activity
20222024
most citedImproving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

Difference Autocorrelation: A Novel Approach to Estimate Shear Wave Speed in the Presence of Compression Waves

Hamidreza Asemani, Jannick P. Rolland, Kevin J. Parker

In share wave elastography (SWE), the aim is to measure the velocity of shear waves, however unwanted compression waves and bulk tissue motion pose challenges in evaluating tissue…

physics.med-ph2024

Multiparametric quantification and visualization of liver fat using ultrasound

Jihye Baek, Ahmed El Kaffas, Aya Kamaya +2

Objectives- Several ultrasound measures have shown promise for assessment of steatosis compared to traditional B-scan, however clinicians may be required to integrate information a…

eess.IV2024

Angular Integral Autocorrelation for Speed Estimation in Shear Wave Elastography

Hamidreza Asemani, Irteza Enan Kabir, Juvenal Ormachea +3

The utilization of a reverberant shear wave field in shear wave elastography has emerged as a promising technique for achieving robust shear wave speed (SWS) estimation. However, a…

eess.IV2023

WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound

Donya Khaledyan, Thomas J. Marini, Avice OConnell +6

Objective. Limited access to breast cancer diagnosis globally leads to delayed treatment. Ultrasound, an effective yet underutilized method, requires specialized training for sonog…

physics.med-ph2023

Limitations of curl and directional filters in elastography

Kevin J. Parker

In the approaches to elastography, two mathematical operations have been frequently applied to improve the final estimate of shear wave speed and shear modulus of tissues. The vect…

eess.IV20221 cited

Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning

Jihye Baek, Avice M. O'Connell, Kevin J. Parker

The improved diagnostic accuracy of ultrasound breast examinations remains an important goal. In this study, we propose a biophysical feature based machine learning method for brea…