个人信息

姓  名: 刘云碧 性  別: 女 导师类型: 硕士生导师
技术职称: 电子邮箱: ybliu@njupt.edu.cn
专业型硕士招生类别(领域): (085400)电子信息
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个人简介:

刘云碧,校聘副教授。 2020年赴美国北卡罗莱纳大学教堂山访学一年,2021年博士毕业于南方医科大学,2021年至2023年在中国科学技术大学和香港中文大学(深圳)完成两年博士后在站研究。研究方向为医疗数据智能计算,在MIA、MICCAI、CVPR等领域内权威期刊和会议发表论文20余篇,担任MIA、MICCAI、CVPR、ECCV等期刊和会议审稿人。先后承担国家青年科学基金项目(C类)、江苏省前沿技术研发(子课题)等。邮箱:ybliu@njupt.edu.cn

研究领域:

医疗数据智能计算,具体包括脑机接口、口腔正畸智能分析、放射影像质量优化等

科研项目:

1. 国家青年自然基金,基于伪影感知和时空特征关联的DSA图像质量增强算法研究,62401280,30万

2.  江苏省省前沿子课题,AI赋能电针精准治疗慢性失眠症的关键技术研发,BF2025619,65万

代表性学术成果:

1. Liu, Yunbi, et al. "Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages." Medical image analysis 75 (2022): 102266.

2. Liu, Yunbi, et al. "Bone suppression of lateral chest x-rays with imperfect and limited dual-energy subtraction images." Computerized Medical Imaging and Graphics 105 (2023): 102186.

3. Liu, Yunbi, et al. "Subtraction-free artifact-aware digital subtraction angiography image generation for head and neck vessels from motion data." Computerized Medical Imaging and Graphics 121 (2025): 102512.

4. Liu, Yunbi, et al. "Joint neuroimage synthesis and representation learning for conversion prediction of subjective cognitive decline." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer International Publishing, 2020.

5. Qiu, Liangdong, et al. "Darch: Dental arch prior-assisted 3d tooth instance segmentation with weak annotations." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.

6. Liu, Yunbi, et al. "Artifact-aware Digital Subtraction Angiogram Image Generation for Head and Neck Vessels." 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024.

7. Liu, Yunbi, et al. "Generating dual-energy subtraction soft-tissue images from chest radiographs via bone edge-guided GAN." International Conference on Medical Image Computing and Computer-Assisted Intervention. Cham: Springer International Publishing, 2020.

8. Guan H, Liu Y, Yang E, et al. Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification[J]. Medical image analysis, 2021, 71: 102076.