姓名：盖迪

职称：讲师

研究方向：医学图像处理

教育经历：2016.9-2021.6 吉林大学

工作履历：2021.7-至今 南昌大学

学术兼职：多个学术期刊审稿人

主要业绩：

[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, 中国科学院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，中国科学院1区，Top期刊，IF：5.859)

[3] Ren, Guoqiang and Wang, Qi and Tu, Gai, Di* and Liu, Pengfei and Luo, Peng and Li, Shuxiao. Residual Mamba-Driven Multi-Scale Attentive Network with Boundary Enhancement for IoT-Enabled Medical Image Segmentation[J]. IEEE Internet of Things Journal, 2026. (SCI，中国科学院1区，Top期刊)

[4] 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，中国科学院3区，IF：1.995)

[5] 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，中国科学院2区，Top，IF：7.0)

[6] 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，中国科学院2区，Top，IF：7.0)

[7] 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，中国科学院2区，Top期刊，IF:5.152)

[8] 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，中国科学院4区，IF: 3.6)

[9] 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，中国科学院4区，IF: 2.0)

[10] 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，中国科学院4区，IF：4.85)

[11] 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. (中国科学院3区，IF：3.333)

[12] 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，中国科学院4区，IF：1.5)

[13] Di Gai, Xuanjing Shen, Hang Cheng and Haipeng Chen. Medical image fusion via PCNN based on edge preservation and improved sparse representation in NSST domain[J]. IEEE Access, 2019, 7: 85413-85429. (SCI，中国科学院2区，IF：3.745)

[14] Gai D, Geng Y, Huang X, et al. Feature ensemble network for medical image segmentation with multi‐scale atrous transformer[J]. IET Image Processing, 2024. (SCI，CCF-C，中国科学院4区，IF: 2.0)

[15] Zheng Huang, Di. Gai, Weidong Min, Qi Wang and Lixin Zhan. Dual-stream-based dense local features contrastive learning for semi-supervised medical image segmentation[J]. Biomedical Signal Processing and Control, 2024, 88, 105636. (SCI，中国科学院2区，IF：5.1，学生第一作者)

邮箱：gaidi@ncu.edu.cn