Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jheng-Ru Chen"'
Autor:
Ai-Ho Liao, Jheng-Ru Chen, Shi-Hong Liu, Chun-Hao Lu, Chia-Wei Lin, Jeng-Yi Shieh, Wen-Chin Weng, Po-Hsiang Tsui
Publikováno v:
Diagnostics, Vol 11, Iss 6, p 963 (2021)
Duchenne muscular dystrophy (DMD) results in loss of ambulation and premature death. Ultrasound provides real-time, safe, and cost-effective routine examinations. Deep learning allows the automatic generation of useful features for classification. Th
Externí odkaz:
https://doaj.org/article/ab304578848642de9f2f5046f805b5a1
Autor:
Jheng-Ru Chen, Yi-Ping Chao, Yu-Wei Tsai, Hsien-Jung Chan, Yung-Liang Wan, Dar-In Tai, Po-Hsiang Tsui
Publikováno v:
Entropy, Vol 22, Iss 9, p 1006 (2020)
Entropy is a quantitative measure of signal uncertainty and has been widely applied to ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically involves a backscattered statistical analysis of signals based on informat
Externí odkaz:
https://doaj.org/article/806e64d6c2bb440c904c2ab921b7f543
Frequency-domain CBE imaging for ultrasound localization of the HIFU focal spot: a feasibility study
Autor:
Jheng-Ru Chen, Cheng-Wei Huang, Qiang Li, Yu-Wei Tsai, Hao-Li Liu, Zhuhuang Zhou, Kun Yang, Po-Hsiang Tsui, Chin-Kuo Chen
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Scientific Reports
Scientific Reports
High-intensity focused ultrasound (HIFU) is a well-accepted tool for noninvasive thermal therapy. To control the quality of HIFU treatment, the focal spot generated in tissues must be localized. Ultrasound imaging can monitor heated regions; in parti
Autor:
Wen-Chin Weng, Jeng-Yi Shieh, Chun-Hao Lu, Po-Hsiang Tsui, Ai-Ho Liao, Chia-Wei Lin, Shi-Hong Liu, Jheng-Ru Chen
Publikováno v:
Diagnostics
Volume 11
Issue 6
Diagnostics, Vol 11, Iss 963, p 963 (2021)
Volume 11
Issue 6
Diagnostics, Vol 11, Iss 963, p 963 (2021)
Duchenne muscular dystrophy (DMD) results in loss of ambulation and premature death. Ultrasound provides real-time, safe, and cost-effective routine examinations. Deep learning allows the automatic generation of useful features for classification. Th
Autor:
Hsien-Jung Chan, Jheng-Ru Chen, Yi-Ping Chao, Dar-In Tai, Yung-Liang Wan, Yu-Wei Tsai, Po-Hsiang Tsui
Publikováno v:
Entropy
Entropy, Vol 22, Iss 1006, p 1006 (2020)
Volume 22
Issue 9
Entropy, Vol 22, Iss 1006, p 1006 (2020)
Volume 22
Issue 9
Entropy is a quantitative measure of signal uncertainty and has been widely applied to ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically involves a backscattered statistical analysis of signals based on informat