Duong-Hung Pham
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View article: GLUS: Guidance Loss Driven Plug-and-Play Diffusion for Ultrasound Image Super-Resolution
GLUS: Guidance Loss Driven Plug-and-Play Diffusion for Ultrasound Image Super-Resolution Open
This paper introduces GLUS, a novel training-free plugand-play framework for ultrasound (US) super-resolution. GLUS extends the residual plug-and-play paradigm by incorporating a tailored guidance energy function to capture the domain-spec…
View article: Spatially Variant Ultrasound Image Restoration With Product Convolution
Spatially Variant Ultrasound Image Restoration With Product Convolution Open
The process of ultrasound (US) image formation can generally be modeled, using a linear and shift invariance approximation, as a convolution. In practice, the point spread function (PSF) is shift-variant. Here, we consider the restoration …
View article: SMOS: A streamlined model-based optimization approach for super-resolution ultrasound localization microscopy
SMOS: A streamlined model-based optimization approach for super-resolution ultrasound localization microscopy Open
Ultrasound Localization Microscopy (ULM) represents a significant advancement over conventional ultrasound (US) imaging, for reconstructing microvascular structures with micrometer-scale precision. However, existing model-based ULM approac…
View article: A Data-Driven Framework for Fault Diagnostics in Gearbox Health Monitoring Under Non-Stationary Conditions
A Data-Driven Framework for Fault Diagnostics in Gearbox Health Monitoring Under Non-Stationary Conditions Open
Monitoring gearbox health is essential in industrial systems, where undetected faults can result in costly downtime and severe equipment damage. While vibration-based diagnostics are widely utilized for fault detection, analyzing large-sca…
View article: THE LASER ATTENUATION AND OBSCURANT EFFICIENCY OF SCREENING SMOKE
THE LASER ATTENUATION AND OBSCURANT EFFICIENCY OF SCREENING SMOKE Open
The concealment capability is one of the most important characteristics of smoke screens used in military camouflage. In this article, the influence of several factors (i.e., the formulation, sample mass, and environmental conditions) on t…
View article: Computational Super-Resolution for Ultrasound Localization Microscopy Through Solving an Inverse Problem
Computational Super-Resolution for Ultrasound Localization Microscopy Through Solving an Inverse Problem Open
Ultrasound localization microscopy (ULM) represents a significant advancement over traditional ultrasound (US) imaging, enabling super-resolution (SR) imaging of microvascular structures with unprecedented detail, by using microbubbles (MB…
View article: PlaSo: Unsupervised Residual <b>Pl</b> ug and Pl <b>a</b> y for Image <b>S</b> uper-Res <b>o</b> lution
PlaSo: Unsupervised Residual <b>Pl</b> ug and Pl <b>a</b> y for Image <b>S</b> uper-Res <b>o</b> lution Open
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View article: Advanced Large-Scale Data Processing Method for Monitoring Gearbox Health Under Non-Stationary Conditions
Advanced Large-Scale Data Processing Method for Monitoring Gearbox Health Under Non-Stationary Conditions Open
View article: CONVERGENCE STUDY ON ASYMMETRICALLY FLEXURAL PROBLEM OF COLD-FORMED CHANNEL SECTIONS
CONVERGENCE STUDY ON ASYMMETRICALLY FLEXURAL PROBLEM OF COLD-FORMED CHANNEL SECTIONS Open
Current Direct Strength Method equations computing flexural strength of cold-form members were reported to be over-conservative when applied to members bent about the asymmetrical axis. Finite Element Analysis was used to develop new equat…
View article: A NOVEL TOOL FOR EXTRACTING FREQUENCY CURVES FROM LARGE-SCALE DATA TO DETECT ROLLING BEARING FAULTS UNDER NON-STATIONARY CONDITIONS
A NOVEL TOOL FOR EXTRACTING FREQUENCY CURVES FROM LARGE-SCALE DATA TO DETECT ROLLING BEARING FAULTS UNDER NON-STATIONARY CONDITIONS Open
Investigating vibrations in mechanical transmission systems to detect and identify the causes of abnormal vibrations remains a prominent focus for researchers. Within industrial transmission systems, rolling bearings play a pivotal role. U…
View article: A distinguished deep learning method for gear fault classification using time–frequency representation
A distinguished deep learning method for gear fault classification using time–frequency representation Open
Fault diagnosis of gearboxes has attracted increasing interest in recent decades due to their ubiquity and importance in the industry. Modern research trends focus on developing a diagnosis system that works automatically with the applicat…
View article: Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth Open
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View article: Deep Unfolding RPCA for High-Resolution Flow Estimation
Deep Unfolding RPCA for High-Resolution Flow Estimation Open
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View article: Motion compensation for the estimation of high-resolution blood flow in ultrafast ultrasound imaging
Motion compensation for the estimation of high-resolution blood flow in ultrafast ultrasound imaging Open
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View article: Block-Wise 3D Ultrasound Image Super-Resolution
Block-Wise 3D Ultrasound Image Super-Resolution Open
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View article: A Novel Fast 3d Single Image Super-Resolution Algorithm
A Novel Fast 3d Single Image Super-Resolution Algorithm Open
This paper introduces a novel computationally efficient method of solving the 3D single image super-resolution (SR) problem, i.e., reconstruction of a high-resolution volume from its low-resolution counterpart. The main contribution lies i…
View article: Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem
Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem Open
This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence. More precisely, it consists in a new fast alternating minimization algorithm that im…
View article: Fast High Resolution Blood Flow Estimation and Clutter Rejection via an\n Alternating Optimization Problem
Fast High Resolution Blood Flow Estimation and Clutter Rejection via an\n Alternating Optimization Problem Open
This paper introduces a computationally efficient technique for estimating\nhigh-resolution Doppler blood flow from an ultrafast ultrasound image sequence.\nMore precisely, it consists in a new fast alternating minimization algorithm\nthat…
View article: On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals
On the use of short-time fourier transform and synchrosqueezing-based demodulation for the retrieval of the modes of multicomponent signals Open
View article: Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging Open
This paper addresses the problem of high-resolution Doppler blood flow estimation from an ultrafast sequence of ultrasound images. Formulating the separation of clutter and blood components as an inverse problem has been shown in the liter…
View article: Joint Blind Deconvolution and Robust Principal Component Analysis for\n Blood Flow Estimation in Medical Ultrasound Imaging
Joint Blind Deconvolution and Robust Principal Component Analysis for\n Blood Flow Estimation in Medical Ultrasound Imaging Open
This paper addresses the problem of high-resolution Doppler blood flow\nestimation from an ultrafast sequence of ultrasound images. Formulating the\nseparation of clutter and blood components as an inverse problem has been shown\nin the li…
View article: On the Use of Rényi Entropy for Optimal Window Size Computation in the Short-Time Fourier Transform
On the Use of Rényi Entropy for Optimal Window Size Computation in the Short-Time Fourier Transform Open
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View article: Fully Adaptive Ridge Detection Based on STFT Phase Information
Fully Adaptive Ridge Detection Based on STFT Phase Information Open
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View article: Demodulation Algorithm Based on Higher Order Synchrosqueezing
Demodulation Algorithm Based on Higher Order Synchrosqueezing Open
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View article: Synchrosqueezing transforms: From low- to high-frequency modulations and perspectives
Synchrosqueezing transforms: From low- to high-frequency modulations and perspectives Open
The general aim of this paper is to introduce the concept of synchrosqueezing transforms (SSTs) that was developed to sharpen linear time–frequency representations (TFRs), like the short-time Fourier or the continuous wavelet transforms, i…
View article: Second-order Synchrosqueezing Transform: The Wavelet Case, Comparisons and Applications
Second-order Synchrosqueezing Transform: The Wavelet Case, Comparisons and Applications Open
This paper addresses the analysis of the time-frequency technique so-called the second-order synchrosqueezing transform derived from continuous wavelet transform of multicomponent AM-FM signals. Such a technique is designed to deal with si…
View article: Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform
Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform Open
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View article: Contributions à l'analyse des signaux multicomposantes : synchrosqueezing et méthodes associées
Contributions à l'analyse des signaux multicomposantes : synchrosqueezing et méthodes associées Open
De nombreux signaux physiques incluant des signaux audio (musique, parole), médicaux (ECG, PCG), de mammifères marins ou d'ondes gravitationnelles peuvent être modélisés comme une superposition d'ondes modulées en amplitude et en fréquence…
View article: Phonocardiogram Signal Denoising Based on Nonnegative Matrix Factorization and Adaptive Contour Representation Computation
Phonocardiogram Signal Denoising Based on Nonnegative Matrix Factorization and Adaptive Contour Representation Computation Open
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View article: A Novel Thresholding Technique for the Denoising of Multicomponent Signals
A Novel Thresholding Technique for the Denoising of Multicomponent Signals Open
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