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Tam Nguyen

Associate Professor

University of Dayton

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

About

Tam Nguyen is an Associate Professor at the University of Dayton, USA. His research primarily focuses on computer vision, object detection, and medical imaging, as evidenced by his recent publications on topics such as 3D object part retrieval, few-shot object detection, and the application of artificial intelligence in healthcare. In addition, he explores innovative methodologies for data augmentation and image segmentation.

Articles (20)

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2025

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2023

Collaborators (3)

Tom Ongwere

University of Dayton

UNITED STATES

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Vatsa Patel

Assistant Professor

Pennsylvania State University Harrisburg

UNITED STATES

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Ngai-Man Cheung

Singapore University of Technology and Design

SINGAPORE

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Tam Nguyen

Research Interests

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About

Articles (20)

SHREC GS-3DORC: Towards the advancements of 3D Gaussian Splatting object part retrieval

DYNAFormer: Enhancing transformer segmentation with dynamic anchor mask for medical imaging

A comprehensive review of few-shot object detection on aerial imagery

GUNNEL: guided mixup augmentation and multi-model fusion for aquatic animal segmentation

Towards safer roads: benchmarking object detection models in complex weather scenarios

Few-shot object detection via synthetic features with optimal transport

Artificial Intelligence for Medication Management in Discordant Chronic Comorbidities: An Analysis from Healthcare Provider and Patient Perspectives

Correction: Real estate pricing prediction via textual and visual features

CAMUL: Context-Aware Multi-conditional Instance Synthesis for Image Segmentation

Nighttime scene understanding with label transfer scene parser

MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation

SketchANIMAR: Sketch-based 3D animal fine-grained retrieval

TextANIMAR: Text-based 3D animal fine-grained retrieval

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing

Abstraction-perception preserving cartoon face synthesis

Anomaly Analysis in Images and Videos: A Comprehensive Review

Context-aware safety assessment system for far-field monitoring

Collaborative Consultation Doctors Model: Unifying CNN and ViT for COVID-19 Diagnostic

Instance-Level Few-Shot Learning With Class Hierarchy Mining

UIT-ADrone: A Novel Drone Dataset for Traffic Anomaly Detection

Collaborators (3)

Tom Ongwere

Vatsa Patel

Ngai-Man Cheung

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