
姓名:叶芳芳,性别:女
学科专业:电子信息
招生专业方向:人工智能
学历及学位:研究生、博士
职称:副教授
职务:人工智能系主任
联系方式(邮箱):601233@zjsru.edu.cn
研究方向
图像处理、人工智能
主要科研项目:
[1] 浙江省自然科学基金一般项目,《基于少样本学习的弥漫大 B 细胞淋巴瘤 PET/CT 影像半自动标记算法研究》(SY19F010001),主持。
[2] 国家高端外专项目,《基于PET/CT影像的淋巴瘤自动预分割模型构建研究》,2/5。
[3] 全省人工器官与计算医学重点实验室开放/自主基金,《面向精准肝切除的AI血管分割关键技术研究》(SZD2025B015),主持。
[4] 浙江省教育厅一般项目,《显著性感知与GAN结合的多模态医学图像融合研究》(Y202456162),主持。
长期从事图像处理及深度学习算法等方面的研究,积累了丰富的实践经验,并取得了丰硕的研究成果,以通讯作者或者第一作者身份,已经在IEEE Transactions 、INFORMATION SCIENCES、EXPERT SYSTEMS WITH APPLICATIONS、IEEE T-NNLS等国外重要学术刊物上发表论文十余篇(SCI)。
近期代表性论文及成果:
[1] Ye F, Wang J, Liu C. Misshaped boundary classifier model for license plate detection in haze weather using entropy CNN[J]. Information Sciences, 2025, 690.(SCI一区top)
[2] Ye H, Wang J, Ye F*. K-fold matching model for crowd behavioral anomaly detection from discontinuous inputs[J]. Expert Systems With Applications, 2025, 261. (SCI一区top)
[3] Ye, FF; Wang, JM; Shuhua, C; Dong, Z; Wang, T; Touti, E .Anomaly Detection in UAV-Captured Crowd Images Using Cumulative Frame Segmentation and Adversarial Learning[J]. Information Processing and Management.2026, 104320. (SCI一区top)
[4] Ye F , Liu C , Wang J ,et al.Kidney stone and tumor segmentation by analyzing medical images using deep learning technique[J].Engineering Applications of Artificial Intelligence, 2025, 160(PartA).DOI:10.1016/j.engappai.2025.111878. (SCI一区top)
[5] Ye F , Wang J , Wang T ,et al. A hybrid fusion approach combining salience perception and generative adversarial networks for multimodal medical image integration[J].Biomedical Signal Processing and Control, 2025, 110. (SCI二区)
[6] Ye F, Ren T, Wang Z, et al. Sparse representation optimization of image Gaussian mixture features based on a convolutional neural network[J]. Neural Computing and Applications, 2022, 34:12427 -12437. (SCI三区)
[7] Tiaojuan Ren*, Olga Nedzvedz*, Fangfang Ye*, etc. Reconstruction of the Volume of Affected Lymph Nodes on Positron Emission and Computed Tomography Images. Pattern Recognition and Image Analysis[J]. 2021,31(4): 775-785.