39 citations · 39 across the 3 of their papers we have counts for
5 papers
Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM
Sampurna Biswas, Hemant K. Aggarwal, Sunrita Poddar +1
We introduce a model-based reconstruction framework with deep learned (DL) and smoothness regularization on manifolds (STORM) priors to recover free breathing and ungated (FBU) car…
Convex recovery of continuous domain piecewise constant images from non-uniform Fourier samples
Greg Ongie, Sampurna Biswas, Mathews Jacob
We consider the recovery of a continuous domain piecewise constant image from its non-uniform Fourier samples using a convex matrix completion algorithm. We assume the discontinuit…
Structured low-rank recovery of piecewise constant signals with performance guarantees
Greg Ongie, Sampurna Biswas, Mathews Jacob
We derive theoretical guarantees for the exact recovery of piecewise constant two-dimensional images from a minimal number of non-uniform Fourier samples using a convex matrix comp…
Subspace based low rank and joint sparse matrix recovery
Sampurna Biswas, Sunrita Poddar, Soura Dasgupta +2
We consider the recovery of a low rank and jointly sparse matrix from under sampled measurements of its columns. This problem is highly relevant in the recovery of dynamic MRI data…
Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees
Sampurna Biswas, Sunrita Poddar, Soura Dasgupta +2
We introduce a two step algorithm with theoretical guarantees to recover a jointly sparse and low-rank matrix from undersampled measurements of its columns. The algorithm first est…