姜岩芸
职 称：讲师
办公室：长清湖校区文渊楼B413
邮 箱：yanyun.jiang@qq.com
研究方向：计算机视觉、医学影像分析
个人简介
姜岩芸，女，1993年生，2023年在bevictor伟德获计算机科学与技术博士学位。在读期间曾在美国北卡罗来纳大学教堂山分校（2023 U.S. News世界大学排名第41位）访学一年。研究生学习阶段主要从事计算机视觉、人工智能、医学图像分析、病例数据分析等领域方面的研究。致力于深度学习算法在脑图像配准、眼底图像配准、乳腺能谱图像合成以及肺癌的辅助诊断等课题研究。已发表高水平学术论文10余篇；已授权发明专利3项。
研究兴趣
计算机视觉；医学影像分析
开设课程
操作系统
科研项目
1.教育部产学合作协同育人项目：基于百度智能视频监控开发平台的AI校园安全管理云平台，(2019.11– 2020.11)，主持
2.国家自然科学基金委员会，面上项目，面向互联网短视频数据的Logo检测技术研究，(2021.01– 2024.12)，参与
3.国家自然科学基金，青年项目，基于多模态融合机制的视频语义表征方法研究，(2018.01– 2020.12)，参与
奖励与荣誉
1. 2020.10，山东省“互联网+”大学生创新创业大赛金奖
2. 2021.10，山东省研究生优秀成果奖二等奖
3. 2021.10，山东省“互联网+”大学生创新创业大赛银奖
代表性成果
1. Yanyun Jiang（姜岩芸）, Shuai Ma, et al. Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion[J]. Biomedical Signal Processing and Control, 2023, 84: 104786.
2. Yanyun Jiang（姜岩芸）, Xiaodan Sui, et al. A Semi-supervised Learning Approach with Consistency Regularization for Tumor Histopathological Images Analysis[J]. Frontiers in Oncology, 2022, 12: 7200.
3. Yanyun Jiang（姜岩芸）, Xiaodan Sui, et al. Automated Grading of Diabetic Retinopathy by Simulating Human's Attention with Deep Learning in Fundus Image[J]. Investigative Ophthalmology & Visual Science, 2020, 61(7): 2034-2034.
4. Yanyun Jiang（姜岩芸）, Yuanjie Zheng, et al. ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images. Computer Systems Science and Engineering, 2021, 36(3): 537-549.
5. Yanyun Jiang（姜岩芸）, Yuanjie Zheng, et al. Multimodal Image Alignment via Linear Mapping Between Feature Modalities. Journal of healthcare engineering, 2017, 2017:1-6.
6. Yanyun Jiang（姜岩芸）, et al. Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VII 24. Springer International Publishing, 2021: 68-77.
7. Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang（姜岩芸）, et al. SymReg-GAN: Symmetric Image Registration with Generative Adversarial Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021, 44(9): 5631-5646.
8. Wei Xiao, Yanyun Jiang（姜岩芸）, et al. Polar Representation-based Cell Nucleus Segmentation in Non-small Cell Lung Cancer Histopathological Images [J]. Biomedical Signal Processing and Control, 2021, 70(2):103028.
9. Wei Xiao, Yanyun Jiang（姜岩芸）, et al. LAD-GCN: Automatic Diagnostic Framework for Quantitative Estimation of Growth Patterns During Clinical Evaluation of Lung Adenocarcinoma [J]. Frontiers in Physiology, 2022: 1509.
10. Xiaodan Sui, Yuanjie Zheng, Yanyun Jiang（姜岩芸）, et al. Deep Multispectral Image Registration Network. Computerized Medical Imaging and Graphics, 2021, 87: 101815.
11. Tongtong Che, Yuanjie Zheng, Xiaodan Sui, Yanyun Jiang（姜岩芸）, et al. DGR-Net: Deep Groupwise Registration of Multispectral Images. In International Conference on Information Processing in Medical Imaging (IPMI), pp. 706-717. Springer, Cham, 2019.
