9 citations · 12 across the 5 of their papers we have counts for
9 papers
Sampling of Planar Curves: Theory and Fast Algorithms
Qing Zou, Sunrita Poddar, Mathews Jacob
We introduce a continuous domain framework for the recovery of a planar curve from a few samples. We model the curve as the zero level set of a trigonometric polynomial. We show th…
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…
Free-breathing cardiac MRI using bandlimited manifold modelling
Sunrita Poddar, Yasir Mohsin, Deidra Ansah +3
We introduce a novel bandlimited manifold framework and an algorithm to recover freebreathing and ungated cardiac MR images from highly undersampled measurements. The image frames…
Clustering of Data with Missing Entries
Sunrita Poddar, Mathews Jacob
The analysis of large datasets is often complicated by the presence of missing entries, mainly because most of the current machine learning algorithms are designed to work with ful…
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction
Sunrita Poddar, Mathews Jacob
We introduce a framework for the recovery of points on a smooth surface in high-dimensional space, with application to dynamic imaging. We assume the surface to be the zero-level s…
Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained
Sunrita Poddar, Mathews Jacob
We introduce a continuous domain framework for the recovery of points on a surface in high dimensional space, represented as the zero-level set of a bandlimited function. We show t…