6 citations · 33 across the 13 of their papers we have counts for
13 papers
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.…
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…
Diffusion propagator metrics are biased when simultaneous multi-slice acceleration is used
L. Tugan Muftuler, Andrew S. Nencka, Kevin M. Koch
Advanced diffusion MRI models are being explored to study the complex microstructure of the brain with higher accuracy. However, these techniques require long acquisition times. Si…
Weakly-supervised Learning for Single-step Quantitative Susceptibility Mapping
Juan Liu, Kevin M Koch
Quantitative susceptibility mapping (QSM) utilizes MRI phase information to estimate tissue magnetic susceptibility. The generation of QSM requires solving ill-posed background fie…
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…