Welcome to my GitHub!
I'm Yinghao Zhang, Ph.D. candidate at Harbin Institute of Technology, China. I'm researching MR image reconstruction, and dynamic MRI specifically, and I'm also focusing on the inverse problems in computer vision and math.
| 🎁 Projects | ⭐ Stars | 📚 Forks | 🛎 Issues | 📬 Pull requests |
| Learned Low Rank Unfolding network |  |
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| TMNN |  |
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| dMRI-utils |  |
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- Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations
A novel dynamic MR image reconstruction method that incorporates the matrix and tensor nuclear norm (based on tensor decomposition named t-SVD), denoted as TMNN, the code is opened in my github. - T2LR-Net: An Unrolling Reconstruction Network Learning Transformed Tensor Low-Rank prior for Dynamic MR Imaging
A learned tensor low rank method, a deep unfolding neural network exactly, utilizing convolutional neural network to learn a transformed domain to further exploit the low-rank property of dynamic MR images.
Above is the Harbin I've seen on 2022/09/15
That night I almost lost my cell phone and Y left Harbin tomorrow.
