| 艾玲梅 |
职称/职务:教授 |
电话: |
个人主页: |
电子信箱:sjalmsas@snnu.edu.cn |
研究方向:智能信息处理、模式识别、测控技术。 |
办公地点: |
个人简介
艾玲梅,44118太阳成城集团教授,博士、硕士生导师,西安交通大学生物医学工程专业博士,美国佛罗里达大学生物医学工程系访问学者。主要研究方向为大数据分析,图像处理,机器学习,智能信息处理等。主持和参与国家自然科学基金面上项目、科技部重点研发子项、陕西省重点产业链、陕西省自然科学基金和各类横向项目共计十多项。发表学术论文70多篇,其中被SCI、EI、ISTP和MI检索40多篇。获授权国家发明专利10项,获陕西省科技进步二等奖一项,是Digital signal processing ,Biomedical signal processing and control 等多个国际知名期刊的固定审稿人,教育部博硕士学位论文评审专家。主持教学改革项目2项,发表核心教学论文多篇,主编教材一部,优秀硕士论文指导老师,研究生建模大赛优秀指导老师。
部分期刊论文(2022-2024)
1. Ai L*, Bai W, Li M. TDABNet: Three-directional attention block network for the determination
of IDH status in low-and high-grade gliomas from MRI[J]. Biomedical Signal Processing and
Control, 2022, 75: 103574.
2. Ai L*, Yang M, Xie Z. ACTNet: asymmetric convolutional transformer network for diabetic foot ulcers classification[J]. Physical and Engineering Sciences in Medicine, 2022, 45(4): 1175-1181.
3. Ai L*, Xie Z, et al. R-VPCG: RGB image feature fusion-based virtual point cloud generation
for 3D car detection[J]. Displays, 2023, 77: 102390.
4. Ai L*, Xie Z, Yao R, et al. MVTr: multi-feature voxel transformer for 3D object detection[J]. The
Visual Computer, 2024, 40(3): 1453-1466.
5. Li J,Ai L*,Yao R. NVAM-Net: deep learning networks for reconstructing high-quality fiber orientation distributions[J]. Neuroradiology, 2024, 66(7):1177-1187.
6. Ai L*, Shi Y, et al. MFCA-MICNN: a convolutional neural network with multiscalefast channel
attention and multibranch irregular convolution for noise removal in dMRI[J]. Physics in
Medicine & Biology, 2024, 69(21): 215003.
7. Yu H,Ai L*,Yao R,et al.A hybrid network for fiber orientation distribution reconstruction employing multi-scale information[J]. Medical Physics. doi:10.1002/mp.17505.
会议论文:
1. Ai L*,Zhang X,Hu X.MPSKT: Multi-head ProbSparse Self-Attention for Knowledge Tracing
[C]//Proceedings of the 6th International Conference on Computer Science and Application
Engineering. 2022: Article No 33, 1-5.
2. Ai L*, Yang M, Xie Z. Improved Residual Connection Network for Diabetic Foot Ulcers
Classification[C]//Proceedings of the 6th International Conference onComputer Science and
Application Engineering. 2022: Article No 46, 1-5.
3. Ai L*, Xie Z, Zhang X. CVPCG: Centrosymmetric Virtual Point Cloud Generation For 3D
Object Detection[C]//Proceedings of the 6th International Conference on Computer Science
and Application Engineering. 2022: Article No 62,1-5.
4. Ai L*,Yu H,Shi Y.FOD-mixer: an MLP-based framework for fiber orientation distribution
reconstruction[C]//Fifth International Conference on Computer Vision and Data Mining
(ICCVDM 2024). SPIE, 2024, 13272: 395-400.
5. Ai L*, Shi Y. CSSLF-BSDFNet: cluster-based semi-supervised framework withblind spot
dense fusion network for DWI[C]//Fifth International Conference on Computer Vision and
Data Mining (ICCVDM 2024). SPIE, 2024, 13272: 401-406.