74 citations · 262 across the 80 of their papers we have counts for
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Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
Ali K. Z. Tehrani, Md Ashikuzzaman, Hassan Rivaz
Convolutional Neural Networks (CNN) have shown promising results for displacement estimation in UltraSound Elastography (USE). Many modifications have been proposed to improve the…
Infusing known operators in convolutional neural networks for lateral strain imaging in ultrasound elastography
Ali K. Z. Tehrani, Hassan Rivaz
Convolutional Neural Networks (CNN) have been employed for displacement estimation in ultrasound elastography (USE). High-quality axial strains (derivative of the axial displacemen…
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…
Physics-Inspired Regularized Pulse-Echo Quantitative Ultrasound: Efficient Optimization with ADMM
Noushin Jafarpisheh, Laura Castaneda Martinez, Hayley Whitson +2
Pulse-echo Quantitative ultrasound (PEQUS), which estimates the quantitative properties of tissue microstructure, entails estimating the average attenuation and the backscatter coe…
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Bahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas +6
Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images play an essential role in surgical planning and resection of brain tumors. However, val…
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography
Ali K. Z. Tehrani, Hassan Rivaz
Displacement estimation is a critical step of virtually all Ultrasound Elastography (USE) techniques. Two main features make this task unique compared to the general optical flow p…
Deep Estimation of Speckle Statistics Parametric Images
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative Ultrasound (QUS) provides important information about the tissue properties. QUS parametric image can be formed by dividing the envelope data into small overlapping pa…
Inverse Problem of Ultrasound Beamforming with Denoising-Based Regularized Solutions
Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
During the past few years, inverse problem formulations of ultrasound beamforming have attracted a growing interest. They usually pose beamforming as a minimization problem of a fi…
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…
Robust Scatterer Number Density Segmentation of Ultrasound Images
Ali K. Z. Tehrani, Ivan M. Rosado-Mendez, Hassan Rivaz
Quantitative UltraSound (QUS) aims to reveal information about the tissue microstructure using backscattered echo signals from clinical scanners. Among different QUS parameters, sc…
Deep Ultrasound Denoising Without Clean Data
Sobhan Goudarzi, Hassan Rivaz
On one hand, the transmitted ultrasound beam gets attenuated as propagates through the tissue. On the other hand, the received Radio-Frequency (RF) data contains an additive Gaussi…
Second-Order Ultrasound Elastography with L1-norm Spatial Regularization
Md Ashikuzzaman, Hassan Rivaz
Time delay estimation (TDE) between two radio-frequency (RF) frames is one of the major steps of quasi-static ultrasound elastography, which detects tissue pathology by estimating…
Ultrasound Strain Imaging using ADMM
Md Ashikuzzaman, Hassan Rivaz
Ultrasound strain imaging, which delineates mechanical properties to detect tissue abnormalities, involves estimating the time-delay between two radio-frequency (RF) frames collect…