杨铁军，男，1975.03月生，博士，教授，博士生导师，河南省电子学会副理事长，河南省高等学校电子信息类专业教学指导委员会副主任委员，河南省数字政府建设专家委员会委员。

电子邮箱：tjyanghlyu@126.com.

研究方向：医学图像处理、粮食信息处理

教育经历：

1992.09-1996.06,西安工业学院,应用电子技术,学士;

1996.09-1999.06,电子科技大学,电路与系统,硕士;

2000.03-2003.06,电子科技大学,通信与信息系统,博士;

代表性教科研学术成果：

论文：

1. Yang Tiejun, Bai Xinhao, Cui Xiaojuan, et al. TransDIR: Deformable imaging registration network based on transformer to improve the feature extraction ability, Medical Physics, 49(2), 952 - 965, 2022

2. Yang Tiejun, Wu Tingting, Li Lei, et al.SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation. Journal of Digital Imaging, 33(4), 946 - 957, 2020

3. Yang Tiejun, Song Jikun, Li Lei. A deep learning model integrating SK-TPCNN and random forests for brain tumor segmentation in MRI. Biocybernetics and Biomedical Engineering, 39(3), 613-623, 2019

4. Yang Tiejun, Tang Qi, Li Lei, et al. Nonrigid registration of medical image based on adaptive local structure tensor and normalized mutual information. Journal of Applied Clinical Medical Physics, 26(6), 99 - 110, 2019

5. Yang Tiejun, Song Jikun, Li Lei, et al. Improving brain tumor segmentation on MRI based on the deep U-net and residual units. Journal of X-Ray Science and Technology, 28(1), 95 - 110, 2020

6. Yang Tiejun, Zhou Yudan, Li Lei. DCU-Net: Multi-scale U-Net for brain tumor segmentation. Journal of X-Ray Science and Technology, 28(9), 709 - 726, 2020

7. Yang Tiejun, Tang Qi, Li Lei, et al. Non-rigid medical image registration using multi-scale residual deep fully convolutional networks. Journal of Instrumentation, 16(3), 2021

8. Yang Tiejun, Tang Lu, Tang Qi, et al. Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization. Journal of X-Ray Science and Technology, 29(3), 435 - 452, 2021

9. Yang Tiejun, Cui Xiaojuan, Bai Xinhao, et al. RA-SIFA: Unsupervised domain adaptation multi-modality cardiac segmentation network combining parallel attention module and residual attention unit. Journal of X-Ray Science and Technology, 29(6), 1065 - 1078, 2021

10. Miao Jianyu, Yang Tiejun, Sun Lijun, et al. Graph regularized locally linear embedding for unsupervised feature selection. Pattern Recognition, 2021

专利:

1. 杨铁军，吕倬凯，朱春华，等. 一种基于压缩感知的信道估计导频优化方法与装置, ZL 201711004059.8, 2020.12

2. 杨铁军，宋季锟，朱春华，等. 一种MRI图像的自动分割方法及装置, ZL 201810644681.3, 2022.02

3. 杨铁军，程金凤，朱春华，等. 一种基于自适应模糊聚类的图像分割方法及装置, ZL 201810989431.3, 2022.02

教学成果：

1. 杨铁军，《数字通信》，河南省研究生教育优质课程，2018.