About

Yinghao Zhang is currently a doctoral candidate at Harbin Institute of Technology, Harbin, China. His research interests lie in image reconstruction, MR image reconstruction, tensor completion and low rank.

Education

Ph.D candidate, 2022 - now, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

M.S., 2020 - 2022, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

B.S., 2016 - 2020, School of Information science and Engineering, Harbin Institute of Technology, Weihai, China

Publications

1. Zhang, Yinghao, and Yue Hu. “Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations.” 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022. link code avaliable
2. Zhang, Yinghao, Peng Li, and Yue Hu. “Dynamic MRI using Learned Transform-based Deep Tensor Low-Rank Network (DTLR-Net).” arXiv preprint arXiv:2206.00850 (2022). link
3. Zhang, Yinghao, and Yue Hu. “T $^ 2$ LR-Net: An Unrolling Reconstruction Network Learning Transformed Tensor Low-Rank prior for Dynamic MR Imaging.” arXiv preprint arXiv:2209.03832 (2022). link

My GitHub repositories about MRI

• dMRI data. (dMRI means Dynamic Magnetic Resonance Imaging, which is inherent a 3 or high-dimensional images. )
• dMRI utilities : Hermite symmetric FFT and IFFT, calculating SNR and PSNR codes.
• TMNN : The code of the conference paper “Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations.”
• Learned low rank: The easiest implementation of the deep unfolding network for MRI reconstruction.

Useful repositories about Harbin Institute of Technology

• HIT thesis word template is a word template for Harbin Institute of Technology thesis, just for undergraduates.