·学习经历:
1997.9-2000.3 瑞士伯尔尼大学生物力学研究所博士后,师从Nolte LP 教授
1987.1-1990.9 华中科技大学工业自动化专业博士生,师从陈锦江教授
1984.9-1986.12 哈尔滨工业大学自动控制理论及应用硕士生,师从王广雄教授
1980.9-1984.8 湖南大学电磁测量及仪表专业攻读学士学位
·工作经历:
1990.9-1996.5 第一军医大学全军医学图像重点实验室讲师、副教授、正教授(1997年12月晋升)
1996.6-2000.3 瑞士伯尔尼大学客座科学家、博士后
2000.3-2006.12 新加坡科技局生物医学影像研究所副研究员、研究员、高级研究员与项目主管,新加坡国立大学双聘研究生导师
2006.12-2023.10 中国科学院深圳先进技术研究院三级研究员、二级研究员、医学图像与数字手术研究室主任、深圳先进技术研究院首届党委委员
2023.11- 深圳理工大学生物医学工程学院特聘讲席教授
·所获荣誉
两次荣获全军科技进步二等奖,三次荣获全球医学影像界最具影响力的北美放射学会(RSNA)年会奖、一次荣获美国神经放射学会年会一等奖
1.Nowinski WL, Qian GY, BhanuPrakash KN, Volkau I, Huang S,Hu QM, Gupta V, Liu JM, Leong WK, Thirunavuukarasuu A, Ananthasubramaniam A, Parimal AS, Ng TT, Bilello M, Beauchamp NJ. A CAD system for stroke MR and CT. Merit, 92nd Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2006.
2.Nowinski WL, Qian GY, Prakash BKN, Volkau I, Ananthasubramaniam A,Hu QM. Atlas-assisted MR stroke image interpretation by using anatomical and blood supply territories atlases. Merit, 91st Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2005.
3.Nowinski WL, Volkau I, Baimouratov R, Thirunavuukarasuu A,Hu QM, Luo SH, Huang S, Runge V. A reference atlas of cerebral vasculature. Magna Cum Laude, American Society of Neuroradiology (ASNR) 2005
4.Nowinski WL, Thirunavuukarasuu A, Baimouratov R, Volkau I,Hu QM, Aziz A. A combined anatomical-vascular 3D brain atlas. Merit, 89th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2003.
5.胡庆茂,贾钰华,赵克森,王东辉,李建光,郭文明,李树祥.有晃动的甲皱图像配准研究及微循环参数测试系统研制.1995年全军科技进步二等奖.
6.李树祥,赵克森,胡庆茂,徐尚平,姜勇,王东辉,骆力,陈锋,黄绪亮.YK-MICAS微循环图像计算机分析系统.1993年全军科技进步二等奖.
·科研成果
·承担国家自然科学基金-广东联合基金重点项目“大脑胶质瘤的多模态图像智能分析与虚拟手术关键科学问题研究”、中国科学院百人计划“脑卒中诊疗的医学图像分析关键技术研究”等项目。
·在影像分析方面的主流期刊Brain、Medical Image Analysis、IEEE Transactions on Image Processing、Computer Methods and Programs in Biomedicine、NeuroImage、Human Brain Mapping等发表SCI论文100余篇(*表示通讯作者)
1.Xu JP, Luo YH, Peng KQ, Guo YM, ZhongLC, Liu Y, Weng A, Ou ZL, Yan ZC, Wang Y, Zeng JS, Zhang WX,Hu QM*, Liu G*. Supplementary motor area driving changes of structural brain network in blepharospasm.Brain2023;146(4):1542-53 (IF=14.5).
2.Xu JP, Guo YY, Li JY, Lv XY, Zhang JJ, Zhang JH,Hu QM*, Wang K*, Tian YH*. Progressive cortical and sub-cortical alterations in patients with anti-N-methyl-D-aspartate receptor encephalitis.Journal of Neurology2022;269: 389-98(IF=6.0).
3.SuLYL, Fu XJ,Hu QM*. Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment.Computer Methods and Programs in Biomedicine2021; 212: 106456 (IF = 6.1).
4.Xu JP, Lyu HQ, Li T, Xu ZY, Fu XJ, Jia FC, Wang JJ*,Hu QM*. Delineating functional segregations of the human middle temporal gyrus with resting-state functional connectivity and coactivation patterns.Human Brain Mapping2019; 40(18): 5159-71 (IF = 4.8).
5.Wang CM, Elazab A, Wu JH,Hu QM*. Lung nodule classification using deep feature fusion in chest radiography.Computerized Medical Imaging and Graphics2017; 57: 10-18(IF=5.7).
6.Hu QM*, Xue J, Gao PY, Zheng HM. Mismatch between baseline diffusion-weighted images and apparent diffusion coefficient maps predicts favourable penumbra: a retrospective study.Lancet2015; 386 (Supp 1): S37 (IF =168.9).
7.Zhou SJ, Chen WF*, Jia FC,Hu QM*, Xie YQ, Chen MY, Wu JH. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient.Medical Image Analysis2013; 17:1220-1235(IF=10.9).
8.Qiao Y,Hu QM, Qian GY, Luo SH, Nowinski WL. Thresholding based on variance and intensity contrast.Pattern Recognition2007; 40(2): 596-608 (IF = 8.0,第一作者是指导的博士后).
9.Hu QM*, Hou ZJ, Nowinski WL. Supervised range-constrained thresholding.IEEE Transactions on Image Processing2006; 15(1): 228-240 (IF = 10.6).
10.Hu QM, Nowinski WL*. A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal. Neuroimage2003; 20(4): 2154-2166 (IF =5.7).
·历经10年编著 “数字图像处理与分析”新教材(2023年9月由科学出版社出版)以解决国内外该教材的时效性(全面涵盖经典方法、现代方法及深度学习方法)与系统性(立足于学科的系统体系)。