Search Results for author: Daniel O'Connor

Found 8 papers, 1 papers with code

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

no code implementations12 Jun 2021 Nicholas Dwork, Daniel O'Connor, Ethan M. I. Johnson, Corey A. Baron, Jeremy W. Gordon, John M. Pauly, Peder E. Z. Larson

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

RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces

no code implementations24 Dec 2020 Daniel O'Connor, Walter Vinci

We show that D-Flow achieves similar likelihoods and FID/IS scores to those of a typical IF with Gaussian base variables, but with the additional benefit that global features are meaningfully encoded as discrete labels in the latent space.

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

no code implementations19 Aug 2020 Tanishq Abraham, Andrew Shaw, Daniel O'Connor, Austin Todd, Richard Levenson

In order to bridge the gap between MUSE and traditional histology, we aim to convert MUSE images to resemble authentic hematoxylin- and eosin-stained (H&E) images.

Image-to-Image Translation

Fast Variable Density Poisson-Disc Sample Generation with Directional Variation

no code implementations14 Apr 2020 Nicholas Dwork, Corey A. Baron, Ethan M. I. Johnson, Daniel O'Connor, John M. Pauly, Peder E. Z. Larson

We present a fast method for generating random samples according to a variable density Poisson-disc distribution.

Di-chromatic Interpolation of Magnetic Resonance Metabolic Imagery

no code implementations11 Mar 2020 Nicholas Dwork, Jeremy W. Gordon, Shuyu Tang, Daniel O'Connor, Esben Sovso Szocska Hansen, Christoffer Laustsen, Peder E. Z. Larson

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

Utilizing the Wavelet Transform's Structure in Compressed Sensing

no code implementations11 Feb 2020 Nicholas Dwork, Daniel O'Connor, Corey A. Baron, Ethan M. I. Johnson, Adam B. Kerr, John M. Pauly, Peder E. Z. Larson

In this work, we take advantage of the structure of this wavelet transform and identify an affine transformation that increases the sparsity of the result.

Denoising Image Reconstruction

Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow Estimation

1 code implementation22 Jul 2017 Ningning Zhao, Daniel O'Connor, Adrian Basarab, Dan Ruan, Peng Hu, Ke Sheng

This paper proposes a novel framework to reconstruct the dynamic magnetic resonance images (DMRI) with motion compensation (MC).

Motion Compensation Motion Estimation +2

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