A two-stage image reconstruction strategy for electrical impedance tomography. - Yanyan Shi; Xiaolong Kong; Meng Wang 010; Feng Fu; Yajun Lou (Trans. Inst. Meas. Control, 2021)

Image Reconstruction of Conductivity Distribution With Combined L1-Norm Fidelity and Hybrid Total Variation Penalty. - Yanyan Shi; Yuehui Wu; Meng Wang 010; Zuguang Rao; Bin Yang 032; Feng Fu; Yajun Lou (IEEE Trans. Instrum. Meas., 2022)

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 010; Bin Yang 032; Yajun Lou; Zhiwei Tian (Biomed. Signal Process. Control., 2023)

Reconstruction of conductivity distribution variation with Tikhonov and wavelet frame combined method for electrical impedance tomography. - Yanyan Shi; Yuhang Zhang; Meng Wang 010; Yajun Lou; Shuo Zheng (Trans. Inst. Meas. Control, 2023)

Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography. - Yanyan Shi; Yajun Lou; Meng Wang 010; Ke Yang; Zhen Gao; Feng Fu (IEEE Trans. Computational Imaging, 2024)

An Attention-Based Deep Convolutional Neural Network for Brain Imaging With Electrical Impedance Tomography. - Yajun Lou; Ke Yang; Yanyan Shi; Meng Wang 010; Xiaofei Jin; Lu Zhou; Zhiyu Qian (IEEE Trans. Instrum. Meas., 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., 2025)