个人简介
陈再良，男，工学博士，中南大学计算机学院副教授，硕士生导师。2012年5月毕业于中南大学计算机科学与技术专业，获博士学位。2014年8月至2015年8月美国斯蒂文斯理工学院访问学者，中国计算机学会计算机视觉专委会委员，中国图象图形学学会机器视觉专委会和视觉大数据专委会委员，CCF高级会员。主要研究方向为计算机视觉、医学图像处理、医学大数据分析、视觉定位、机器学习等。
主持完成国家自然科学基金2项，湖南省自然科学基金2项；参与国家自然科学基金3项，参与湖南省自然科学基金2项以及与企业合作的横向课题；在包括ECCV、Pattern Recognition、MICCAI上发表学术论文40余篇，授权发明专利15项；获湖南省自然科学二等奖(2018年），中国自动化学会科技进步奖二等奖（2023年），担任CVPR、ECCV、MICCAI、CIBM等国际学术会议和期刊审稿人，教育部学位论文通讯评审、省科技项目通讯评审。
教学及人才培养工作：主讲本科生《数据结构》和《数据库原理》课程，担任中南大学程序设计竞赛总教练。获国家级教学成果奖二等奖（2023年），湖南省高等教育教学成果一等奖（2022年）、中国图像图形学学会高等教育教学成果奖二等奖（2022年）、中南大学教育基金会奖励金茅以升优秀教师奖（2021年），湖南省计算机学会高等教育教学成果奖特等奖（2020年）、湖南省高等教育教学成果一等奖（2019年）等，多次荣获中南大学学科竞赛优秀指导教师。
招收计算机、大数据、软件工程等专业研究生，欢迎对计算机视觉、医学图像处理、机器学习等领域感兴趣的同学加入实验室，请提前联系！欢迎与同行老师和企业交流合作！联系方式：xxxyczl@163.com。
科研项目
1.国家自然科学基金，61440055，复杂背景图像中的协同显著对象检测及其在目标识别中的应用，结题，主持
2.国家自然科学基金，61672542，视网膜OCT图像分割及RNFL定量分析，结题，主持
3.湖南省自然科学基金，2021JJ30865，基于OCT图像的典型视网膜疾病病灶定量分析及辅助评估，在研，主持
4.国家自然科学基金，61972419，基于多模态图像筛板特征的早期青光眼筛查方法研究，在研
5.湖南省自然科学基金，2020JJ4120，基于OCT图像的青光眼筛查方法，结题
论文成果
(1) Hailan Shen, Zheng Tang, Yajing Li, Xuanchu Duan, Zailiang Chen*. HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervisedpretext task and dual consistency training[J]. Pattern Recognition, 2024,151:110429.
(2) Wanqing Xiong, Zailiang Chen, Qing Liu, Wenjia Wu, Jian Zhang, Hailan Shen. PACAS-WAA: Patch-based contrastive semi-supervised learning with wavelet guidance and adaptive augmentation for tumour segmentation[C]. ICASSP 2024:12941-12945.
(3) Zailiang Chen, Jiang Zhu, Hailan, Shen, Hui Liu, Yajing Li, Rongchang Zhao, Feiyang Yu. Geometry-adaptive network for robust detection of placenta accreta spectrum disorders[C]. MICCAI 2023:43-53.
(4) Zailiang Chen, Yazheng Hou, Hui Liu, Ziyu Ye, Rongchang Zhao, Hailan Shen. FDCT: Fusion-guided dual-view consistency training for semi-supervised tissue segmentation on MRI[J]. Computers in Biology and Medicine, 2023, 160: 106908.
(5) Hailan Shen, Qiao Yang, Zailiang Chen*, Ziyu Ye, Peishan Dai, Xuanchu Duan. Semi-supervised OCT lesion segmentation via transformation-consistent with uncertainty and self-deep supervision[J]. Biomedical Optics Express, 2023, 14(7): 3828-3840.
(6) Peishan Dai, Tong Xiong, Xiaoyan Zhou, Yilin Ou, Y. Li, Xiaoyan Kui, Zailiang Chen, Beiji Zou, Weihui Li, Zhongchao Huang. The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data[J]. Behavioural Brain Research, 2022, 435: 114058.
(7) Yilin Ou, Peishan Dai, Xiaoyan Zhou, Tong Xiong, Y. Li, Zailiang Chen, Beiji Zou. A strategy of model space search for dynamic causal modeling in task fMRI data exploratory analysis[J]. Physical and Engineering Sciences in Medicine, 2022, 45(3): 867-882.
(8) Yongan Meng, Hailei Lan, Yuqian Hu, Zailiang Chen, Pingbo Ouyang, Jing Luo. Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia[J]. Journal of Diabetes Research, 2022:4612554.
(9) Zailiang Chen, Yuchen Xiong, Hao Wei, Rongchang Zhao, Xuanchu Duan, and Hailan Shen. Dual-consistency semi-supervision combined with self-supervision for vessel segmentation in retinal OCTA images[J], Biomedical Optics Express, 2022, 13(5):2824-2834.
(10) Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao. Marginal Samples for Knowledge Distillation[J], Neurocomputing, 2022.
(11) Ping Jiang, Xiaoheng Deng, Leilei Wang, Zailiang Chen, Shichao Zhang. Hypergraph Representation for Detecting 3D Objects from Noisy Point Clouds[J], Transactions on Knowledge and Data Engineering, 2022,35(7):7016-7029.
(12) Zailiang Chen, Hailei Lan, Yongan Meng, Yuchen Xiong, Jing Luo, Hailan Shen. FAZ-BV: A Diabetic Macular Ischemia Grading Framework Combining FAZ Attention Network and Blood Vessel Enhancement Filters[C]. ICASSP 2022:1266-1271.
(13) Zailiang Chen, Yuqi Liu, Hailan Shen, Tianhao Luo, Rongchang Zhao. A Pair-metamorphosis-decouple Synthetic Data Scheme for Color Fundus Image Registration[C]. ICME 2022:1-6.
(14) Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li. Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning [J], Medical Image Analysis, 2022, 75:102295.
(15) Yajing Li, Junhua Li, Zailiang Chen, Hailan Shen. ED-AnoNet: elastic distortion-based unsupervised network for OCT image anomaly detection[C], PRCV 2022,LNCS 13535:3-15.
(16) Yukun Zhou, Zailiang Chen, Hailan Shen, Xianxian Zheng, Rongchang Zhao, Xuanchu Duan. A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation, Neurocomputing,, 2021, 437: 118-130.
(17) Hao Wei, Hailan Shen, Junhua Li, Rongchang Zhao, Zailiang Chen*. AneNet: A Lightweight Network for the Real-time Anemia Screening from Retinal Vessel Optical Coherence Tomography Images[J], Optics and Laser Technology, 2021, 136：106773.
(18) Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu.Ground truth free retinal vessel segmentation by learning from simple pixels. IET Image Process. 2021,15(6): 1210-1220.
(19) Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao. Improving Knowledge Distillation via Category Structure, ECCV 2020:205-219.
(20) Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li. EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis, ECCV 2020, p190-205.
(21) Zailiang Chen, Dabao Li, Hailan Shen, Yufang Mo, Ziyang Zeng, Hao Wei. Automated Segmentation of Fluid Regions in Optical Coherence Tomography B-scan Images of Age-related Macular Degeneration[J], Optics and Laser Technology, 2020, 122: 105830.
(22) Zailiang Chen, Ziyang Zeng, Hailan Shen, Xianxian Zheng, Peishan Dai, Pingbo Ouyang. DN-GAN: Denoising Generative Adversarial Networks for Speckle Noise Reduction in Optical Coherence Tomography Images[J]. Biomedical Signal Processing & Control, 2020, 55: 101632.
(23) Rongchang Zhao, Xuanlin Chen, Xiyao Liu, Zailiang Chen, Guo Fan, Li Shuo*. Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-supervised Learning, IEEE Journal of Biomedical and Health Informatics, 2020, 24(4):1104-1113.
(24) Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou. A spatial-aware joint optic disc and cup segmentation method[J], Neurocomputing, 2019, 359: 285-297.
(25) Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li. Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning[C]. MICCAI 2019,p21-29.
(26) Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Qing Liu, Zhuo Li. Combination of enhanced depth imaging optical coherence tomography and fundus images for glaucoma screening[J], Journal of Medical Systems, 2019, 43(6):163.
(27) Zailiang Chen, Dabao Li, Hailan Shen, Yufang Mo, Hao Wei, Pingbo Ouyang. Automated Retinal Layer Segmentation in OCT Images of Age-related Macular Degeneration[J], IET Image Processing, 2019, 13(11): 1824-1834.
(28) Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li. Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis [C]. AAAI 2019,p809-816.
(29) Zailiang Chen, Yufang Mo, Pingbo Ouyang, Hailan Shen, Dabao Li, Rongchang Zhao. Retinal Vessel Optical Coherence Tomography Images for Anemia Screening[J], Medical & Biological Engineering & Computing, 2019, 57(4): 953-966.
(30) Zailiang Chen, Peng Peng, Hailan Shen, Hao Wei, Pingbo Ouyang, Xuanchu Duan. Region-Segmentation Strategy for Bruch’s Membrane Opening Detection in Spectral Domain Optical Coherence Tomography Images[J], Biomedical Optics Express, 2019, 10(2): 526-538.
(31) Chen Zailiang, Wei Hao, Shen Hailan, Peng Peng, Yue Kejuan, Li Jianfeng, Zou Beiji. Intraretinal layer segmentation and parameter measurement in optic nerve head region through energy function of spatial-gradient continuity constraint[J], Journal of Central South University, 2018, 25(8): 1938-1947.
(32) Kejuan Yue, Beiji Zou, Zailiang Chen, Qing Liu. Improved multi-scale line detection method for retinal blood vessel segmentation[J]. IET Image Processing, 2018, 12(8): 1450-1457.
(33) Beiji Zou, Changlong Chen, Chengzhang Zhu, Xuanchu Duan, Zailiang Chen.Classified optic disc localization algorithm based on verification model. Comput. Graph.2018,70: 281-287
(34) Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen*, Guoying Zhao. A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images[J]. Computerized Medical Imaging and Graphics, 2017, 55: 78-86.
(35) Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Zailiang Chen, and Guoying Zhao, Hierarchical Contour Closure based Holistic Salient Object Detection. IEEE Transactions on Image Processing, 2017, 26(9): 4537-4552.
(36) Zailiang Chen, Peng Peng, Beiji Zou, Hailan Shen, Hao Wei, Rongchang Zhao. Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint[J]. Journal of Computer Science and Technology, 2017, 32(6): 1214-1221.
(37) Beiji Zou, Qing Liu, Zailiang Chen*, Shijian Liu, Xiaoyun Zhang. Saliency detection using boundary information[J]. Multimedia Systems, 2016, 22(2): 245-253.
(38) Zailiang Chen, Huajie Huang, Hailan Shen, Beiji Zou, Jiang Wang. Region of Interest Extraction Based on Visual Salience and Visual Evaluation，International Journal of Autonomous and Adaptive Communications Systems，2016,9(2): 57-70.
(39) Wu Hui, Zou Beiji, Zhao Yuqian, Chen Zailiang, Zhu Chengzhang, Guo Jianjing. Natural scene text detection by multi-scale adaptive color clustering and non-text filtering[J]. Neurocomputing, 2016, 214(19): 1011-1025.
著作成果
[1]邹北骥，黄霞，陈再良.C语言程序设计教程（国家示范性高等院校十二五精品规划教材），天津大学出版社，2015.