濮黄生

研究方向：

1、光学分子影像三维成像方法

2、医学影像人工智能分析方法

3、超分辨荧光显微成像技术

4、肿瘤等病变的早期诊疗技术

学术成就：

主持和参与国家重点研发计划、国家自然科学基金、省部级基础研究项目以及院系项目多项。以第一作者和主要作者在ACSAppl.Mater.Interfaces /IEEE Trans.Med.Imaging /IEEE Trans.Biomed.Eng. /IEEE Access /Opt. Express /Biomed.Opt.Express /Opt.Lett. /Phys.Med.Biol /Appl.Phys.Lett.等期刊上发表近20篇论文。现任职中国生物医学工程学会会员、湖南省光学学会会员。

代表论文：

1. C. Zhou#*, C. Lu#, H. Pu#, D. Li, L. Zhang*, TRAF6 promotes IL-4-induced M2 macrophage activation by stabilizing STAT6, Mol. Immunol., 2020.09, 127: 223-229.

2. H. Pu#, P. Gao#, Y. Liu#, J. Rong, F. Shi*, and H. Lu*, “Principal component analysis based dynamic cone beam X-ray luminescence computed tomography: a feasibility study, ” IEEE Trans. Med. Imaging, 2019, 38(12): 2891–2902.

3. T. Liu#, J. Rong#, P. Gao, H. Pu, W. Zhang, X. Zhang, Z. Liang, and H. Lu*, “Regularized reconstruction based on joint L1 and total variation for sparse-view cone-beam X-ray luminescence computed tomography, ” Biomed. Opt. Express, 2019, 10(1):1–17.

4. W. Liu, P. Gao, Y. Zhang, T. Liu, H. Pu, J. Rong*, and H. Lu*, “Full Dose CT Database Induced Reconstruction with Nonlocal Means Prior for Ultra-low-dose Lung CT: a Preliminary Study, ” IEEE Access, 2019, 7: 154346–154359.

5. H. Pu, P. Gao, J. Rong, W. Zhang, T. Liu, and H. Lu*, “Spectral-resolved cone-beam X-ray luminescence computed tomography with principle component analysis,” Biomed. Opt. Express, 2018, 9(6): 2844–2858