6 citations · 23 across the 13 of their papers we have counts for
13 papers
Variable Resolution Sampling and Deep Learning Image Recovery for Accelerated Multi-Spectral MRI Near Metal Implants
Azadeh Sharafi, Nikolai J. Mickevicius, Mehran Baboli +2
Purpose: This study presents a variable resolution (VR) sampling and deep learning reconstruction approach for multi-spectral MRI near metal implants, aiming to reduce scan times w…
On Functional Activations in Deep Neural Networks
Andrew S. Nencka, L. Tugan Muftuler, Peter LaViolette +1
Background: Deep neural networks have proven to be powerful computational tools for modeling, prediction, and generation. However, the workings of these models have generally been…
Variable Resolution Sampling and Deep Learning-Based Image Recovery for Faster Multi-Spectral Imaging Near Metal Implants
Nikolai J. Mickevicius, Azadeh Sharafi, Andrew S. Nencka +1
Purpose: In multi-spectral imaging (MSI), several fast spin echo volumes with discrete Larmor frequency offsets are acquired in an interleaved fashion with multiple concatenations.…
Development and Stability Analysis of Carpal Kinematic Metrics from 4D Magnetic Resonance Imaging
Azadeh Sharafi, Andrew S Nencka, Kevin M Koch
Introduction: Wrist instability remains a common health concern. The potential of dynamic Magnetic Resonance Imaging (MRI) in assessing carpal dynamics associated with this conditi…
Unconstrained Kinematic MRI Tracking of Wrist Carpal Bones
Mohammad Zarenia, Volkan Emre Arpinar, Andrew S. Nencka +2
In this preliminary study technical methodology for kinematic tracking and profiling of wrist carpal bones during unconstrained movements is explored. Heavily under-sampled and fat…
Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams
Andrew S. Nencka, Mohammad Sherafati, Timothy Goebel +2
Purpose: This study evaluates the effectiveness and impact of automated order-based protocol assignment for magnetic resonance imaging (MRI) exams using natural language processing…