1 citations · 1 across the 1 of their papers we have counts for
5 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…
Split Slice Training Augmentation and Hyperparameter Tuning of RAKI Networks for Simultaneous Multi-Slice Reconstruction
Andrew S. Nencka, PhD, Volkan E. Arpinar +7
Split-slice augmentation for simultaneous multi-slice RAKI networks positively impacts network performance. Hyperparameter tuning of such reconstruction networks can lead to furthe…