赵艳
职称:讲师
导师资格:硕导
学科专业:医学信息工程
电话:无
邮箱:yan_zhao_23@usst.edu.cn
个人简介
工作经历
教育经历
研究方向
主要科研项目
代表性专利
代表性论文

【代表性论文】

[1] Y. Zhao, B. Ma, P. Jiang, et al. Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network[J]. IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 3, pp. 711-719, 2021. (封面文章)

[2] Y. Zhao, B. Ma, T. Che, et al. Multi-View Prediction of Alzheimer's Disease Progression with End-to-End Integrated Framework[J]. Journal of Biomedical Informatics, vol. 125, 103978, 2022.

[3] Y. Zhao, X. Wang, T. Che, et al. Multi-Task Deep Learning For Medical Image Computing and Analysis: A Review[J]. Computers in Biology and Medicine, vol. 153, 106496. 2023. (ESI高被引文章)

[4] B. Ma, Y. Zhao, Y. Yang, et al. Mri Image Synthesis With Dual Discriminator Adversarial Learning and Difficulty-Aware Attention Mechanism for Hippocampal Subfields Segmentation[J]. Computerized Medical Imaging and Graphics, 2020, 86: 101800.

[5] X. Wang, Q. Li, Y. Zhao, et al. Decomposition Of Individual-Specific and Individual-Shared Components from Resting-State Functional Connectivity using a Multi-Task Machine Learning Method[J]. NeuroImage. 2021,238:118252.

[6] L. Jin, K. Zhao, Y. Zhao, et al. A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis with Incomplete Multimodal Data [J], Frontiers in Neuroinformatics, 2022, 16.

[7] T. Che, X. Wang, K. Zhao, Y. Zhao, et al. AMNet: Adaptive Multi-level Network for Deformable Registration of 3D Brain MR Images[J]. Medical Image Analysis, 2023: 102740.

[8] L. Zhang, Y. Zhao, et al. Graph Neural Networks for Image-Guided Disease Diagnosis: A Review[J]. iRADIOLOGY, 2023.

[9] T. Che,L. Zhang,D.Zheng, Y. Zhao, et al.Nested hierarchical group-wise registration with a graph-based subgrouping strategy for efficient template construction[J]. Medical Image Analysis, 2025:  103624.

[10]S. Xiao, C. Cheng, H. Li, L. Li, C.Shen, Q. Feng, Y. Zhao, et al.Biomechanical analysis of clear aligners for mandibular anterior teeth intrusion and its clinical application in the design of new aligner attachment[J].Progress in Orthodontics, 2025, 26:11.

2023/10 – 至今, 上海理工大学, 健康科学与工程学院, 讲师

2018/09–2023/06,北京航空航天大学,生物医学工程,博士

2022/05 - 2023/05, 悉尼大学, 计算机学院,访学

2012/09 – 2015/03, 西北工业大学, 信号与信息处理, 硕士

2008/09 – 2012/06, 潍坊学院, 通信工程, 本科


1. AI驱动的智慧诊疗技术

2. 疾病进展预测

3. 脑影像分析

4. 医学信号处理


【主持】

[1] 北航博士创新基金项目,基于生成对抗网络的阿尔茨海默病进展模型研究,2021.03-2022.03

[2] 烟台市口腔医院横向项目,口腔美学智能分析算法研究及系统开发,2024.11-2025.11


【参与】

[1] 软件开发环境国家重点实验室探索性自选课题,基于GANs合成多时间点下多模态医学影像对AD疾病预测影响的研究(SKLSDE-2019ZX-21),2019.01~2020.12

[3] 国家自然科学基金面上项目,基于图神经网络的人脑结构连接与功能连接关系的研究及在认知功能康复中的应用(81972160),2020.01-2023.12

[1] 基于生成式人工智能的牙齿位置监测方法、系统及终端,发明专利,CN202411862176.8

[2] 基于生物力学原理设计制作牙套式清洁工具的方法,发明专利,CN110547888B

【代表性论文】

[1] Y. Zhao, B. Ma, P. Jiang, et al. Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network[J]. IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 3, pp. 711-719, 2021. (封面文章)

[2] Y. Zhao, B. Ma, T. Che, et al. Multi-View Prediction of Alzheimer's Disease Progression with End-to-End Integrated Framework[J]. Journal of Biomedical Informatics, vol. 125, 103978, 2022.

[3] Y. Zhao, X. Wang, T. Che, et al. Multi-Task Deep Learning For Medical Image Computing and Analysis: A Review[J]. Computers in Biology and Medicine, vol. 153, 106496. 2023. (ESI高被引文章)

[4] B. Ma, Y. Zhao, Y. Yang, et al. Mri Image Synthesis With Dual Discriminator Adversarial Learning and Difficulty-Aware Attention Mechanism for Hippocampal Subfields Segmentation[J]. Computerized Medical Imaging and Graphics, 2020, 86: 101800.

[5] X. Wang, Q. Li, Y. Zhao, et al. Decomposition Of Individual-Specific and Individual-Shared Components from Resting-State Functional Connectivity using a Multi-Task Machine Learning Method[J]. NeuroImage. 2021,238:118252.

[6] L. Jin, K. Zhao, Y. Zhao, et al. A Hybrid Deep Learning Method for Early and Late Mild Cognitive Impairment Diagnosis with Incomplete Multimodal Data [J], Frontiers in Neuroinformatics, 2022, 16.

[7] T. Che, X. Wang, K. Zhao, Y. Zhao, et al. AMNet: Adaptive Multi-level Network for Deformable Registration of 3D Brain MR Images[J]. Medical Image Analysis, 2023: 102740.

[8] L. Zhang, Y. Zhao, et al. Graph Neural Networks for Image-Guided Disease Diagnosis: A Review[J]. iRADIOLOGY, 2023.

[9] T. Che,L. Zhang,D.Zheng, Y. Zhao, et al.Nested hierarchical group-wise registration with a graph-based subgrouping strategy for efficient template construction[J]. Medical Image Analysis, 2025:  103624.

[10]S. Xiao, C. Cheng, H. Li, L. Li, C.Shen, Q. Feng, Y. Zhao, et al.Biomechanical analysis of clear aligners for mandibular anterior teeth intrusion and its clinical application in the design of new aligner attachment[J].Progress in Orthodontics, 2025, 26:11.