CAO, Guogang (Ph.D.)

Associate Professor of Engineering

Faculty of Intelligence Technology

Shanghai Institute of Technology

Email: guogangcao(at)163.com; caoguogang(at)sit.edu.cn

Personal profile: https://iaai-sit.github.io/Cao/

or https://fit.sit.edu.cn/2025/0428/c17198a231277/page.htm (in Chinese)

Research interests

Medical Image Processing & Analysis, Medical Artificial Intelligence

Deep Learning, Computer Vision, Optimization Algorithm

穿着蓝色运动服的男人 描述已自动生成

Work Experience

Dec. 2014 - Now

Shanghai Institute of Technology

 

Faculty of Intelligence Technology &
School of Computer Science and Information Engineering

Associate Professor of Engineering

Jan. 2007 - Dec. 2014

Shanghai Shipeng Laboratory Co., Ltd.& GammaStar Medical Group

 

R&D Center, Assistant Chief Engineer

Mar. 2003 - Dec. 2014

Shanghai Eastimage Equipment Co., Ltd.

 

Medical Products Group, Director of Software Development

May 2002 - Mar. 2003

Shenzhen Mindray Biomedical Electronics Co., Ltd

 

US Department, R&D Engineer

Education

 

Mar. 2005 - Oct. 2010

Southeast University, Nanjing, China

 

Ph.D. in Biomedical Engineering

Sept. 1999 - Mar. 2002

Southeast University, Nanjing, China

 

Master in Biomedical Engineering

Sept. 1995 - Jul. 1999

Southeast University, Nanjing, China

 

Bachelor in Electronic and Information Engineering

Publications

1. Cao, G., Yang, Z., Liang, W., Zhang, S., Zhong, T., Mao, H., Wang, D., Zong, M. LCMF-Net: A Lightweight Collaborative Multimodal Fusion Network for Brain Tumor Segmentation[J]. Neural Networks, 2026(195): 108257. https://doi.org/10.1016/j.neunet.2025.108257 (IF 6.3)

2. Guogang Cao, Zeyu Peng, Zhilin Zhou, Yan Wu, Yunqing Zhang, Rugang Yan. Multi-task OCTA image segmentation with innovative dimension compression, Pattern Recognition, 2025(159), 111123, https://doi.org/10.1016/j.patcog.2024.111123. (IF 7.5)

3. Guogang Cao, Zhilin Zhou, Yan Wu, Zeyu Peng, Rugang Yan, Yunqing Zhang, Bin Jiang. GCN-Enhanced Spatial-Spectral Dual-Encoder Network for Simultaneous Segmentation of Retinal Layers and Fluid in OCT Images[J]. Biomedical Signal Processing and Control, 2024, 98,106702, https://doi.org/10.1016/j.bspc.2024.106702. (IF 4.9)

4. Guogang Cao, Yan Wu, Zeyu Peng, Zhilin Zhou, Cuixia Dai. Self-Attention CNN for Retinal Layer Segmentation in OCT[J]. Biomedical Optics Express, 2024, 15(3): 1605-1617. https://doi.org/10.1364/BOE.510464. (IF 3.4)

5. Jiaqing Zhao, Jianfeng Zhu, Jiangnan He, Guogang Cao, and Cuixia Dai. Multi-label classification of retinal diseases based on fundus images using Resnet and Transformer[J]. Medical & Biological Engineering & Computing (2024). https://doi.org/10.1007/s11517-024-03144-6. (IF 2.6，Corresponding Author)

6. Jiaqing Zhao, Guogang Cao, Jiangnan He, Cuixia Dai. Multi-class classification of pathological myopia based on fundus photography[J], Journal of Innovative Optical Health Sciences (2024), https://doi.org/10.1142/S1793545824500160. (IF 2.3)

7. Guogang Cao, Sicheng Li, Shu Zhang, Zeyu Peng, Yan Wu, Dong Wang, And Cuixia Dai. Improved FAST Algorithm for Non-Uniform Rotational Distortion Correction in OCT Endoscopic Imaging. Optics Express, 2023, 31(2): 2754. https://doi.org/10.1364/OE.474955. (IF 3.4)

8. Song, Zishen, Dong Wang, Lizhong Xiao, Yongjian Zhu, Guogang Cao, and Yuli Wang. 2023. DaylilyNet: A Multi-Task Learning Method for Daylily Leaf Disease Detection. Sensors, 2023, 23(18): 7879. https://doi.org/10.3390/s23187879. (IF 3.9)

9. G Cao, Z Peng, Y Wu, Y Zhang, R Yan, Z Zhou. FPS-Net: A vessel segmentation method that flattens and projects OCTA volume data[C]. ICIIBMS 2023, Shanghai, China. (EI)

10. G Cao, Y Wu, Z Peng, Z Zhou. Retinal OCT image layer segmentation based on attention mechanism[C]. ICIIBMS 2023, Shanghai, China. (EI)

11. Z Zhilin, W Yan, P Zeyu, Z Yunqing, Y Rugang, C Guogang. Dual Attention Network for Retinal Layer and Fluid Segmentation in OCT[C]. ICIIBMS 2023, Shanghai, China. (EI, Corresponding Author)

12. Xiyao Qiang, Xiangning Wang, Qiang Wu, Guogang Cao, Jiaqing Zhao, Cuixia Dai. Vessel segmentation and quantification in ultra-wide-field OCTA images[C]. PIBM 2023 Volume 12745(41-49)

13. Cao G, Zhang S, Mao H, Wu Y, Wang D, Dai C. A single-step regression method based on transformer for retinal layer segmentation. Phys. Med. Biol. 2022, 67(15): 145008. https://doi.org/10.1088/1361-6560/ac799a. (IF 4.174)

14. Hongdong, M., Guogang, C., Shu, Z. et al. Multi-scale organs image segmentation method improved by squeeze-and-attention based on partially supervised learning. Int J CARS 17, 1135 - 1142 (2022). https://doi.org/10.1007/s11548-022-02632-0. (IF 3.421, Corresponding Author)

15. B. Dong, X. Wang, X. Qiang, F. Du, L. Gao, Q. Wu, G. Cao, C. Dai, A Multi-Branch Convolutional Neural Network for Screening and Staging of Diabetic Retinopathy Based on Wide-Field Optical Coherence Tomography Angiography, IRBM, 2022, https://doi.org/10.1016/j.irbm.2022.04.004. (IF 1.856, Co-Corresponding Author)

16. Guogang Cao, Yijie Wang, Xinyu Zhu, Mengxue Li, Xiaoyan Wang, Ying Chen. Segmentation of Intracerebral Hemorrhage Based on Improved U-Net. Journal of imaging science and technology, 65(3): 030405-1-030405-7, 2021.( IF 0.4)

17. Guogang Cao, Shunkun Liu, Shu Zhang, Yin Chen. Improved CycleGAN for MR to CT synthesis. ICIIBMS 2021.Okinawa, Japan.

18. Deqing Kong, Guogang Cao*, Wenjv Li, et al. 2D3D Medical Image Registration Based on Fully Convolutional Network Approved by Attention Mechanism. ICIIBMS 2021. Okinawa, Japan. (EI, Corresponding Author)

19. Hongdong Mao, Guogang Cao*, Shu Zhang, Shunkun Liu, Deqing Kong, Zeyu Peng, Ying Chen, Cuixia Dai. A fully automatic CT images segmentation method for organs at risk in head and neck. International Conference on Intelligent Informatics(ICIIBMS), 2021.Okinawa,Japan. (EI, Corresponding Author)

20. Bowen Dong, Xiangning Wang, Guogang Cao, Lei Gao, Fengxian Du, Qiang Wu, and Cuixia Dai "A convolutional neural network for screening and staging of diabetic retinopathy based on wide-field optical coherence tomography angiography", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 1190028 (9 October 2021); https://doi.org/10.1117/12.2601354

21. Gao Lei, Song Yuting, Qi Zhang, Ruiming Kong, Zhuoquan Chen, Guogang Cao, Teng Ma, and Cuixia Dai "Endoscope optical coherence tomography angiography using proximal scanning catheter", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 119001E (9 October 2021); https://doi.org/10.1117/12.2601569

22. Guogang Cao, Yijie Wang, Xinyu Zhu, Mengxue Li. Segmentation of Intracerebral hemorrhages based on Improved U-Net, International Conference on Computer Engineering and Information Processing (CEIP, 2020) Hangzhou, China.

23. ZHU Xinyu, WANG Ziyi, CAO Guogang* et. Chaotic brain storm optimization algorithm in objective space for Medical image registration. Bioinformatics, Medical Imaging and Neuroscience (ICIIBMS, 2020) Okinawa, Japan, Nov.18-20, 2020 (EI, Corresponding Author)

24. C. Guogang, L. Mengxue, C. Cong, W. Ziyi, F. Meng and G. Chunfang. Primary Liver Cancer Early Screening Based on Gradient Boosting Decision Tree and Support Vector Machine. 2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), Shanghai, China, 2019, pp. 287-290 (EI)

25. W. Yijie, L. Shixuan, C. Guogang*, C. Cong, L. Mengxue and Z. Xinyu, Improved U-net fundus image segmentation method. 2019 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), Shanghai, China, 2019, pp. 110-113 (EI, Corresponding Author)

26. Guogang Cao, Cong Cao, Qing Zhang, Wenju Li. Differential Evolution Improved with Intelligent Mutation Operator Based on Proximity and Ranking, 2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018, Hangzhou, China. Dec. 2018

27. Lanfeng Zhou ,Weijie Qian, Guogang Cao*. An Ant Colony Optimization Algorithm for Three Dimensional Path Planning. Security, Pattern Analysis, and Cybernetics (SPAC), 2017 International Conference on. Shenzhen, China. Dec. 2017 (EI, Corresponding Author)

28. Qing Zhang, Jiajun Lin, Wenju Li, Yanjiao Shi, Guogang Cao. Salient object detection via compactness and objectness cues. The Visual Computer, doi: 10.1007/s00371-017-1354-0.

 

Funded Research Projects (in Chinese)

·         上海市基础研究计划“自然科学基金”项目/ Natural Science Foundation of Shanghai (Shanghai Municipal Basic Research Program)（25ZR1401330），基于视觉语言模型与放射组学的眼底疾病抗VEGF疗效预测研究，2025/7-2028/6，20万元，在研，主持

·         工程技术项目（横向项目），颅内微创外科手术图像融合技术研发与计划系统优化，2025/11-2026/10，20万元，在研，主持

·         工程技术项目（横向项目），颅内微创外科手术立体定向计划软件研发，2023/7-2025/6，30万元，在研，主持

·         国家自然科学基金面上项目（62175156），超快超宽场扫频OCT/OCTA成像技术及应用研究2022/01-2025/12，58万元，在研，参与（第二）

·         上海应用技术大学协同创新基金（XTCX2022-04），神经外科手术导板关键技术研究与系统实现，2022/7-2024/6，7万元，在研，主持

·         上海应用技术大学研究生创新创业竞赛及学科竞赛培育项目，医学图像分析与人工智能，2023-2024，3万元，在研，主持

·         上海应用技术大学研究生教育教学改革项目，2023-2024，1.5万元，在研，主持

·         上海应用技术大学研究生创新创业竞赛及学科竞赛培育项目，医学图像分析与人工智能，2022-2023，3万元，在研，主持

·         工程技术项目（横向项目），颅内微创外科手术3D导板设计软件系统研发，2021/7-2023/6，30万元，在研，主持

·         国家自然科学基金面上项目（41671402），复杂地形环境下基于地形坡度进行滑移预测的路径规划算法及其应用研究2017/01-2020/12，65万元，已结题，参与（第二）

·         上海市科委基础研究项目（17JC1404500），原发性肝癌临床预警人工智能（AI）模型的建立和应用，2017/09-2019/8，100万元，已结题，参与（第四）

·         上海市联盟计划项目（LM201811），智能颅内微创外科手术导航软件系统研发，2018/7-2019/12，50万元，已结题，主持

·         上海市联盟计划项目（LM201660），大数据环境下网络营销信息过滤及推荐系统及其关键技术研究，2016/7-2017/12，50万元，已结题，主持

·         上海应用技术大学协同创新基金（XTCX2019-14），颅内微创手术导航系统及关键技术研究，2019/9-2021/5，5万元，已结题，主持

·         上海高校青年教师培养资助计划（ZZYYX15028），图像引导放射治疗中基于差异进化算法的多模态图像配准方法研究，2016/1-2017/12，主持

·         上海应用技术学院（YJ2015-47），图像引导的放射治疗中图像配准方法的研究2015/7-2017/6，主持

·         卫生部国家食品药品监督管理局，国食药监办（2010）276号-26，医用电气设备 放射治疗计划系统的安全要求，2011/1-2011/6，已结题，主要参加。

·         卫生部国家食品药品监督管理局，国食药监办（2010）276号-31，外照射放射治疗计划系统性能测试方法，2011/1-2011/6，已结题，主要参加。

 

Patents (in Chinese)

1.       宋华, 王成焘, 苏颖颖, 曹国刚. 基于3D打印的个性化经颅磁刺激治疗的定位装置及方法, 发明专利，授权号: CN108042918B，授权日：2024-09-13

2.       曹国刚, 范雨强, 宋华. 经颅磁刺激导航定位机器人系统及定位方法, 发明专利，授权号:  108187230B, 授权日: 2024-07-30

3.       曹国刚, 刘顺堃, 毛红东, 孔德卿, 李梦雪, 朱信玉, 王一杰, 张术, 李思诚. 一种跨模态图像的合成方法. 发明专利, 授权号: CN 113012086B, 授权日: 2024-04-16

4.       曹国刚，王一杰，朱信玉，李梦雪，曹聪，刘顺堃，毛红东，孔德卿. 一种颅脑CT图像出血区域自动分割方法，发明专利, 授权号: CN 111724397B, 授权日: 2024-04-16

5.       曹国刚, 李梦雪, 朱信玉, 王一杰, 刘顺堃, 毛红东, 孔德卿. 原发性肝癌分期模型训练方法. 发明专利, 公开号: 111783868B, 授权日: 2024-02-02

6.       曹国刚, 李思诚, 孔德卿, 张术, 毛红东, 刘顺堃, 武妍, 彭泽宇. 一种OCT成像畸变矫正方法及装置. 发明专利, 公开号: CN 114581326B, 授权日: 2024-02-02

7.       曹国刚, 王一杰, 朱信玉, 李梦雪, 刘顺堃, 毛红东, 孔德卿. 基于多模型结合的脑出血分割方法和系统. 发明专利, 公开号: 112348796B, 授权日: 2024-01-31

8.       曹国刚, 毛红东, 刘顺堃, 孔德卿, 朱信玉, 李梦雪, 王一杰, 张术, 李思诚. 基于改进3D U-Net的多器官分割方法. 发明专利, 授权号: CN 112348830B, 授权日: 2023-09-19

9.       曹国刚, 朱信玉, 王一杰, 李梦雪, 刘顺堃, 毛红东, 孔德卿. 颅脑多模态医学图像配准方法, 发明专利, 授权号: CN 111754554B, 授权日: 2023-09-15

10.    曹国刚, 李梦雪, 高春芳, 房萌, 曹聪, 王孜怡. 原发性肝癌的早期预警模型的训练方法, 发明专利，授权号: CN 110991536B, 授权日: 2023-05-09

11.    曹国刚, 朱信玉, 曹聪, 王一杰, 李梦雪, 刘顺堃, 毛红东, 孔德卿. 一种颅脑医学图像配准方法, 发明专利, 授权号: CN 111612782B, 授权日: 2023-04-07

12.    戴翠霞, 董柏文, 曹国刚, 赵宏伟, 葛坚坚, 郭春凤. 一种内窥导管-多模态光学成像耦合检测系统. 发明专利, 授权号: CN113520272B, 授权日: 2023-06-27

13.    武妍, 杨嘉敏, 曹国刚, 彭泽宇, 周稚麟, 严如刚, 张蕴青, 一种医学图像分层方法, 发明专利, 公开号: CN 116597950A, 公开日: 2023-08-15, 实审

14.    赵春生, 茅炜炜, 延现有, 曹国刚, 裴晓宏. 立体定向装置. 发明专利, 公开号: CN 116999187A, 公开日: 2023-07-05, 实审

15.    孔德卿,曹国刚, 李文举, 朱信玉, 王一杰, 李梦雪, 刘顺堃, 毛红东. 医学图像配准方法. 发明专利,公开号: 112561972A, 公开日: 2021-03-02, 实审

16.    曹国刚, 范雨强, 宋华. 经颅磁刺激导航定位机器人系统, 实用新型专利，专利号: 201820140823.8, 申请日期: 2018.01.29, 授权

17.    宋华, 王成焘, 苏颖颖, 曹国刚. 基于3D打印的个性化经颅磁刺激治疗的定位装置, 实用新型专利，专利号: 201820140849.2, 申请日期: 2018.01.29, 授权

18.    高兴斌, 黄宇星, 胡勤军, 许坚, 曹国刚. 基于线性插值的波束合成器及其合成方法. 发明专利，申请号: 02134632.1, 申请日期: 2002-08-28, 授权

Last updated on November 9, 2025