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后台登陆盖迪，博士，硕博连读毕业于吉林大学计算机应用技术专业，现为南昌大学数学与计算机学院讲师、研究生导师，计算机技术研究生第一党支部书记。主要从事医学图像处理、计算机视觉等人工智能学科的教学与科研工作，在人工智能领域的主流期刊及会议上发表论文十余篇，主持与参与国家自然科学基金、江西省自然基金、科技厅重点项目等多个纵向项目和横向项目的研发工作。为IEEE Journal of Selected Topics in Signal Processing、IEEE Signal Processing Letters、Engineering Applications of Artificial Intelligence、Knowledge-Based Systems、The Visual Computer、电子与信息学报等学术期刊审稿专家。
发表论文：
[1] Di Gai, Runyang Feng, Weidong Min, et al. Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(9): 4564-4576. (SCI，CCF-B, 中科院1区，Top期刊，IF：8.4)
[2] Di Gai, Xuanjing Shen, Haipeng Chen and Pengxiang Su. Multi-focus image fusion method based on two stage of convolutional neural network[J]. Signal Processing, 2020,176: 107681. (SCI，CCF-C，中科院1区，Top期刊，IF：5.859)
[3] Di Gai, Xuanjing Shen, Haipeng Chen, Zeyu Xie and Pengxiang Su. Medical image fusion using the PCNN based on IQPSO in NSST domain[J]. IET Image Processing, 2020, 14(9): 1870-1880. (SCI，CCF-C，中科院3区，IF：1.995)
[4] Gai D, Huang Z, Min W, et al. SDMI-Net: Spatially Dependent Mutual Information Network for semi-supervised medical image segmentation[J]. Computers in Biology and Medicine, 2024, 174: 108374. (SCI，中科院2区，Top，IF：7.0)
[5] Wu H, Min W, Gai D*, et al. HD-Former: A hierarchical dependency Transformer for medical image segmentation[J]. Computers in Biology and Medicine, 2024: 108671. (SCI，中科院2区，Top，IF：7.0)
[6] Di Gai, Jiqian Zhang, Yusong Xiao, et al. GL-Segnet: Global-Local representation learning net for medical image segmentation[J]. Frontiers in Neuroscience, 2023, 17: 1153356. (SCI，中科院2区，Top期刊，IF:5.152)
[7] Di Gai, Ruonan Xiong, Weidong Min, et al. Semi-supervised medical image classification based on class prototype matching for soft pseudo labels with consistent regularization[J]. Multimedia Tools and Applications, 2024, 83: 79695–79713. (SCI，CCF-C，中科院4区，IF: 3.6)
[8] Di Gai, Yuxuan Wu, Yusong Xiao, Yuhan Geng, et al. Semi-supervised Contextual Cognitive Augmentation-based Cross-teaching Network for Multiclass Medical Image Segmentation[J]. IET Image Processing, 2024, 18(13): 3989-4004. (SCI，CCF-C，中科院4区，IF: 2.0)
[9] Di Gai, Xuanjing Shen and Haipeng Chen. Effective Classification of Melting Curve in Real-Time PCR based on Dynamic Filter-based Convolutional Neural Network[J]. Current Bioinformatics, 2021, 16(2): 820-828. (SCI，中科院4区，IF：4.85)
[10] Di Gai, Jiqian Zhang, Yusong Xiao, et al. RMTF-Net: Residual Mix Transformer Fusion Net for 2D Brain Tumor Segmentation[J]. Brain Sciences, 2022, 12(9): 1145. (中科院3区，IF：3.333)
[11] Di Gai, Heng Luo, Jing He, Pengxiang Su, ZhengHuang, Song Zhang, Zhijun Tu. MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation[J]. KSII Transactions on Internet and Information Systems, 2023, 17(9): 2458-2482. (SCI，中科院4区，IF：1.5)
[12] Gai D, Geng Y, et al. Feature ensemble network for medical image segmentation with multi‐scale atrous transformer[J]. IET Image Processing, 2024. (SCI，CCF-C，中科院4区，IF: 2.0)