| 國立臺灣大學 |
2015 |
Visible Red Light Enhances Physiological Anagen Entry In Vivo and has Direct and Indirect Stimulative Effects In Vitro
|
Sheen, Yi-Shuan; Fan, Sabrina Mai-Yi; Chan, Chih-Chieh; Wu, Yueh-Feng; Jee, Shiou-Hwa; Lin, Sung-Jan; 紀秀華; 詹智傑; 林頌然; 沈宜萱 |
| 臺大學術典藏 |
2022-09-16T03:41:35Z |
Visible red light enhances physiological anagen entry in vivo and has direct and indirect stimulative effects in vitro
|
Sheen Y.-S.; Fan S.M.-Y.; Chan C.-C.; Wu Y.-F.; Jee S.-H.; SUNG-JAN LIN |
| 國立成功大學 |
2012 |
Visible to near-infrared light harvesting in Ag2S nanoparticles/ZnO nanowire array photoanodes
|
Wu, Jih-Jen; Chang, Ru-Chun; Chen, Dian-Wei; Wu, Chun-Te |
| 東海大學 |
2012 |
Visible Watermarking Based on Multi-Parameters Adjustable Gamma Correction
|
林祝興; Lin, Chu-Hsing；Lee, Chen-Yu；Yang, Tzu-Chien；Chen, Deng-Jyi |
| 東海大學 |
2011-12-08 |
Visible Watermarking Based on Multi-parameters Adjustable Gamma Correction
|
林祝興; Chu-Hsing Lin, Chen-Yu Lee, Tzu-Chien Yang, and Shin-Pin Lai |
| 東海大學 |
2011 |
Visible watermarking based on multi-parameters adjustable gamma correction
|
Lin, C.-H., Lee, C.-Y., Yang, T.-C., Lai, S.-P. |
| 國立交通大學 |
2017-04-21T06:48:30Z |
Visible Watermarking Based on Multi-parameters Adjustable Gamma Correction
|
Lin, Chu-Hsing; Lee, Chen-Yu; Yang, Tzu-Chien; Lai, Shin-Pin |
| 臺大學術典藏 |
2018-09-10T15:35:44Z |
Visible-absorption spectroscopy as a biomarker to predict treatment response and prognosis of surgically resected esophageal cancer
|
Yang, P.-W. and Hsu, I.-J. and Chang, C.-W. and Wang, Y.-C. and Hsieh, C.-Y. and Shih, K.-H. and Wong, L.-F. and Shih, N.-Y. and Hsieh, M.-S. and Hou, M.T.-K. and Lee, J.-M.; MIN-SHU HSIEH; JANG-MING LEE |
| 臺大學術典藏 |
2020-03-05T08:04:04Z |
Visible-absorption spectroscopy as a biomarker to predict treatment response and prognosis of surgically resected esophageal cancer
|
Yang P.-W.; Hsu I.-J.; Chang C.-W.; Wang Y.-C.; Hsieh C.-Y.; Shih K.-H.; Wong L.-F.; Shih N.-Y.; MIN-SHU HSIEH; Hou M.T.-K.; Lee J.-M. |
| 臺大學術典藏 |
2016 |
Visible-absorption spectroscopy as a biomarker to predict treatment response and prognosis of surgically resected esophageal cancer
|
Yang P.-W.; Hsu I.-J.; Chang C.-W.; Wang Y.-C.; Hsieh C.-Y.; Shih K.-H.; Wong L.-F.; Shih N.-Y.; Hsieh M.-S.; Hou M.T.-K.; JANG-MING LEE |
