scholar.google.com › citations
Nov 8, 2019 · In this paper, we propose a new off-the-grid regularization for the CS-MRI reconstruction. Following the recent works on two dimensional FRI, we ...
We propose a data driven tight frame based off-the-grid regularization model for the CS-MRI reconstruction.
In this paper, we propose a new off-the-grid approach for the CS-MRI reconstruction. Following the recent works on two dimensional FRI, we assume that the ...
Nov 8, 2019 · A data driven tight frame based off-the-grid CS-MRI reconstruction model for the MR image reconstruction that outperforms the existing ...
In this talk, we propose an off-the-grid approach for the CS-MRI reconstruction based on the finite-ratio-of-innovation which leads to the structured low ...
In this paper, we propose a new off-the-grid regularization for the CS-MRI reconstruction. Following the recent works on two dimensional FRI, we assume that the ...
In this paper, we propose a two-stage continuous domain regularization approach for the piecewise constant image restoration. Our two-stage approach follows ...
Data Driven Tight Frame for Compressed Sensing MRi Reconstruction via Off-the-Grid Regularization · SIAM Journal on Imaging Sciences 13(3): 1272-1301 · 2020 ...
In this paper, we propose a new off-the-grid regularization for the CS-MRI reconstruction. Following the recent works on two dimensional FRI, we assume that the ...
Apr 7, 2020 · Data Driven Tight Frame for Compressed Sensing MRI Reconstruction via. Off-the-Grid Regularization∗. Jian-Feng Cai† , Jae Kyu Choi‡ , and Ke ...