Trong Nguyen

ORCID: 0000-0003-4404-5836
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About
Contact & Profiles
Research Areas
  • Ultrasound and Hyperthermia Applications
  • Ultrasound Imaging and Elastography
  • Phonocardiography and Auscultation Techniques
  • Liver Disease Diagnosis and Treatment
  • Photoacoustic and Ultrasonic Imaging
  • Surgical Simulation and Training
  • Advanced MRI Techniques and Applications
  • Animal Virus Infections Studies
  • ECG Monitoring and Analysis
  • Viral gastroenteritis research and epidemiology
  • Microwave Imaging and Scattering Analysis
  • Nursing Diagnosis and Documentation
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Augmented Reality Applications
  • EEG and Brain-Computer Interfaces
  • Central Venous Catheters and Hemodialysis
  • 3D Modeling in Geospatial Applications
  • Intraoperative Neuromonitoring and Anesthetic Effects
  • COVID-19 diagnosis using AI
  • Sodium Intake and Health
  • Respiratory and Cough-Related Research
  • Analog and Mixed-Signal Circuit Design
  • Blood transfusion and management
  • Ultrasound and Cavitation Phenomena
  • Soft Robotics and Applications

National Hospital
2024

Fujian University of Technology
2024

IGI Technologies (United States)
2023

Children's National
2021-2023

University of Illinois Urbana-Champaign
2015-2020

Texas Tech University
2014

Ludwig-Maximilians-Universität München
2014

Brno University of Technology
2014

Heart sound segmentation has been shown to improve the performance of artificial intelligence (AI)-based auscultation decision support systems increasingly viewed as a solution compensate for eroding auscultatory skills and associated subjectivity. Various approaches with demonstrated can be utilized this task, but their robustness suffer in presence noise. A noise-robust heart algorithm was developed its accuracy tested using two datasets: CirCor DigiScope Phonocardiogram dataset an...

10.1109/access.2024.3351570 article EN cc-by IEEE Access 2024-01-01

(1) Background: Mastery of auscultation can be challenging for many healthcare providers. Artificial intelligence (AI)-powered digital support is emerging as an aid to assist with the interpretation auscultated sounds. A few AI-augmented stethoscopes exist but none are dedicated pediatrics. Our goal was develop a platform pediatric medicine. (2) Methods: We developed StethAid-a artificial intelligence-assisted and telehealth in pediatrics-that consists wireless stethoscope, mobile...

10.3390/s23125750 article EN cc-by Sensors 2023-06-20

Conventional ultrasound-guided vascular access procedures are challenging due to the need for anatomical understanding, precise needle manipulation, and hand-eye coordination. Recently, augmented reality (AR)-based guidance has emerged as an aid improve procedural efficiency potential outcomes. However, its application in pediatric not been comprehensively evaluated.

10.1117/1.jmi.11.6.062604 article EN Journal of Medical Imaging 2024-09-13

In an increasing number of applications focused ultrasound (FUS) therapy, such as opening the blood-brain barrier or collapsing microbubbles in a tumor, elevation tissue temperature is not involved. these cases, real-time visualization field distribution FUS source would allow localization beam within targeted and repositioning during motion. this paper, order to visualize situ, 6-MHz single-element transducer ( f /2) was used aligned perpendicular linear array which passively received...

10.1109/tmi.2018.2857481 article EN IEEE Transactions on Medical Imaging 2018-07-19

The objective of this article is to demonstrate the feasibility estimating backscatter coefficient (BSC) using an in situ calibration source. Traditional methods BSC vivo a reference phantom technique do not account for transmission losses due intervening layers between ultrasonic source and tissue region be interrogated, leading increases bias variance BSC-based estimates. To losses, approach proposed. employs titanium sphere that well-characterized ultrasonically, biocompatible, embedded...

10.1109/tuffc.2019.2944305 article EN cc-by IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 2019-09-28

The backscatter coefficient (BSC) describes the scattering properties of a medium and can be used to characterize tissue, such as fatty liver. To calculate BSC, calibration spectrum is needed, which acquired using reference phantom method before or after clinical scanning procedure complete. This requires yet another that disrupt busy flow. Therefore, we have explored use convolutional neural network (CNN) means eliminating an external step while still capable classifying liver disease in...

10.1109/ultsym.2019.8925666 article EN 2017 IEEE International Ultrasonics Symposium (IUS) 2019-10-01

Assessing asthma severity is inherently difficult because it highly subjective, often overlapping with symptoms of a common cold, and few objective tools currently exist for it. Our long-term goal to empower parents initiate timely treatment acute by supplementing their subjective assessment an scoring. Wheeze breath sound detection integral part developing such scoring system. We have developed mobile application coupled in-house digital stethoscope record classify lung sounds. In this...

10.1109/bigdata55660.2022.10021111 article EN 2021 IEEE International Conference on Big Data (Big Data) 2022-12-17

Abstract Auscultation is a critical component of cardiopulmonary examination; however, several studies have shown that many physicians lack proficiency in it. With the development artificial intelligence (AI)-augmented auscultation tools, could improve their skills and provide accurate diagnoses, even approaching expertise seasoned clinicians. Although few AI platforms been created, none adopted widely clinical settings. Our goal to develop comprehensive digital platform, termed StethAid,...

10.1115/dmd2023-8881 article EN 2017 Design of Medical Devices Conference 2023-04-17

Acquiring a reliable and accurate non-invasive fetal electrocardiogram has number of significant challenges historically in both data acquisition attenuation the interfering maternal cardiogram. These factors encompass physical/physiological parameters, hardware sensitivity, effectiveness signal processing algorithms separating electrocardiograms. In this paper, we defer discussion how parameters sensitivity affect extraction instead focus on evaluation algorithms. Here, propose...

10.2139/ssrn.4747966 preprint EN 2024-01-01

The accurate alignment of 3D woodblock geometrical models with 2D orthographic projection images presents a significant challenge in the digital preservation Vietnamese cultural heritage. This paper proposes unified image processing algorithm to address this issue, enhancing registration quality between and their representations. method includes determining plane character model, establishing transformation matrix align printed plane, creating parallel-projected depth map for precise...

10.48550/arxiv.2411.05524 preprint EN arXiv (Cornell University) 2024-11-08

High intensity focused ultrasound (HIFU) can provide a means of noninvasive ablation tissues such as tumors. However, currently the gold standard for monitoring HIFU is MRI temperature mapping. Because expense, lack portability and slow update maps from MRI, ultrasonic solutions to remain an important clinical goal. Real-time visualization field distribution source during treatment would allow localization intersection beam with tissue. in context tissue proper placement therapy especially...

10.1109/ultsym.2015.0314 article EN 2017 IEEE International Ultrasonics Symposium (IUS) 2015-10-01

Quantitative ultrasound (QUS) imaging can improve the diagnostic capabilities of ultrasound. Spectral-based QUS approaches utilize backscattered signals to extract additional information about tissue state. These technique have traditionally relied on scattering models differentiate However, use machine learning may obviate need for models. A model-based and model-free (principle component analysis (PCA)) approach spectral-based were compared their ability fatty from non-fatty liver in a...

10.1121/1.5035804 article EN The Journal of the Acoustical Society of America 2018-03-01

The backscatter coefficient (BSC) has demonstrated the ability to classify disease state and monitor changes in tissue due therapy. However, traditional methods of estimating BSC vivo using a reference phantom technique do not account for transmission losses intervening layers between ultrasonic source region be interrogated. result increases bias variance BSC-based estimates. To accurately losses, an situ calibration approach is proposed obtain more robust estimate BSC. employs use...

10.1109/ultsym.2018.8580156 article EN 2017 IEEE International Ultrasonics Symposium (IUS) 2018-10-01

To implement spectral-based quantitative ultrasound (QUS), currently it is necessary to take a reference scan from well-characterized tissue-mimicking material for each scanner setting that used. The purpose of this study was evaluate if reference-free approach could be adopted, which would eliminate the need multiple scans while still maintaining ability objectively classify different tissue states. Specifically, we utilized convolutional neural network (CNN) tissues and phantoms without...

10.1109/ultsym.2018.8579885 article EN 2017 IEEE International Ultrasonics Symposium (IUS) 2018-10-01

High intensity focused ultrasound (HIFU) can provide a means of noninvasive ablation or hyperthermia tissues such as tumors. Real-time monitoring the progression field distribution HIFU transducer during treatment is important for localizing intersection beam with tissue. By continuously visualizing in tissue, better positioning therapy be obtained treatment. To visualize passive listening technique was employed using beamforming approaches and linear array system co-aligned source. The made...

10.1109/ultsym.2014.0551 article EN IEEE International Ultrasonics Symposium 2014-09-01

Introduction: The endothelial glycocalyx is pivotal for a healthy vascular barrier. Recent data showed an increase of components in the circulating blood during normal pregnancy and HELLP-syndrome. We investigated, if there change integrity menstrual cycle, which could explain premenstrual edemas.

10.1055/s-0034-1387999 article EN Geburtshilfe und Frauenheilkunde 2014-09-05

10.1093/eurpub/ckw173.050 article EN European Journal of Public Health 2016-11-01
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