Truong Q. Nguyen
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View article: Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols
Adapted Foundation Models for Breast MRI Triaging in Contrast-Enhanced and Non-Contrast Enhanced Protocols Open
Background: Magnetic resonance imaging (MRI) has high sensitivity for breast cancer detection, but interpretation is time-consuming. Artificial intelligence may aid in pre-screening. Purpose: To evaluate the DINOv2-based Medical Slice Tran…
View article: Analysis of the Influence of Permanent Magnet Parameters on Cogging Torque in Line Start Permanent Magnet Synchronous Motors
Analysis of the Influence of Permanent Magnet Parameters on Cogging Torque in Line Start Permanent Magnet Synchronous Motors Open
Cogging torque in Line - Start Permanent Magnet Synchronous Motors (LSPMSMs) is influenced by various design parameters, among which the type and grade of permanent magnet (PM) play a significant role. This paper investigates the influence…
View article: Bi-modal Prediction and Transformation Coding for Compressing Complex Human Dynamics
Bi-modal Prediction and Transformation Coding for Compressing Complex Human Dynamics Open
For dynamic human motion sequences, the original KeyNode-Driven codec often struggles to retain compression efficiency when confronted with rapid movements or strong non-rigid deformations. This paper proposes a novel Bi-modal coding frame…
View article: NGHIÊN CỨU MỐI LIÊN QUAN GIỮA NỒNG ĐỘ ADIPONECTIN HUYẾT TƯƠNG VỚI MỘT SỐ ĐẶC ĐIỂM HUYẾT HỌC Ở BỆNH NHÂN UNG THƯ BIỂU MÔ DẠ DÀY
NGHIÊN CỨU MỐI LIÊN QUAN GIỮA NỒNG ĐỘ ADIPONECTIN HUYẾT TƯƠNG VỚI MỘT SỐ ĐẶC ĐIỂM HUYẾT HỌC Ở BỆNH NHÂN UNG THƯ BIỂU MÔ DẠ DÀY Open
Mục tiêu: Khảo sát mối liên quan giữa nồng độ adiponectin huyết tương và một số đặc điểm huyết học ở bệnh nhân ung thư biểu mô dạ dày. Đối tượng, phương pháp: Nghiên cứu mô tả có theo dõi dọc trên 68 bệnh nhân ung thư biểu mô dạ dày được p…
View article: Image-Conditioned 3D Gaussian Splat Quantization
Image-Conditioned 3D Gaussian Splat Quantization Open
3D Gaussian Splatting (3DGS) has attracted considerable attention for enabling high-quality real-time rendering. Although 3DGS compression methods have been proposed for deployment on storage-constrained devices, two limitations hinder arc…
View article: Universal Wavelet Units in 3D Retinal Layer Segmentation
Universal Wavelet Units in 3D Retinal Layer Segmentation Open
This paper presents the first study to apply tunable wavelet units (UwUs) for 3D retinal layer segmentation from Optical Coherence Tomography (OCT) volumes. To overcome the limitations of conventional max-pooling, we integrate three wavele…
View article: Pointwise Structure–Function Analysis of the Ellipsoid Zone in Retinitis Pigmentosa Using an Artificial Intelligence-Assisted OCT and Microperimetry Overlay
Pointwise Structure–Function Analysis of the Ellipsoid Zone in Retinitis Pigmentosa Using an Artificial Intelligence-Assisted OCT and Microperimetry Overlay Open
View article: Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems
Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems Open
This work introduces a stop-band energy constraint for filters in orthogonal tunable wavelet units with a lattice structure, aimed at improving image classification and anomaly detection in CNNs, especially on texture-rich datasets. Integr…
View article: End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning
End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning Open
Existing works on Binary Neural Network (BNN) mainly focus on model's weights and activations while discarding considerations on the input raw data. This article introduces Generic Learned Thermometer (GLT), an encoding technique to improv…
View article: Universal Vessel Segmentation for Multi-Modality Retinal Images
Universal Vessel Segmentation for Multi-Modality Retinal Images Open
We identify two major limitations in the existing studies on retinal vessel segmentation: (1) Most existing works are restricted to one modality, i.e., the Color Fundus (CF). However, multi-modality retinal images are used every day in the…
View article: KeyNode-Driven Geometry Coding for Real-World Scanned Human Dynamic Mesh Compression
KeyNode-Driven Geometry Coding for Real-World Scanned Human Dynamic Mesh Compression Open
The compression of real-world scanned 3D human dynamic meshes is an emerging research area, driven by applications such as telepresence, virtual reality, and 3D digital streaming. Unlike synthesized dynamic meshes with fixed topology, scan…
View article: Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems
Biorthogonal Lattice Tunable Wavelet Units and Their Implementation in Convolutional Neural Networks for Computer Vision Problems Open
This work introduces a universal wavelet unit constructed with a biorthogonal lattice structure which is a novel tunable wavelet unit to enhance image classification and anomaly detection in convolutional neural networks by reducing inform…
View article: Enhancing Healthcare Data Integration: A Machine Learning Approach to Harmonizing Laboratory Labels.
Enhancing Healthcare Data Integration: A Machine Learning Approach to Harmonizing Laboratory Labels. Open
Variations in laboratory test names across healthcare systems-stemming from inconsistent terminologies, abbreviations, misspellings, and assay vendors-pose significant challenges to the integration and analysis of clinical data. These disc…
View article: Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching
Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching Open
Topological correctness is critical for segmentation of tubular structures, which pervade in biomedical images. Existing topological segmentation loss functions are primarily based on the persistent homology of the image. They match the pe…
View article: Cross-instrument optical coherence tomography-angiography (OCTA)-based prediction of age-related macular degeneration (AMD) disease activity using artificial intelligence
Cross-instrument optical coherence tomography-angiography (OCTA)-based prediction of age-related macular degeneration (AMD) disease activity using artificial intelligence Open
This study investigates the efficacy of predicting age-related macular degeneration (AMD) activity through deep neural networks (DNN) using a cross-instrument training dataset composed of Optical coherence tomography-angiography (OCTA) ima…
View article: Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging
Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging Open
View article: Translational Engineering Education: A New Paradigm for Preparing Next-Generation Engineers for the 21st Century Workforce
Translational Engineering Education: A New Paradigm for Preparing Next-Generation Engineers for the 21st Century Workforce Open
This theory paper introduces translational engineering education (TEE), the concept of supporting students as they translate the education they receive into valuable real-world skills and practices as engineers. Traditionally, scientific d…
View article: Board 85: Work in Progress: Asset-Driven Equitable Partnerships (ADEP in Practice)
Board 85: Work in Progress: Asset-Driven Equitable Partnerships (ADEP in Practice) Open
The mission of the XXX is to enable MSI ECE programs to produce more and better prepared graduates from groups that have been historically underrepresented in ECE careers. We hypothesize that the key to achieving this goal is more fully en…
View article: OCTA-based AMD Stage Grading Enhancement via Class-Conditioned Style Transfer
OCTA-based AMD Stage Grading Enhancement via Class-Conditioned Style Transfer Open
Optical Coherence Tomography Angiography (OCTA) is a promising diagnostic tool for age-related macular degeneration (AMD), providing non-invasive visualization of sub-retinal vascular networks. This research explores the effectiveness of d…
View article: Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans Open
Multi-phase computed tomography (CT) scans use contrast agents to highlight different anatomical structures within the body to improve the probability of identifying and detecting anatomical structures of interest and abnormalities such as…
View article: Resting-state global brain activity induces bias in fMRI motion estimates
Resting-state global brain activity induces bias in fMRI motion estimates Open
Head motion is a significant source of artifacts in resting-state fMRI (rsfMRI) studies and has been shown to affect resting-state functional connectivity (rsFC) measurements. In many rsfMRI studies, motion parameters estimated from volume…
View article: MonoSelfRecon: Purely Self-Supervised Explicit Generalizable 3D Reconstruction of Indoor Scenes from Monocular RGB Views
MonoSelfRecon: Purely Self-Supervised Explicit Generalizable 3D Reconstruction of Indoor Scenes from Monocular RGB Views Open
Current monocular 3D scene reconstruction (3DR) works are either fully-supervised, or not generalizable, or implicit in 3D representation. We propose a novel framework - MonoSelfRecon that for the first time achieves explicit 3D mesh recon…
View article: AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement Open
Facial action unit (AU) intensity plays a pivotal role in quantifying fine-grained expression behaviors, which is an effective condition for facial expression manipulation. However, publicly available datasets containing intensity annotati…
View article: Project in a Box: Self-Contained Instructional Hands-On Kits for Electrical Engineering Outreach
Project in a Box: Self-Contained Instructional Hands-On Kits for Electrical Engineering Outreach Open
It is an exciting time in STEM education as more technologies have become affordable and readily available with online support structures and forums. Teaching and engaging the younger generation of students to encourage a pathway to STEM i…
View article: Virtual Technical and Professional Development Program for ECE Internship Preparation
Virtual Technical and Professional Development Program for ECE Internship Preparation Open
Increasingly, engineering students are expected to have a strong record of technical skills as well as professional development skills before they enter a globally competitive workforce. Typically, students attain these skills at the unive…
View article: A Lattice-Structure-Based Trainable Orthogonal Wavelet Unit for Image Classification
A Lattice-Structure-Based Trainable Orthogonal Wavelet Unit for Image Classification Open
This work introduces Orthogonal Lattice Universal Wavelet Unit, a novel trainable wavelet unit to enhance image classification and anomaly detection in convolutional neural networks by reducing information loss during pooling. The unit emp…
View article: Ultra-wide field and new wide field composite retinal image registration with AI-enabled pipeline and 3D distortion correction algorithm
Ultra-wide field and new wide field composite retinal image registration with AI-enabled pipeline and 3D distortion correction algorithm Open
Purpose This study aimed to compare a new Artificial Intelligence (AI) method to conventional mathematical warping in accurately overlaying peripheral retinal vessels from two different imaging devices: confocal scanning laser ophthalmosco…
View article: ARTIFICIAL INTELLIGENCE FOR OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY–BASED DISEASE ACTIVITY PREDICTION IN AGE-RELATED MACULAR DEGENERATION
ARTIFICIAL INTELLIGENCE FOR OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY–BASED DISEASE ACTIVITY PREDICTION IN AGE-RELATED MACULAR DEGENERATION Open
Purpose: The authors hypothesize that optical coherence tomography angiography (OCTA)–visualized vascular morphology may be a predictor of choroidal neovascularization status in age-related macular degeneration (AMD). The authors thus eval…
View article: Resting state global brain activity induces bias in fMRI motion estimates
Resting state global brain activity induces bias in fMRI motion estimates Open
Head motion is a significant source of artifacts in resting-state fMRI (rsfMRI) studies and has been shown to affect resting-state functional connectivity (rsFC) measurements. In many rsfMRI studies, motion parameters estimated from volume…
View article: Robust AMD Stage Grading with Exclusively OCTA Modality Leveraging 3D Volume
Robust AMD Stage Grading with Exclusively OCTA Modality Leveraging 3D Volume Open
Age-related Macular Degeneration (AMD) is a degenerative eye disease that causes central vision loss. Optical Coherence Tomography Angiography (OCTA) is an emerging imaging modality that aids in the diagnosis of AMD by displaying the patho…