姓名：李乔亮
职位：副教授，硕士生导师
邮箱：lql@szu.edu.cn

李乔亮，华中科技大学人工智能专业博士，IEEE会员，深圳市高层次人才，广东省医学会人工智能与大数据学组副组长，中国生物医学工程学会人工智能分会首届委员，香港中文大学高级访问****，现任深圳大学体外诊断技术系副系主任,负责组建了中国首个人工智能医学检验创新中心，是人工智能算法在医学诊断领域研究的先行者，主要研究兴趣包括深度学习理论、医学影像、智能化医疗仪器、ASIC嵌入式系统，主持NSFC-深圳联合重点基金、国家自然科学基金、广东省高校优秀青年培育、深圳市学科布局等重点科研项目40余项，在包括IEEE Transactions on Medical Imaging、IEEE Transactions on Biomedical Engineering、IEEE Geoscience and Remote Sensing Letters、Ultrasound in Medicine and Biology等国际顶尖期刊上发表论文120余篇，单篇他引300余次，申请专利30余项，成功研发了全球第一台单芯片智能妇科分泌物分析系统、第一台智能精子分析系统、第一台智能染色体分析系统，致力于将人工智能和医疗健康产业结合，创新技术为人类健康服务。
研究方向
1.深度学习理论
2.医学影像
3.智能化医疗仪器
4.ASIC嵌入式系统
科研项目

1.国家自然科学基金委-深圳联合基金重点项目：眼科微创手术机器人的精确感知与精准操控问题研究(U**)。(国家重点项目)
2.国家自然科学基金：基于血管关键点和旋转不变自相似特征的多模态眼底图像稳健配准研究 (**)。(国家重点项目)
3.深圳市学科布局：恶性血液病细胞图像大数据构建与智能识别关键技术研究。(深圳市重点项目)
4.深圳市基础研究：面向眼底精准激光光凝术的无赤光/造影图像双模配准与GPU实现。
5.深圳市基础研究：基于3D分形神经网络的青光眼OCT视盘精准分割方法研究。
6.深圳市基础研究：婴幼儿视网膜母细胞瘤的B超影像智能量化与治疗跟踪研究。
7.广东省优秀青年培育计划：“基于编码超声的肝脏组织弹性定量测量方法研究”(2012LYM0114)。
8.深圳市生物产业专项：“生殖医学免疫分析仪及配套试剂” (**)。
9.深圳大学设备基金：“生物医学模拟信号分析平台”。
10.深圳大学青年基金：“医学图像配准方法” (201030)。
11.产学研横向合作合作：深圳市菲鹏生物有限公司“免疫荧光测试平台” (**)。
12.产学研横向合作合作：深圳市菲鹏生物有限公司“单通道免疫荧光分析仪” (**)。
13.产学研横向合作合作：深圳市普门科技有限公司“CRP分析仪研制” (**)。
14.产学研横向合作合作：深圳市普门科技有限公司“糖化血红蛋白分析仪研制” (**)。
发表论文

1.Qiaoliang Li, Huishen Zhang, Suwen Qi, Tianfu Wang. “A Cross-modality Learning Approach for Vessel Segmentation in Retinal Images,” IEEE Transactions on Medical Imaging, vol. 20, pp. 1, Jul 2016. (SCI, IF=3.39, JCR Q1)
2.Qiaoliang Li, Huishen Zhang, Suwen Qi, Mingbo Qiu, Xin Chen*, Siping Chen, Tianfu Wang. Continuous Detection of Muscle Aspect Ratio using Keypoint Ttracking in Ultrasonography. IEEE Transactions on Biomedical Engineering, 60(8), pp 2361-2369, 2013. (SCI, IF=2.35, JCR Q1)
3.Qiaoliang Li, Dong Ni, Wanguan Yi, Siping Chen, Tianfu Wang, Xin Chen*.Use of Optical Flow to Estimate Continuous Changes in Muscle Thickness from Ultrasound Image Sequences, Ultrasound in Medicine and Biology, 39(11), pp 2194-2201,2013. (SCI, IF=2.45, JCR Q1)
4.Li, Qiaoliang & He, Zhuoying & Luo, Ruitian & Nie, Tao & Zhang, Quejian & Xu, Ying & Guan, Huimin & Qi, Suwen. (2019). Liquid chromatography combined with patter recognition to detect the metabolic profiling of corn kernels. Food and Agricultural Immunology. 30. 713-726. 10.1080/**.2019.**. (SCI, IF=2.39, JCR Q2)
5.Qiaoliang Li, Shiyu Li, Yajie Wu, Wei Guo, Suwen Qi, Gan Huang, Siping Chen, Zhong Liu, Xin Chen,Orientation-independent Feature Matching (OIFM) for Multimodal Retinal Image Registration,Biomedical Signal Processing and Control,Volume 60,2020,101957,ISSN 1746-8094. (SCI, IF=2.94, JCR Q3)
6.Li, Qiaoliang & Yu, Zhigang & Qi, Suwen & He, Zhuoying & Li, Shiyu & Guan, Huimin. (2020). Inspection of visible components in urine based on deep learning. Medical Physics. 10.1002/mp.14118. (SCI, IF=3.17, JCR Q3)
7.Chen, Xin & Xie, Chenxi & Chen, Zhewei & Li, Qiaoliang. (2019). Automatic Tracking of Muscle Cross‐Sectional Area Using Convolutional Neural Networks with Ultrasound. Journal of Ultrasound in Medicine. 38. 10.1002/jum.14995. (SCI, IF=1.71, JCR Q4)
8.Huang, Bin & Chen, Zhewei & Wu, Po & Ye, Yufeng & Feng, Shi-Ting & Wong, Ching-Yee & Zheng, Liyun & Liu, Yong & Wang, Tianfu & Li, Qiaoliang & Huang, Bingsheng. (2018). Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study. Contrast Media & Molecular Imaging. 2018. 1-12. 10.1155/2018/**. (SCI, IF=1.98, JCR Q3)
9.Li, Qiaoliang & Xu, Yuzhen & Chen, Zhewei & Liu, Dexiang & Feng, Shi-Ting & Law, Martin & Ye, Yufeng & Huang, Bingsheng. (2018). Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network. BioMed Research International. 2018. 1-7. 10.1155/2018/**. (SCI, IF=2.19, JCR Q3)
10.Suwen Qi, Depeng Xu, Qiaoliang Li?, Ni Xie, Qin Huo, Pu Li, Qiwen Chen, Si Huang. Metabonomics screening of serum identifies pyroglutamate as a diagnostic biomarker for nonalcoholic steatohepatitis[J]. Clinica Chimica Acta, 473：89–95, 2017. (SCI, IF=2.92, JCR Q3).
11.Xin Chen, Huiying Wen, Qiaoliang Li, et al., “Identifying transient patterns of in vivo muscle behaviors during isometric contraction by local polynomial regression,” Biomedical Signal Processing and Control, 24, pp 93–102, 2016. (SCI, IF=2.21, JCR Q3)
12.12.Xin Chen, Qiaoliang Li, et al., "Continuous fascicle orientation measurement of medial gastrocnemius muscle in ultrasonography using frequency domain Radon transform,” Biomedical Signal Processing and Control, 20, pp 117–124, 2015. (SCI, IF=1.52, JCR Q3)
13.Suwen Qi,Qiaoliang Li*,Wei Rao,Xinyu Liu,Yin Li,Huisheng Zhang. Determining the Concentration of Procalcitonin Using a Magnetic Particles-based Chemiluminescence Assay for the Clinical Diagnosis of Sepsis. Analytical Sciences, 29(8):805-10,2013. (SCI, IF=1.40, JCR Q4).
14.Huisheng Zhang, Suwen Qi,* Jie Rao, Qiaoliang Li, Li Yin and Yuejun Lu. Development of a rapid and high-performance chemiluminescence immunoassay based on magnetic particles for protein S100B in human serum. Luminescence, 28(6):927-32,2013. (SCI, IF=1.67, JCR Q4).
15.Qiaoliang Li*, Huishen Zhang, Tianfu Wang. Scale Invariant Feature Matching using Rotation-Invariant Distance for Remote Sensing Image Registration. International Journal of Pattern Recognition and Artificial Intelligence, 27(2), pp **-1:18, 2013. (SCI, IF=0.56, JCR Q4)
16.Qiaoliang Li, Suwen Qi, Huishen Zhang, Yun Deng, Xi Chen*, Siping Chen, Tianfu Wang. Continuous thickness measurement of rectus femoris muscle in ultrasound image sequences: A completely automated approach. Biomedical Signal Processing and Control, 8, pp. 792-798, 2013. (SCI, IF=1.07, JCR Q3)
17.Qiaoliang Li*, Huishen Zhang, Tianfu Wang. Multispectral Image Matching using Rotation Invariant Distance. IEEE Geoscience and Remote Sensing Letters, 8(3), pp 406-410, 2011. (SCI, IF=1.82, JCR Q1)
18.Qiaoliang Li*, Guoyou Wang, Jianguo Liu, Shaobo Chen. Robust Scale-Invariant Feature Matching for Remote Sensing Image Registration . IEEE Geoscience and Remote Sensing Letters, 6(2), pp 287-291, 2009.(SCI, IF=1.82, JCR Q1)
19.Zhou, Quan & Qi, Suwen & Xiao, Bin & Li, Qiaoliang & Sun, Zhaohui & Li, Linhai. (2020). Artificial intelligence empowers laboratory medicine in Industry 4.0. Journal of Southern Medical University. 40. 287-296. 10.12122/j.issn.1673-4254.2020.02.23. (EI)
20.Liu, Zhenjie & Xu, Depeng & Li, Tao & Xu, Ning & Li, Qiaoliang & Qi, Suwen. (2019). A Stain Normalization Method for the White Blood Cell Image. 19-23. 10.1109/ICACTM.2019.**. (EI)
21.Qi, Suwen & Nie, Tao & Li, Qiaoliang & He, Zhuoying & Xu, Depeng & Chen, Qiwen. (2019). A Sperm Cell Tracking Recognition and Classification Method. 163-167. 10.1109/IWSSIP.2019.**. (EI)
22.Li, Qiaoliang & Yu, ZhiGang & Qi, Suwen & He, ZhuoYing & Li, ShiYu & Guan, Huimin. (2019). A Recognition Method of Urine Cast Based On Deep Learning. 157-161. 10.1109/IWSSIP.2019.**. (EI)
23.Qi, Suwen & Nie, Tao & Li, Qiaoliang & He, Zhuoying & Xu, Depeng & Chen, Qiwen. (2019). A Sperm Cell Tracking Recognition and Classification Method. 163-167. 10.1109/IWSSIP.2019.**. (EI)
24.Liu, Zhenjie & Xu, Depeng & Li, Tao & Xu, Ning & Li, Qiaoliang & Qi, Suwen. (2019). A Stain Normalization Method for the White Blood Cell Image. 19-23. 10.1109/ICACTM.2019.**. (EI)
25.Xiang, Huagou & Chen, Qiwen & Wu, Yajie & Xu, Depeng & Qi, Suwen & Mei, Jun & Li, Qiaoliang & Liu, Xinyu. (2019). Urine Calcium Oxalate Crystallization Recognition Method Based on Deep Learning. 30-33. 10.1109/ICACTM.2019.**. (EI)
26.Li, Qiaoliang & Wu, Yajie & Mei, Jun & Chen, Qiwen & Xu, Depeng & Qi, Suwen & Ruan, Jie. (2019). A Method of Automatically Calculating Vaginal Cleanliness Degree from Leukorrhoea's Microscope Images. 24-29. 10.1109/ICACTM.2019.**. (EI)
27.Suwen Qi,Hongfei Jia,Zhenyu Li, Yangwei Jiang, Qiaoliang Li*, Huisheng Zhang, Feng Tian. Determination of the Concentration of α-fetoprotein Using an Alexa Fluor-based Fluorescence Immunoassay. BMEI 2015, 852-856,2015. (EI)
28.Qiaoliang Li,Qian Zhang,Linpei Xie, Suwen Qi*,Ping Liang, Huisheng Zhang and Tianfu Wang. Fundus ImageMosaic Based on the SIFT Feature. CISP 2015, 1038-1042,2015. (EI)
29.Qiaoliang Li, et al., “A Supervised Method using Convolutional Neural Networks for Retinal Vessel Delineation,” The 2015 8th International Congress on Image and Signal Processing ,2015.(EI)
30.Qiaoliang Li, et al., “Fundus Image Mosaic Based on the SIFT Feature,” The 2015 8th International Congress on Image and Signal Processing ,2015. (EI)
31.Qiaoliang Li, et al., “Retinal Vessel Landmark Detection Using Deep Learning and Hessian Matrix,” The 2015 8th International Congress on Image and Signal Processing ,2015. (EI)