代表性论著
1) Boyuan Ma, Xiaoyan Wei, Chuni Liu, et al. Data augmentation in microscopic images for material data mining[J]. Npj comput mater, 6, 125, 2020.（Nature 系列期刊）
2) Boyuan Ma, Xiang Yin,Jing Tan, et al.FedST: Federated Style Transfer Learning for Non-IID image segmentation.[C]//Proceedings of the AAAI Conference on Artificial Intelligence,2024,38(5):4053-4051. (CCF-A).
3) Chuni Liu, Boyuan Ma, Xiaojuan Ban, et al. Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods.[C]//International Joint Conference on Artificial Intelligence, IJCAI,2024, 1092-1100. (CCF-A).
4) Boyuan Ma, Xiang Yin, Di Wu et al. End-to-end learning for simultaneously generating decision map and multi-focus image fusion result[J]. Neurocomputing, 470, 2022, 204-216. (中科院TOP期刊)
5) Boyuan Ma, Yu Zhu, Xiang Yin, et al. SESF-fuse: An unsupervised deep model for multi-focus image fusion[J]. Neural Computing and Applications, 2021, 33(11): 5793-5804. (ESI高被引论文)
6) Boyuan Ma, Yuting Xu, Jiahao Chen, et al. Deep learning based object tracking for 3D microstructure reconstruction[J]. Methods, 2022,204,172-178.
7) Boyuan Ma, Bin Ma, Mingfei Gao, et al. Deep learning‐based automatic inpainting for material microscopic images[J]. Journal of Microscopy, 2021, 281(3): 177-189.
8) Boyuan Ma, Xiaojuan Ban, Ya Su, et al. Fast-FineCut: Grain boundary detection in microscopic images considering 3D information[J]. Micron, 116, 2019, 5-14.
9) Boyuan Ma, Xiaojuan Ban, Haiyou Huang, et al. A fast algorithm for material image sequential stitching[J]. Computational Materials Science, 158, 2019, 1-13.
10) 马博渊,姜淑芳,尹豆等.图像分割评估方法在显微图像分析中的应用[J].工程科学学报,2021,43(01):137-149. （该期刊2022年优秀论文）
代表性项目
1) 国家级，国家科技重大专项，材料数据资源共享公益服务系统，课题负责人，在研，2025年-至今;
2) 国家级，国家自然科学基金青年基金，小样本材料显微图像精准分割方法研究，主持, 结题, 2022年-2024年;
3) 省部级，中国博士后面上基金，材料复杂显微图像分割与三维重构方法研究和应用，主持, 结题, 2021年-2023年;
4) 横向-专利成果转化，多晶高温合金显微图像分析算法研发，结题, 在研， 2022年-2024年.
