个人简介
李宇昕,1990年生,工学博士。现为美高梅mgm1888讲师。分别于2012年和2018年在华中科技大学获得计算科学与技术学士学位和光学工程博士学位。主持国家自然科学基金青年基金、陕西省教育厅基金、国家重点实验室开放基金等项目,发表学术论文二十余篇。曾获2020-2021年度“黄家驷生物医学工程奖”技术发明一等奖(7/8)。
主要研究方向:生物医学图像处理、神经图像大数据可视化与分析。
电子邮箱:liyuxin@xaut.edu.cn
每年招收1-2名硕士研究生。欢迎对生物医学图像处理分析、脑科学感兴趣的同学加入课题组。
主要科研项目
国家自然科学基金青年科学基金,82102137,基于像素重编码的全脑介观图像实时可视化方法研究,2022-2024,主持
武汉光电国家研究中心开放基金,2021WNLOKF006,介观尺度荧光小鼠全脑血管重建方法研究,2022-2024,主持
代表性成果(#Co-first author; *Corresponding author)
Li Yuxin*, Liu Xuhua, Jia Xueyan, Jiang Tao, Wu Jianghao, Zhang Qianlong, Li Junhuai, Li Xiangning, Li Anan*. A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution. Bioinformatics, 2023, 39(4): btad145.
Zhou Hang, Li Yuxin*, Chen Bolun, Yang Hao, Zou Maoyang, Wen Wu, Ma Yayu, Chen Min. Registration-free 3D super-resolution generative deep-learning network for fluorescence microscopy imaging. Optics Letters, 2023, 48(23): 6300-6303.
Li Yuxin, Ren Tong, Li Junhuai, Li Xiangning, Li Anan*. Multi-perspective label based deep learning framework for cerebral vasculature segmentation in whole-brain fluorescence images. Biomedical Optics Express, 2022, 13(6): 3657-3671.
Li Yuxin, Ren Tong, Li Junhuai, Wang Huaijun, Li Xiangning, Li Anan*. VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images. Computer Methods and Programs in Biomedicine, 2022, 214: 106567.
Li Yuxin, Gong Hui, Yang Xiaoquan, Yuan Jing, Jiang Tao, Li Xiangning, Sun Qingtao, Zhu Dan, Wang Zhenyu, Luo Qingming, Li Anan*. TDat: an efficient platform for processing petabyte-scale whole-brain volumetric images. Frontiers in neural circuits, 2017, 11: 51.
Quan Tingwei, Zhou Hang, Li Jing, Li Shiwei, Li Anan, Li Yuxin, Lv Xiaohua, Luo Qingming, Gong Hui*, Zeng Shaoqun*. NeuroGPS-Tree: automatic reconstruction of large-scale neuronal populations with dense neurites. Nature Methods, 2016, 13(1): 51-54.
Gong Hui#, Xu Dongli#, Yuan Jing, Li Xiangning, Guo Congdi, Peng Jie, Li Yuxin, Schwarz Lindsay A., Li Anan, Hu Bihe, Xiong Benyi, Sun Qingtao, Zhang Yalun, Liu Jiepeng, Zhong Qiuyuan, Xu Tonghui, Zeng Shaoqun, Luo Qingming*. High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level. Nature Communications, 2016, 7: 12142.
荧光显微光学切片断层成像关键技术及应用,2020-2021年度“黄家驷生物医学工程奖”技术发明一等奖,骆清铭; 龚辉; 李安安; 袁菁; 李向宁; 江涛; 李宇昕; 丰钊