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Daniel K. Sodickson

Researcher at New York University

Publications -  267
Citations -  18645

Daniel K. Sodickson is an academic researcher from New York University. The author has contributed to research in topics: Iterative reconstruction & Electromagnetic coil. The author has an hindex of 61, co-authored 258 publications receiving 15371 citations. Previous affiliations of Daniel K. Sodickson include Harvard University & Beth Israel Deaconess Medical Center.

Papers
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Journal ArticleDOI

Training a neural network for Gibbs and noise removal in diffusion MRI

Matthew J. Muckley, +9 more
- 01 Jan 2021 - 
TL;DR: In this article, a convolutional neural network (CNN) was designed for artifact removal in diffusion-weighted imaging data, which can be applied on each imaging slice independently, allowing it to be used flexibly in clinical applications.
Journal ArticleDOI

Parametric analysis of the spatial resolution and signal-to-noise ratio in super-resolved spatiotemporally encoded (SPEN) MRI.

Noam Ben-Eliezer, +3 more
- 01 Aug 2014 - 
TL;DR: This work aims to establish a comprehensive framework for the implementation and super‐resolved reconstruction of SPEN‐based imaging, and to accurately quantify this method's spatial‐resolution and signal‐to‐noise ratio (SNR).
Journal ArticleDOI

Transverse slot antennas for high field MRI.

Leeor Alon, +6 more
- 01 Sep 2018 - 
TL;DR: A novel coil design using an electrically long transversely oriented slot in a conductive sheet to solve the problem of how to balance the resistance of the coil against the conductor.
Patent

System, method and computer-accessible medium for highly-accelerated dynamic magnetic resonance imaging using golden-angle radial samplng and compressed sensing

Ricardo Otazo, +5 more
TL;DR: In this article, a Golden-angle Radial Sparse Parallel MRI (GRASP) was proposed for highly-accelerated dynamic magnetic resonance imaging using Golden-Angle radial sampling and multicoil compressed sensing reconstruction.
Journal ArticleDOI

Improved detection of fMRI activation in the cerebellum at 7T with dielectric pads extending the imaging region of a commercial head coil.

Manushka Vaidya, +8 more
- 01 Aug 2018 - 
TL;DR: There is growing interest in detecting cerebro‐cerebellar circuits, which requires adequate blood oxygenation level dependent contrast and signal‐to‐noise ratio (SNR) throughout the brain.