Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Juicheng Hsieh"'
Autor:
Shengnan Ai, Chengming Wang, Wenxin Zhang, Wenchao Liao, Juicheng Hsieh, Zhenyu Chen, Bin He, Xiao Zhang, Ning Zhang, Ying Gu, Ping Xue
Publikováno v:
IEEE Photonics Journal, Vol 11, Iss 6, Pp 1-11 (2019)
Port wine stain (PWS) is the benign congenital capillary malformation of skin, occurring in 0.3% to 0.5% of the population. In this paper, we build two automated support vector machine (SVM) based classifiers by extracting quantitative features from
Externí odkaz:
https://doaj.org/article/c90cf3e40ca9415683c636bfdd921695
Autor:
Chengming Wang, Yi-Jing You, Shengnan Ai, Wenxin Zhang, Wenchao Liao, Xiao Zhang, Juicheng Hsieh, Ning Zhang, Bihua Tang, Ci-Ling Pan, Ping Xue
Publikováno v:
Journal of Innovative Optical Health Sciences, Vol 12, Iss 2, Pp 1950009-1-1950009-7 (2019)
In most coherent imaging modality, speckle noise is a major cause that blurs the boundary of tissues and degrades the image contrast. By utilizing the unique properties of supercontinuum (SC) generated by noise-like pulses (NLPs) and a simple multi-f
Externí odkaz:
https://doaj.org/article/26f446bbb90f4b7ca6f3e9f2357a496e
Autor:
Wenchao Liao, Ying Gu, Juicheng Hsieh, Xiao Zhang, Weiya Zhang, Ning Zhang, Chengming Wang, Zhenyu Chen, Ping Xue, Shengnan Ai, Bin He
Publikováno v:
IEEE Photonics Journal, Vol 11, Iss 6, Pp 1-11 (2019)
Port wine stain (PWS) is the benign congenital capillary malformation of skin, occurring in 0.3% to 0.5% of the population. In this paper, we build two automated support vector machine (SVM) based classifiers by extracting quantitative features from
Autor:
Zhangkai Peng, Juicheng Hsieh, Ping Xue, Ning Zhang, Bihua Tang, Chengming Wang, Xiao Zhang, Shengnan Ai, Wenchao Liao, Weiya Zhang
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 25:1-7
In optical coherence tomography (OCT), the sample dispersion tends to increase the signal width and hence lower down the resolution, resulting in serious image quality degradation, especially for imaging over a large depth range or media with large d
Autor:
Weiya Zhang, Ning Zhang, Juicheng Hsieh, Chengming Wang, Zhengyu Chen, Bin He, Shengnan Ai, Zhangkai Peng, Wenchao Liao, Bihua Tang, Xiao Zhang, Ping Xue
Publikováno v:
Optics in Health Care and Biomedical Optics IX.
Autor:
Ning Zhang, Chengming Wang, Weiya Zhang, Juicheng Hsieh, Shennan Ai, Wenchao Liao, Ping Xue, Xiao Zhang
Publikováno v:
Optics letters. 44(8)
For all imaging techniques, such as optical coherence tomography (OCT), fast imaging speed is always of high demand. Optical computing OCT (OC2T) has achieved ultrahigh speed for real time 3D imaging without post data processing, but its spatial reso
Autor:
Weiya Zhang, Ning Zhang, Zhengyu Chen, Zhangwei Hu, Juicheng Hsieh, Bin He, Ping Xue, Shengnan Ai, Chengming Wang, Wenchao Liao, Xiao Zhang
Publikováno v:
Optics Express. 29:305
Data-processing techniques in spectroscopy are fundamental and powerful analytical tools for lots of practical applications. In the age of big data, high-speed data-processing in spectroscopy is in urgent need, especially for the real-time analysis/f
Autor:
Chengming Wang, Juicheng Hsieh, Ping Xue, Xiao Zhang, Qin Li, Shengnan Ai, Rui Li, Zhengyu Chen, Bin He, He Yin, Jiaying Hong
Publikováno v:
Journal of Physics D: Applied Physics. 53:39LT02
Autor:
Weiya Zhang, Jiaying Hong, Chengming Wang, He Yin, Qin Li, Juicheng Hsieh, Shengnan Ai, Rui Li, Xiao Zhang, Ping Xue
Publikováno v:
Optics Express. 28:17232
Traditional ghost imaging applies correlated algorithms to reconstruct the image of an object. However, it fundamentally requires some spatial distributions of the correlated light beam, e.g. random illumination, which hardly exists in reality. Here,
Autor:
Weiya Zhang, Shennan Ai, Zhangkai Peng, Chengming Wang, Xiao Zhang, Juicheng Hsieh, Ping Xue, Wenchao Liao
Publikováno v:
International Conference on Photonics and Imaging in Biology and Medicine.