刘艳 计算机科学与技术学院
电子邮件:yanliu@ucas.ac.cn
通信地址:北京市怀柔区怀北镇怀北庄中国科学院大学雁栖湖校区学园二383室
邮政编码:101408
研究领域
信号处理,图像处理,机器学习
研究兴趣
1. 信号处理
2. 图像处理
3. 机器学习
招生信息
招生专业
招生方向
教育背景
2、2004.6 山东大学信息科学与工程学院,通信与信息系统,硕士学位
3、2001.7 山东大学电子工程系,电子信息科学与技术,学士学位
出国学习工作
2013/12-2015/01,美国伊利诺伊大学香槟分校(UIUC),电子与计算机工程系,访问学者
工作经历
2013/12-2015/01,美国伊利诺伊大学香槟分校(UIUC),电子与计算机工程系,访问学者;
2007年7月至今 中国科学院大学 讲师,副教授。
教授课程
出版信息
Contrastive Voxel Clustering for Functional and Structural Combined Brain Network Analysis: An fMRI-based study, Neuroimage, 2024, 297.
Fast 3D SAM: Crafting Large Vision Models for 3D Medical Image Segmentation via Token Clustering and Fine-tuning, ISBI'2024.
A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data, EMBC’2024.
Joint Analysis for Faciobrachial Dystonic Seizures Identiffcation in LGI1 Encephalitis using FDG-PET, CISP-BMEI’2024.
Biomarker Importance Analysis for Autoimmune Encephalitis with PET, CISP-BMEI’2024.
An Extensible Hierarchical Graph Convolutional Network for Early Alzheimer’s Disease Identification, Computer Methods and Programs in Biomedicine,2023, 238.
Role of Hippocampal Subfields in Neurodegenerative Disease Progression Analyzed With a Multi-scale Attention-based Network, NeuroImage: Clinical, 2023, 38.
Domain Contrast Network for cross-muscle ALS disease identification with EMG signal, Biomedical Signal Processing and Control, 2023, 82.
Voxel-level fMRI Analysis by Representation Learning and Deep Clustering for Alzheimer's Disease, ISBI’2023.
Selective ensemble learning for cross-muscle ALS disease identification with EMG signal, BIBM'2022.
A Multi-scale Attention-based Convolutional Network for Identification of Alzheimer’s Disease based on Hippocampal Subfields, EMBC’2022.
Gabor-based U-Net Crevasse Detection with Ground Penetrating Radar Data, GPR'2022.
Pulmonary Nodules Detection Assistant Platform: An Effective Computer Aided System for Early Pulmonary Nodules Detection in Physical Examination, Computer Methods and Programs in Biomedicine,2022, 217: 1-12.
Multi-resolution 3D-HOG Feature Learning Method for Alzheimer’s Disease Diagnosis, Computer Methods and Programs in Biomedicine, 2021, 214:1-8.
Shallow-Layers-Detection Ice Sounding Radar for Mapping of Polar Ice Sheets. IEEE Transactions on Geoscience and Remote Sensing, 2021, (99): 1-10.
Preliminary Investigation and Imaging Analysis of Early Lung Cancer Screening Among Petroleum Workers in North China, Cancer Investigation, 2021, 39(4): 321-332.
Efficient False Positive Reduction Method for Early Pulmonary Nodules Detection in Physical Examination, BIBM'2021.
Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal, BIBM'2021.
Omics feature learning for cross individual ALS disease identification with EMG signal, BIBM'2021.
Analysis on Teeth Occlusion Distribution Based on Segmentation and Registration Algorithm, BIBM'2021.
Automated Classification of Alzheimer’s Disease and Mild Cognitive Impairment By Multi-scale Residual Neural Network in Hippocampus Subfields MR Images, RSNA’2021.
Automated Classification of Alzheimer’s Disease by Graph Convolutional network in Multi-modal MR Images, RSNA’2021.
Region-of-Interest Based Sparse Feature Learning Method for Alzheimer’s Disease Identification. Computer Methods and Programs in Biomedicine, 2020, 187: 1-10.
Gabor filter banks used for crevasse detection with Ground Penetrating Radar data, GPR’2020.
A Wrapper-based Feature Learning Method used for Alzheimer's disease Identification, ICSP’2020.
Spatial Pyramid Based 3D Hog Feature Extraction for Alzheimer’s Disease Identification, ICSP’2020.
Ice Crevasse Detection with Ground Penetrating Radar using Faster R-CNN, ICSP’2020.
Automatic Sleep Stage Classification using Marginal Hilbert Spectrum Features and a Convolutional Neural Network, EMBC’2020.
Comparison and Analyzation of Different Feature Parameters for Alzheimer’s disease Identification, EMBC'2019.
Tracing the Layer Boundary of the Ice Sheet from Radio-Echo Sounding Data, GPR’2018.
Compartmental Gaussian Mixture Model used for Layer Detection in Radio-Echo Sounding Data, ICSP’2018.
An Automatic Classification of Alzheimer’s Disease Based on Structural MRI Data Compared with Voxel-Based Morphometry Method. ISMRM’2018.
Automated Classification of Alzheimer’s Disease by Interregional Correlation Matrix in Structural MR Images. RSNA’2018.
Compartmental Sparse Feature Selection Method for Alzheimer’s disease Identification. EMBC’2017.
Elastic Net based sparse feature learning and classification for Alzheimer’s disease identification. EMBC’2017.
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity, IEEE Transactions on Biomedical Engineering, 2016, vol.63, no.4, pp: 841-849.
科研项目
医学人工智能创新单元,中央高校自主部署项目专项资金,2022.7-2024.12。
多源融合学习的阿尔茨海默病辅助诊断方法研究,中央高校自主部署项目专项资金,2021.7-2023.12。
基于深度学习技术的肺结节筛查软件开发项目,横向课题,2020.1-2020.12。
冰裂隙检测雷达关键技术研究,国家自然基金面上项目,2018.1-2021.12。
极地高分辨率冰厚探测雷达成像与数据处理方法研究 ,国家自然科学基金青年基金,2014.1-2016.12 。
《现代数字信号处理》课程,中科院十二五教育信息化“精品数字课程建设项目”,2012.12-2014.11。
面向公共安全的智能视频监控新技术与新方法,北京市自然科学基金重点项目,2011.1-2013.12。