个人信息
教师姓名:陈再良

学位:博士学位

学历:博士研究生毕业

职称:副教授

所在单位:计算机学院

学术荣誉: 曾获荣誉:
个人简介

主要研究方向

计算机视觉,医学图像计算,医学大数据分析,机器学习

 

个人简介

工学博士,副教授,硕士生导师。主要研究方向为计算机视觉、医学图像处理、医学大数据分析和机器学习。美国斯蒂文斯理工学院访问学者。

主持国家自然科学基金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;授权发明专利15项,发表论文40余篇,其中顶会5篇,SCI期刊30余篇。

担任中南大学大学生程序设计竞赛总教练,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委员、中国图象图形学学会视觉大数据专委会委员。

 

奖励荣誉

指导学生中,彭鹏获2019年度国家奖学金;彭鹏获2020年度湖南省优秀毕业生荣誉称号;郑贤先获2020年度校长创新奖学金;蓝海磊获2022年度国家奖学金

2023年中国自动化学会科技进步奖二等奖

2022年湖南省高等教育教学成果奖一等奖

2021年中南大学高等教育教学成果奖一等奖

中南大学2021年度教育基金会奖励金教师奖——茅以升教学奖励金

2020年湖南省计算机学会高等教育教学成果奖特等奖

2019年湖南省高等教育教学成果奖一等奖

中南大学2019年学科竞赛优秀指导负责教师

2017年度湖南省自然科学奖二等奖

中南大学2017年高等教育教学成果一等奖

中南大学2017年创新创业教育优秀个人

ICPC亚洲区赛金奖

 

科学研究

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

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

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

湖南省自然科学基金,2020JJ4120,基于OCT图像的青光眼筛查方法,在研

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


发表的部分论文

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.


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.


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.


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.


Peishan Dai, Da Lu, Yunchang Shi, Ying Zhou, Tong Xiong, Xiaoyan Zhou, Zailiang Chen, Beiji Zou, Hui Tang, Zhongchao Huang, Shenghui Liao. Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data[J]. Journal of Affective Disorders, 2023, 339: 511-519.

 

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.

 

Peishan Dai, Xiaoyan Zhou, Tong Xiong, Yilin Ou, Zailiang Chen, Beiji Zou, Weihui Li, Zhongchao Huang. Altered effective connectivity among the cerebellum and cerebrum in patients with major depressive disorder using multisite resting-state fMRI[J]. The Cerebellum, 2022: 1-9.

 

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.

 

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.

 

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.

 

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.


Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao. Marginal Samples for Knowledge Distillation[J], Neurocomputing, 2022.


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.


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.

 

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.


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.


Yajing Li, Junhua Li, Zailiang Chen, Hailan Shen. ED-AnoNet: elastic distortion-based unsupervised network for OCT image anomaly detection[C], PRCV 2022.


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.


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, 136106773.


Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao. Improving Knowledge Distillation via Category Structure, ECCV 2020.

 

Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li. EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis, ECCV 2020.

 

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.

 

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.

 

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.

 

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.

 

Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li. Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning[C]. MICCAI 2019.

 

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.

 

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.

 

Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li. Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis [C]. AAAI 2019.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

Beiji Zou, Qing Liu, Zailiang Chen*, Shijian Liu, Xiaoyun Zhang. Saliency detection using boundary information[J]. Multimedia Systems, 2016, 22(2): 245-253.

 

Zailiang Chen, Huajie Huang, Hailan Shen, Beiji Zou, Jiang Wang. Region of Interest Extraction Based on Visual Salience and Visual EvaluationInternational Journal of Autonomous and Adaptive Communications Systems2016,9(2): 57-70.

 

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.

 

教学工作

本科生教学:数据结构,数据库原理;研究生教学:数据科学导论


联系方式

xxxyczl@163.com


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