most citedFast Variable Density Poisson-Disc Sample Generation with Directional Variation

26 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2021

Least Squares Optimal Density Compensation for the Gridding Non-uniform Discrete Fourier Transform

Nicholas Dwork, Daniel O'Connor, Ethan M. I. Johnson +4

The Gridding algorithm has shown great utility for reconstructing images from non-uniformly spaced samples in the Fourier domain in several imaging modalities. Due to the non-unifo…

eess.IV2020★ 1 cited

Slide-free MUSE Microscopy to H&E Histology Modality Conversion via Unpaired Image-to-Image Translation GAN Models

Tanishq Abraham, Andrew Shaw, Daniel O'Connor +2

MUSE is a novel slide-free imaging technique for histological examination of tissues that can serve as an alternative to traditional histology. In order to bridge the gap between M…

eess.IV2020★ 1 cited

Multi-coil Magnetic Resonance Imaging with Compressed Sensing Using Physically Motivated Regularization

Nicholas Dwork, Ethan M. I. Johnson, Daniel O'Connor +5

With the advent of multi-coil imaging and compressed sensing, a number of model based reconstruction algorithms have been created. They incorporate a multitude of different regular…

eess.IV2020★ 26 cited

Fast Variable Density Poisson-Disc Sample Generation with Directional Variation

Nicholas Dwork, Corey A. Baron, Ethan M. I. Johnson +3

We present a fast method for generating random samples according to a variable density Poisson-disc distribution. A minimum threshold distance is used to create a background grid a…

eess.IV2020★ 5 cited

Di-chromatic Interpolation of Magnetic Resonance Metabolic Imagery

Nicholas Dwork, Jeremy W. Gordon, Shuyu Tang +4

Magnetic resonance imaging with hyperpolarized contrast agents can provide unprecedented \textit{in-vivo} measurements of metabolism, but yields images that are lower resolution th…

eess.IV2020★ 19 cited

Utilizing the Wavelet Transform's Structure in Compressed Sensing

Nicholas Dwork, Daniel O'Connor, Corey A. Baron +4

Compressed sensing has empowered quality image reconstruction with fewer data samples than previously though possible. These techniques rely on a sparsifying linear transformation.…