代表性学术成果： 科研项目：（倒序，从年度最近向最远排序） 1、基于多模态多传感器的目标检测与识别，横向科研项目，2024-2025，主持，在研。 2、基于卷积神经网络的OCT图像分割仪器研发与应用，横向科研项目，2024-2025，主持，在研。 3、基于机器视觉的工厂智慧化改造与建设，横向科技项目，2023-2024，主持，结题。 4、基于深度学习的机器人目标识别与定位，横向科技项目，2023-2024，主持，结题。 5、基于机器视觉的轮毂制造过程监控项目，横向科技项目，2023-2024，主持，结题。 6、农村生活污水处理设施改造与升级，横向科研项目，2022-2023，主持，结题。 7、《高速公路机电系统集成技术》教材编写，横向教研项目，2023，主持，结题。 8、三维建模软件开发项目，横向科研项目，2022-2023，主持，结题。 9、度量图上奇异Sturm-Liouville算子的谱理论研究(ZZSQ012010)，天津市科技局，天津市自然科学基金青年基金，2020-2022，参与，结题。 10、基于深度学习动态ESPI条纹分析及CFRP界面断裂研究(XJKC032123)，天津市教委，天津市教委认定科技项目，2020-2023，主持，结题。 11、基于多尺度全卷积神经网络的ESPI动态相位智能提取(KRKC012007)，天津职业技术师范大学，2019-2023，主持，结题。 12、高损伤容限型激光焊接机身壁板力学参数反演与承载能力研究，国家自然科学基金面上项目，2017-2022，参与，结题。 13、高性能动态电子散斑干涉相位提取方法的研究及在核级石墨裂纹扩展中的应用，国家自然科学基金面上项目，2015-2020，参与，结题。 代表论文、专利：（倒序，从年度最近向最远排序） 1. Pengfei Cai, Biyuan Li*, et al., DEAF‑Net: Detail‑Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation[J]. Journal of Imaging Informatics in Medicine，2024，1-24. (SCI2区)，IF:2.90. 2. Gaowei Sun, Biyuan Li*, et al., Phase unwrapping from fringe projection profilometry using Fourier Iterative Attentional Feature Fusion Res-UNet[J]. Journal of Optics. 2024 (EI) 3. Bo Yang, Biyuan Li*, et al., Vision Mamba UNet:Vision Mamba UNet for Polyp Segmentation[J], 2(3):8-10, Medical and Health Research, 2024. 4. Chunjie Lv, Biyuan Li*, et al., The Development and Application of Artificial Intelligence in Medical Image Diagnosis[J], 2(3):11-14, Medical and Health Research, 2024. 5. Xiuwei Wang, Biyuan Li*, et al., DCSS‐UNet: UNet based on State Space Model for Polyp Segmentation[J], 9(3): 2832-6024, Frontiers in Computing and Intelligent Systems, 2024. 6. Pengfei Cai, Biyuan Li*, et al., MDF-Net: a multi-scale detail feature fusion algorithm for retinal vessel segmentation[J], 34(3), Journal of Tianjin University of Technology and Education, 2024. 7. Gaowei Sun, Biyuan Li*, et al., Phase unwrapping based on channel transformer U-Net for single-shot fringe projection profilometry[J]. Journal of Optics. 2023 (EI) 8. Biyuan Li*, Zhuo Li, et al., Channel transformer U-Net: an automatically and effective skeletons extraction network for ESPI, Applied Optics, 2023. (SCI3区). 9. Jiazhi Yu, Biyuan Li*, et al., Nighttime image dehazing based on bright and dark channel prior and gaussian mixture model, International Conference on Image and Graphics Processing(ICIGP 2023), 2023.(EI) 10. Zhuo li, Biyuan Li*, et al., MFCTrans-net: a Multi-scale Fusion and Channel Transformer net for retinal vessel segmentation, International Conference on Graphics and Image Processing(ICGIP2022), 2022. (EI) 11. Zhuo Li, Biyuan Li*, An Improved OCT Retinal Image Denoising Algorithm Based on Variational Image Decomposition, International Conference on Graphics and Image Processing(ICGIP2022), 2022. (EI) 12. Xinchun Zhao, Biyuan Li*, et al., Denoising algorithm model based on improved total variation, Computer Aided Engineering, 2022. 13. Biyuan Li*, Xinchun Zhao, et al., Phase unwrapping method of shearlet transform and orientation binary mask, Journal of Tianjin University of Technology and Education, 2022. 14. Yu Wang, Biyuan Li*, et al., Image enhancement and noise suppression for Optical Coherence Tomography images based on variational image decomposition and gaussian mixture model, International Coference Image Processing, Software and Computer Engineering(IPSCE2022), 2022. (EI) 15. Yu Wang, Biyuan Li*, et al. Image enhancement and noise suppression method based on GMM clustering and Retinex, Application Research of Computer, 2022. (中文核心) 16. Biyuan Li*, Xinchun Zhao, et al., Speckle suppression and texture preservation in optical coherence tomography images using variational image decomposition, International Conference on Multimedia and Image Processing(ICMIP2022), 2022. (EI) 17. Biyuan Li*, Yu Wang, et al., Effective Speckle reduction and structure enhancement method for retinal OCT image based on VID and Retinex, International Conference on Multimedia and Image Processing(ICMIP2022), 2022. (EI) 18. Biyuan Li, Chen Tang, et al., Efficient noise filtering method based on variational image decomposition for Interferometric Synthetic Aperture Radar phase images, International Conference on Graphics and Image Processing(ICGIP2020), 2021. (EI 20210809937574) 19. Biyuan Li, Chen Tang, et al., Fully automated extraction of the fringe skeletons in dynamic ESPI using a u-net CNN, Optical Engineering, 2019, 58(2):023105. (SCI 4区WOS:000463894400009） 20. Biyuan Li et al., Weighted least-squares phase unwrapping algorithm based on the orientation coherence for discontinuous optical phase patterns, Applied Optics,2019,58:219-226.(SCI 3区 WOS:000455400900001) 21. Biyuan Li, Chen Tang, et al., General filtering method for electronic speckle pattern interferometry fringe images with various densities based on variational image decomposition, Applied Optics, 2017, 56(16):4843-4853. (SCI 3区 WOS:000402579600039) 22. Biyuan Li, Chen Tang, et al., A 3D shape retrieval method for orthogonal fringe projection based on a combination of variational image decomposition and variational mode decomposition, Optics and Lasers in engineering, 2016, 86: 345-355. (SCI 2区 WOS:000381949700038 ) 23. Biyuan Li, Chen Tang, et al., Shearlet transform for phase extraction in fringe projection profilometry with edges discontinuity, Optics and Lasers in engineering, 2015, 78: 91-98. (SCI 2区 WOS:000366769100011) . 专利： 1. 基于经验曲波变换的条纹投影轮廓术的形貌测量方法。国家发明专利，2016.1.0838899.3 2. 单透镜彩色图像加密系统。国家发明专利, 2016.1.0827935.6 3. 用于条纹投影图像的方向偏微分方程滤波方法。国家发明专利, 2016.1.0810503.4 软件著作权： 1. 基于深度学习的图像修复与增强软件V1.0, 2024SR0582962. 2. 图像识别监测系统V1.0, 2024SR0008260. | 
