8 citations · 14 across the 19 of their papers we have counts for
26 papers
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative ultrasound (QUS) allows estimating the intrinsic tissue properties. Speckle statistics are the QUS parameters that describe the first order statistics of ultrasound (U…
Transformer-Based Microbubble Localization
Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz
Ultrasound Localization Microscopy (ULM) is an emerging technique that employs the localization of echogenic microbubbles (MBs) to finely sample and image the microcirculation beyo…
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy
Md Ashikuzzaman, Brandon Helfield, Hassan Rivaz
Ultrasound localization microscopy (ULM) refers to a promising medical imaging modality that systematically leverages the advantages of contrast-enhanced ultrasound (CEUS) to surpa…
DiffeoRaptor: Diffeomorphic Inter-modal Image Registration using RaPTOR
Nima Masoumi, Hassan Rivaz, M. Omair Ahmad +1
Purpose: Diffeomorphic image registration is essential in many medical imaging applications. Several registration algorithms of such type have been proposed, but primarily for intr…
Incorporating Gradient Similarity for Robust Time Delay Estimation in Ultrasound Elastography
Md Ashikuzzaman, Timothy J. Hall, Hassan Rivaz
Energy-based ultrasound elastography techniques minimize a regularized cost function consisting of data and continuity terms to obtain local displacement estimates based on the loc…
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation
Ali K. Z. Tehrani, Mostafa Sharifzadeh, Emad Boctor +1
The performance of ultrasound elastography (USE) heavily depends on the accuracy of displacement estimation. Recently, Convolutional Neural Networks (CNN) have shown promising perf…