陈灵娜，365全球官方网站教授，365全球官方网站副院长，硕导，中南大学博士和博士后，澳大利亚卧龙岗大学公派访学，主要研究方向为人工智能和图像处理。中国图象图形学学会CSIG会员，湖南省机器视觉与医学影像专委会委员。从事《数字图像处理》、《机器视觉与图像处理》、以及《操作系统原理》等专业课程教学工作，是国家级一流本科课程《平面图像处理--PS高手》的课程团队主要成员。主要从事人工智能和图像处理的研究，主持国家自然科学青年基金课题1项，湖南省自然科学基金课题4项，湖南省教育厅课题1项，在国际刊物上发表SCI论文30余篇。
主要的SCI文章如下：
(1) Hongli Zhang , Junxi Chen, Ning Li , Lingna Chen. Multi-scale prototype contrastive learning for semi-supervised ultrasound image segmentation. Biomedical Signal Processing and Control, 2026, 127: 111133.
(2) Liqiang Xie, Mingzhi Chen, Junxi Chen, Jia Yang, Lingna Chen,Xiang Li.WT-MF-Net: Wavelet-transform based multi-frequency auxiliary network for semi-supervised medical image segmentation.Biomedical Signal Processing and Control, 2026, 120: 110134.
(3) Yifeng Yao; Xingxing Duan; Aiping Qu; Mingzhi Chen; Junxi Chen; Lingna Chen; DFCG: A Dual-Frequency Cascade Graph model for semi-supervised ultrasound image segmentation with diffusion model, Knowledge-Based Systems, 2024, 300: 112261.
(4) Tao Gao; Weijie Hu; Mingzhi Chen; Lingna Chen; Hui Jiang; MSDMAT-BTS: Multi-scale diffusion model and attention mechanism for brain tumor segmentation, Biomedical Signal Processing and Control, 2025, 104: 107505.
(5) Xuping Huang; Junxi Chen; Mingzhi Chen; Yaping Wan; Lingna Chen; FRE-Net: Full-region enhanced network for nuclei segmentation in histopathology images, Biocybernetics and Biomedical Engineering, 2023, 43: 386-401.
(6) Haojun Yuan,; Lingna Chen; Xiaofeng He; MMUNet: Morphological feature enhancement network for colon cancer segmentation in pathological images, Biomedical Signal Processing and Control, 2023, 91: 105927.
(7) Guidi Lin; Mingzhi Chen; Minsheng Tan; Lingna Chen; Junxi Chen; A dual-stage transformer and MLP-based network for breast ultrasound image segmentation, Biocybernetics and Biomedical Engineering, 2023, 43: 656-671.
