Since excessive sugar consumption has been related to the development of chronic
metabolic diseases prevalent in the western world, the use of sweeteners has gradually …

Regularization methods are a key tool in the solution of inverse problems. They are used to
introduce prior knowledge and allow a robust approximation of ill-posed (pseudo-) inverses …

We present an extension of the BM3D filter to volumetric data. The proposed algorithm,
BM4D, implements the grouping and collaborative filtering paradigm, where mutually similar …

Recent theoretical results on low-rank matrix reconstruction have inspired significant interest
in low-rank modeling of MRI images. Existing approaches have focused on higher …

To make full use of the ability of magnetic resonance (MR) to guide high‐intensity focused
ultrasound (HIFU) treatment, effort has been made to improve techniques for thermometry …

Purpose To propose and evaluate P‐LORAKS a new calibrationless parallel imaging
reconstruction framework. Theory and Methods LORAKS is a flexible and powerful …

Algorithms for magnetic resonance (MR) image reconstruction from undersampled
measurements exploit prior information to compensate for missing k-space data. Deep …

Synthetic aperture technique could effectively expand the passband and beyond the
diffraction limit of aperture. Macroscopic Fourier ptychography (FP) makes synthetic aperture …

Axon diameter mapping using high-gradient diffusion MRI has generated great interest as a
noninvasive tool for studying trends in axonal size in the human brain. One of the main …

In this paper, we present a solution to the complex synthetic aperture radar (SAR) imaging
problem within a constrained optimization formulation where the objective function includes …