Scatterer size estimation for ultrasound tissue characterization: A survey
Quantitative ultrasound is a cutting-edge ultrasound technology which can measure
quantified information related to tissue or material microstructures from ultrasound …
quantified information related to tissue or material microstructures from ultrasound …
The big bang of deep learning in ultrasound-guided surgery: a review
Ultrasound (US) imaging is a paramount modality in many image-guided surgeries and
percutaneous interventions, thanks to its high portability, temporal resolution, and cost …
percutaneous interventions, thanks to its high portability, temporal resolution, and cost …
Calibrating data mismatches in deep learning-based quantitative ultrasound using setting transfer functions
Deep learning (DL) can fail when there are data mismatches between training and testing
data distributions. Due to its operator-dependent nature, acquisition-related data …
data distributions. Due to its operator-dependent nature, acquisition-related data …
[HTML][HTML] Multimodality quantitative ultrasound envelope statistics imaging based support vector machines for characterizing tissue scatterer distribution patterns …
Ultrasound envelope statistics imaging, including ultrasound Nakagami imaging,
homodyned-K imaging, and information entropy imaging, is an important group of …
homodyned-K imaging, and information entropy imaging, is an important group of …
Homodyned k-distribution: parameter estimation and uncertainty quantification using bayesian neural networks
AKZ Tehrani, IM Rosado-Mendez… - 2023 IEEE 20th …, 2023 - ieeexplore.ieee.org
Quantitative ultrasound (QUS) allows estimating the intrinsic tissue properties. Speckle
statistics are the QUS parameters that describe the first order statistics of ultrasound (US) …
statistics are the QUS parameters that describe the first order statistics of ultrasound (US) …
Ultrasound normalized cumulative residual entropy imaging: Theory, methodology, and application
Abstract Background and Objective: Ultrasound information entropy imaging is an emerging
quantitative ultrasound technique for characterizing local tissue scatterer concentrations and …
quantitative ultrasound technique for characterizing local tissue scatterer concentrations and …
A deep learning approach for patchless estimation of ultrasound quantitative parametric image with uncertainty measurement
AKZ Tehrani, IM Rosado-Mendez… - Medical Imaging …, 2023 - spiedigitallibrary.org
Quantitative ultrasound (QUS) aims to find properties of scatterers which are related to the
tissue microstructure. Among different QUS parameters, scatterer number density has been …
tissue microstructure. Among different QUS parameters, scatterer number density has been …
AIVUS: guidewire artifacts inpainting for intravascular ultrasound imaging with united spatiotemporal aggregation learning
The Intravascular Ultrasound (IVUS) technology is an important imaging modality used in
realistic clinical practice, it is often combined with coronary angiography (CAG) to diagnose …
realistic clinical practice, it is often combined with coronary angiography (CAG) to diagnose …
Machine-to-Machine Transfer Function in Deep Learning-Based Quantitative Ultrasound
A transfer function approach was recently demonstrated to mitigate data mismatches at the
acquisition level for a single ultrasound scanner in deep learning (DL)-based quantitative …
acquisition level for a single ultrasound scanner in deep learning (DL)-based quantitative …
The Art of the Steal: Purloining Deep Learning Models Developed for an Ultrasound Scanner to a Competitor Machine
A transfer function approach has recently proven effective for calibrating deep learning (DL)
algorithms in quantitative ultrasound (QUS), addressing data shifts at both the acquisition …
algorithms in quantitative ultrasound (QUS), addressing data shifts at both the acquisition …