026623
https://pubmed.ncbi.nlm.nih.gov/35026623