Yajun Lou

According to our database, Yajun Lou authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Novel Sleep Modulation and Quality Classification Strategy-Based EEG Signals and Multiscale Attention Deep Learning.

Yajun Lou, Lu Zhou, Fanlei Song, Fanyao Xu, Xuejing Wang, Weitao Li, Zhiyu Qian

IEEE Internet Things J., June, 2025

An Attention-Based Deep Convolutional Neural Network for Brain Imaging With Electrical Impedance Tomography.

Yajun Lou, Ke Yang, Yanyan Shi, Meng Wang, Xiaofei Jin, Lu Zhou, Zhiyu Qian

IEEE Trans. Instrum. Meas., 2025

2024

Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography.

Yanyan Shi, Yajun Lou, Meng Wang, Ke Yang, Zhen Gao, Feng Fu

IEEE Trans. Computational Imaging, 2024

2023

Reconstruction of conductivity distribution variation with Tikhonov and wavelet frame combined method for electrical impedance tomography.

Yanyan Shi, Yuhang Zhang, Meng Wang, Yajun Lou, Shuo Zheng

Trans. Inst. Meas. Control, October, 2023

A fully connected neural Network-based voltage compensation method for accurate reconstruction in brain electrical impedance tomography.

Yanyan Shi, Yating Li, Feng Fu, Meng Wang, Bin Yang, Yajun Lou, Zhiwei Tian

Biomed. Signal Process. Control., September, 2023

2022

Image Reconstruction of Conductivity Distribution With Combined L₁-Norm Fidelity and Hybrid Total Variation Penalty.

Yanyan Shi, Yuehui Wu, Meng Wang, Zuguang Rao, Bin Yang, Feng Fu, Yajun Lou

IEEE Trans. Instrum. Meas., 2022

2021

A two-stage image reconstruction strategy for electrical impedance tomography.

Yanyan Shi, Xiaolong Kong, Meng Wang, Feng Fu, Yajun Lou

Trans. Inst. Meas. Control, 2021