Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hosang Yu"'
Autor:
Sungmoon Jeong, Hosang Yu, Shin-Hyung Park, Dongwon Woo, Seoung-Jun Lee, Gun Oh Chong, Hyung Soo Han, Jae-Chul Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Concurrent chemoradiotherapy (CRT) is the standard treatment for locally advanced cervical cancer (LACC), but its responsiveness varies among patients. A reliable tool for predicting CRT responses is necessary for personalized cancer treatme
Externí odkaz:
https://doaj.org/article/bbea507a66b24b22a5393b5472b9508d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the referen
Externí odkaz:
https://doaj.org/article/19d728098b0b4742bc4b1593a9301f02
Publikováno v:
Alzheimer's & Dementia. 17
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
A vision-based gait analysis method using monocular videos was proposed to estimate temporo-spatial gait parameters by leveraging deep learning algorithms. This study aimed to validate vision-based gait analysis using GAITRite as the reference system
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
To follow-up Parkinson’s disease (PD) progress, clinical gait analysis is performed with the precise measuring equipments (e.g. IMU, electric walkway, etc.). However, the existing gait analysis methods have a limitation such that patients must visi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::409db20c17ec13c03d836f522eafa197
https://doi.org/10.1007/978-3-030-36808-1_69
https://doi.org/10.1007/978-3-030-36808-1_69
Publikováno v:
Neural Information Processing ISBN: 9783030041816
ICONIP (3)
ICONIP (3)
Translating traditional documents is quite laborious and time consuming for human translators owing to the voluminous nature and a complexity of grammatical patterns. In recent times, a neural network-based machine translation architecture such as se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc8ec23270e8a637e57d938876644c4f
https://doi.org/10.1007/978-3-030-04182-3_8
https://doi.org/10.1007/978-3-030-04182-3_8