14 citations · 28 across the 6 of their papers we have counts for
6 papers
A deep learning approach to using wearable seismocardiography (SCG) for diagnosing aortic valve stenosis and predicting aortic hemodynamics obtained by 4D flow MRI
Mahmoud E. Khani, Ethan M. I. Johnson, Aparna Sodhi +4
In this paper, we explored the use of deep learning for the prediction of aortic flow metrics obtained using 4D flow MRI using wearable seismocardiography (SCG) devices. 4D flow MR…
MRI-MECH: Mechanics-informed MRI to estimate esophageal health
Sourav Halder, Ethan M. Johnson, Jun Yamasaki +4
Dynamic magnetic resonance imaging (MRI) is a popular medical imaging technique to generate image sequences of the flow of a contrast material inside tissues and organs. However, i…
Fluid-structure instability forecasts thoracic aortic aneurysm progression
Tom Y. Zhao, Ethan M. I. Johnson, Guy Elisha +5
The basic mechanism driving aneurysm growth is unknown. Currently, clinical diagnosis of an aneurysm is mainly informed by retrospective tracking of its size and growth rate. Howev…
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
Lukas Graf, Tobias Harks, Kostas Kollias +1
We study a dynamic traffic assignment model, where agents base their instantaneous routing decisions on real-time delay predictions. We formulate a mathematically concise model and…
4D-Flow MRI Pressure Estimation Using Velocity Measurement-Error based Weighted Least-Squares
Jiacheng Zhang, Melissa C. Brindise, Sean Rothenberger +5
This work introduces a 4D-flow magnetic resonance imaging (MRI) pressure reconstruction method which employs weighted least-squares (WLS) for pressure integration. Pressure gradien…
Patient-Specific Cerebral Aneurysm Hemodynamics: Comparison of in vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI
Melissa C. Brindise, Sean Rothenberger, Benjamin Dickerhoff +5
Typical approaches to patient-specific hemodynamic studies of cerebral aneurysms use image based computational fluid dynamics (CFD) and seek to statistically correlate parameters s…