主持课题: [1] 面向脑磁共振影像分割的多分辨率驱动下跨域聚类模型研究,福建省自然科学基金面上项目,2020.8-2023.8,7万元,主持人,已结题 [2] 便民系统义云支付接口模块开发, 企业技术开发项目,2021.8-2022.7 ,60万元,主持人,已结题 [3] 基于无监督学习视觉特征的深度聚类方法研究,漳州市高层次人才项目,2019.1-2024.12,15万元,主持人,在研 [4] 基于FCM的医学图像分割及其偏移场估计研究,beat365官方网站校长基金项目,2018.9-2023.8,10万元,主持人,在研 [5] 基于多尺度MRF与模糊聚类融合的图像分割方法研究,培育省部共建教育部重点实验室开放基金项目,2014.1-2016.12,2万元,主持人,已结题 [6] 四元数体上的核分类器及其在特征级信息融合中的应用研究,国家自然科学基金项目,2013.1-2015.12,26万元,排名第三,已结题 [7] 结构稀疏时频分析及其在油气勘探的应用,福建省自然科学基金青年项目,2020.8-2023.8,6万元,排名第三,已结题 [8]基于图神经网络的闽南文化数据建模与特征发掘研究,福建省自然科学基金面上项目,2022.8-2025.8,7万元,排名第三,在研 [9] 闽南文化的数字化模型及其示范应用,beat365官方网站校内培育项目,2020.11-2023.11,28万元,排名第三,在研
近5年发表的学术论文:
[1] Lei Yuan, Jianhua Song*, Yazhuo Fan. MCNMF-Unet: a mixture Conv-MLP network with multi-scale features fusion Unet for medical image segmentation, Peer J Computer Science, 2024, 10: 1798. (SCI检索) [2] Lei Yuan, Jianhua Song*, Yazhuo Fan. FM-Unet: Biomedical image segmentation based on feedback mechanism Unet [J]. Mathematical Biosciences and Engineering, 2023, 20(7): 12039–12055. (SCI/EI检索) [3] Jianhua Song*, Zhe Zhang. Magnetic Resonance Imaging Segmentation via Weighted Level Set Model Based on Local Kernel Metric and Spatial Constraint[J]. Entropy, 2021, 23(9), 1196. (SCI检索) [4] Jianhua Song*, Shuqin Li. Inhomogeneous Brain Magnetic Resonance Images Segmentation Using a Novel Double Level Set Method[J]. Journal of Medical Imaging and Health Informatics, 2020, 10(10): 2452-2468. (SCI检索) [5] Zhe Zhang, Jianhua Song*. A Robust Brain MRI Segmentation and Bias Field Correction Method Integrating Local Contextual Information into a Clustering Model, Applied Sciences. 2019, 9(7), 1332(SCI检索) [6] Jianhua Song*, Zhe Zhang. Brain Tissue Segmentation and Bias Field Correction of MR Image Based on Spatially Coherent FCM with Nonlocal Constraints, Computational and Mathematical Methods in Medicine, 2019, 1-13.(SCI检索) [7] Jianhua Song*, Zhe Zhang. A Modified Robust FCM Model with Spatial Constraints for Brain MR Image Segmentation. Information, 2019, 10(2), 74. (EI检索) [8] Jianhua Song, Cong Wang, Jin Li. A Robust Fuzzy c-Means Clustering Model with Spatial Constraint for Brain Magnetic Resonance, Journal of medical imaging and health informatics, 2018, 8(4): 811-816. (SCI检索) [9] 王志芳, 甄佳奇, 朱福珍, 宋建华. 特征层双模态生物识别算法容侵能力评测方法, 系统工程与电子技术,2018, 40(8): 1889-1896.(EI检索) [10] Jianhua Song, Wang Cong, Jin Li. A Fuzzy C-means Clustering Algorithm for Image Segmentation Using Nonlinear Weighted Local Information, Journal of Information Hiding and Multimedia Signal Processing, 2017, 8(3): 578-588. (EI检索) 授权专利: [1] 一种带有邻域约束的图像分割方法,发明专利,授权号:ZL 201910122823.4,2020.1,第一发明人 [2] 一种MCS-51单片机开发教学用装置,实用新型专利,授权号:ZL2017 2 0199584.9,2017.11,独立 [3] 一种电扑扑鼠器,实用新型专利,授权号:ZL2017 2 0199721.9,2017.11,独立
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