64 citations · 89 across the 16 of their papers we have counts for
9 papers · 1 filter
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
Mathews Jacob, Merry P. Mani, Jong Chul Ye
In this survey, we provide a detailed review of recent advances in the recovery of continuous domain multidimensional signals from their few non-uniform (multichannel) measurements…
MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI
Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob
We introduce a model-based deep learning architecture termed MoDL-MUSSELS for the correction of phase errors in multishot diffusion-weighted echo-planar MRI images. The proposed al…
Calibration-free B0 correction of EPI data using structured low rank matrix recovery
Arvind Balachandrasekaran, Merry Mani, Mathews Jacob
We introduce a structured low rank algorithm for the calibration-free compensation of field inhomogeneity artifacts in Echo Planar Imaging (EPI) MRI data. We acquire the data using…
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…
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…
Clustering of Data with Missing Entries using Non-convex Fusion Penalties
Sunrita Poddar, Mathews Jacob
The presence of missing entries in data often creates challenges for pattern recognition algorithms. Traditional algorithms for clustering data assume that all the feature values a…