一、在精品课程建设期间（2020.6-2022.6），课程组教师指导研究生在国际一流期刊（如一区TOP期刊IEEE Transactions on Medical Imaging）和重要国际会议（如CCF-A类会议ACM-MM）发表22篇学术论文（注：加粗者为本课程组教师）：

1. Yubo Tan, Kai-Fu Yang*, Shi-Xuan Zhao, Yong-Jie Li, Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss. IEEE Transactions on Medical Imaging, 2022, DOI: 10.1109/TMI.2022.3161681.
2. Shi-Xuan Zhao#, Yang Chen#, Kai-Fu Yang, Yan Luo, Bu-Yun Ma*, Yong-Jie Li*, A Local and Global Feature Disentangled Network: Toward Classification of Benign-malignant Thyroid Nodules from Ultrasound Image. IEEE Transactions on Medical Imaging, 2022, 41(6): 1497-1509.
3. Fuya Luo, Yunhan Li, Guang Zeng, Peng Peng, Gang Wang*, Yongjie Li*, Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3145476.
4. Peng Peng, Kai-Fu Yang*, Yong-Jie Li, Global prior guided fusion network for salient object detection. Expert Systems with Applications, 2022, 198: 116805.
5. Peng Peng, Kai-Fu Yang*, Si-Qin Liang, Yong-Jie Li, Contour-guided Saliency Detection with Long-range Interactions. Neurocomputing, 2022, 488: 345-358.
6. De-Huai He, Kai-Fu Yang*, Xue-Mei Wan, Fen Xiao, Hong-Mei Yan, Yong-Jie Li, A New Representation of Scene Layout Improves Saliency Detection in Traffic Scenes. Expert Systems with Applications, 2022, 193: 116425.
7. Shixuan Zhao, Zhidan Li, Yang Chen, Wei Zhao, Xingzhi Xie, Jun Liu*, Di Zhao*, Yongjie Li*, SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images, Pattern Recognition, 2021, 119: 108109.
8. Peng Peng, Kai-Fu Yang, Fu-Ya Luo, Yong-Jie Li*, Saliency Detection Inspired by Topological Perception Theory, International Journal of Computer Vision, 2021, 129: 2352-2374.
9. Peng Peng, Kai-Fu Yang, Yong-Jie Li*, A Computational Model for Gestalt Proximity Principle on Dot Patterns and Beyond, Journal of Vision, 2021, 21(5): 23, 1-21.
10. Zhidan Li#, Shixuan Zhao#, Yang Chen*, Fuya Luo, Zhiqing Kang, Shengping Cai, Wei Zhao, Jun Liu, Di Zhao, Yongjie Li*, A Deep-Learning-Based Framework for Severity Assessment of COVID-19 with CT Images. Expert Systems with Applications, 2021, 185: 115616.
11. Xinxu Wei, Xianshi Zhang*, Yongjie Li, SARN: A Lightweight Stacked Attention Residual Network for Low-Light Image Enhancement, 2021 6th International Conference on Robotics and Automation Engineering (ICRAE), 2021, 275-279.
12. Fuya Luo, Yijun Cao, Yongjie Li*, Nighttime Thermal Infrared Image Colorization with Dynamic Label Mining, The 11th International Conference on Image and Graphics (ICIG 2021), LNCS, 12890, 388-399.
13. Wang-wang Yu, Jing-wen Jiang, Yong-jie Li*, LSSNet: A Two-stream Convolutional Neural Network for Spotting Macro- and Micro-expression in Long Videos, Proceedings of the 29th ACM International Conference on Multimedia (ACMMM), 2021: 4745-4749.
14. Shengdun Wu, Hefei Cao, Ge Zhang, Guanyu Zhou, Elmehdi Hamouda, Yang Xia, Dezhong Yao, Daqing Guo*. Layer-specific population rate coding in a local cortical model with a laminar structure. Nonlinear Dynamics, 2022, https://doi.org/10.1007/s11071-022-07461-z.
15. Yan Cui#, Min Li#, Bharat Biswal*, Wei Jing, Changsong Zhou, Huixiao Liu, Daqing Guo*, Yang Xia, Dezhong Yao*, Dynamic Configuration of Coactive Micropatterns in the Default Mode Network during Wakefulness and Sleep, Brain connectivity, 2021, 11(6): 471-482.
16. Yuhang Lin#, Peishan Du#, Hongze Sun, Yi Liang, Zeru Wang, Yan Cui, Ke Chen*, Yang Xia, Dezhong Yao, Liang Yu*, Daqing Guo*, Identifying Refractory Epilepsy Without Structural Abnormalities by Fusing the Common Spatial Patterns of Functional and Effective EEG Networks, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 708-717.
17. Jianmin Hao#, Yan Cui#, Bochao Niu, Liang Yu, Yuhang Lin, Yang Xia*, Dezhong Yao, Daqing Guo*. Roles of Very Fast Ripple (500-1000 Hz) in the Hippocampal Network During Status Epilepticus. International Journal of Neural Systems. 2021, 31(4): 2150002.
18. Taisong Pan, Jiahao Jiang, Junjun Li, Ting Liu, Shuang Yu, Xiaotong Sun, Zhuocheng Yan, Sihong Chen, Yue Fan, Min Gao, Xu Deng, Tiejun Liu, Dezhong Yao, Yang Xia*, Yuan Lin*.The ferroelectric ceramic/elastomer composite as the dielectric coating of soft capacitive neural interface: The competitive effects of ceramic particles. Composites Part B. 2021, 204, 108475
19. Wei Jing#, Yang Xia#, Min Li, Yan Cui, Mingming Chen, Miaomiao Xue, Daqing Guo, Bharat B. Biswal, Dezhong Yao*. State-independent and state-dependent patterns in the rat default mode network. NeuroImage. 2021, 237, 118148.
20. Ge Zhang, Yan Cui, Yangsong Zhang, Hefei Cao, Guanyu Zhou, Haifeng Shu, Dezhong Yao*, Yang Xia, Ke Chen, Daqing Guo*. Computational exploration of dynamic mechanisms of steady state visual evoked potentials at the whole brain level, Neuroimage, 2021, 237, 118166.
21. Claude Alain*, Ricky Chow, Jing Lu, Rahel Rabi, Vivek V. Sharma, Dawei Shen, Nicole D. Anderson, Malcolm Binns, Lynn Hasher, Dezhong Yao and Morris Freedman. Aging Enhances Neural Activity in Auditory, Visual, and Somatosensory Cortices: The Common Cause Revisited. Journal of Neuroscience, 2022, 42 (2) 264-275.

二、在精品课程建设期间（2020.6-2022.6），课程组教师大力提倡“以研促教、以教兴研、教研相长”，近3年获批国家及省部级重要科研项目4项：

1. 科技创新2030—“脑科学与类脑研究”重大项目课题，感觉信息整合的理论模型与类脑算法，#2022ZD0204603，2022-2026，子课题负责人：李永杰
2. 国家自然科学基金面上项目，海马网络中的高频信号及其在颞叶癫痫发生发展中的作用，#82072011，2021-2024，负责人：夏阳
3. 国家自然科学基金面上项目，基于认知机理的交通场景目标检测技术研究，#62076055，2021-2024，负责人：杨开富
4. 四川省科技计划项目—重点研发计划，基于脑波音乐的智能化认知老化干预系统，#2021YFS0135，2021-2023，负责人：卢竞

三、在精品课程建设期间（2020.6-2022.6），课程组教师积极指导学生参加各级科技竞赛，其中国家级竞赛获奖4项、省级竞赛获奖3项：

1. 李志丹、黄衍林、崔婧然，CT影像新冠辅助诊断平台，第六届全国大学生生物医学工程创新设计竞赛，一等奖，指导教师：李永杰，授奖部门：中国生物医学工程学会，2021.10，深圳（线上）
2. 王君策、肖超、黄彬芯，基于脑电信号的疲劳监测与脑波音乐调控系统，第六届全国大学生生物医学工程创新设计竞赛，二等奖，指导教师：卢竞，授奖部门：中国生物医学工程学会，2021.10，深圳（线上）
3. 柏浩瀚、谭玉博，基于深度学习的校园e指通静脉验证系统，第六届全国大学生生物医学工程创新设计竞赛，三等奖，指导教师：李永杰，授奖部门：中国生物医学工程学会，2021.10，深圳（线上）
4. 谭玉博、刘磊，基于飞桨的人体运动监护APP，中国高效计算机大赛“2020人工智能创意赛”全国总决赛，三等奖，指导教师：李永杰，主办部门：全国高等学校计算机教育研究会（2020.12.8，北京）
5. 李志丹、黄衍林、崔婧然，CT影像AI辅助诊断平台， 第一届四川省大学生生物医学工程创新设计竞赛，三等奖，指导教师：李永杰，主办部门：四川省教育厅和四川省科学技术协会，2021年6月19日，成都
6. 潘易希、何香凝、王志铭，基于深度学习的胚胎评级，第一届四川省大学生生物医学工程创新设计竞赛，三等奖，指导教师：杨开富，主办部门：四川省教育厅和四川省科学技术协会，2021年6月19日，成都
7. 程成 、梁思琴、曾广，基于深度学习的儿童眼底图像去反光，第一届四川省大学生生物医学工程创新设计竞赛，三等奖，指导教师：杨开富，主办部门：四川省教育厅和四川省科学技术协会，2021年6月19日，成都