T. Hoang Ngan Le

Assistant Professor

University of Arkansas

United States

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About

T. Hoang Ngan Le is an Assistant Professor at the University of Arkansas in the United States. His research areas include automated tracking systems, artificial intelligence applications in radiology, and advanced deep learning techniques for solar energy profiling. Recent publications highlight his work on multi-camera tracking, automated chick sexing, and improving detection methods in chest radiographs through the integration of AI and human expertise.

Articles (19)

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Collaborators (2)

Roy McCann

Professor

University of Arkansas

UNITED STATES

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Kashu Yamazaki

Carnegie Mellon University

UNITED STATES

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T. Hoang Ngan Le

Research Interests

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Articles (19)

S3Former: A Deep Learning Approach to High Resolution Solar PV Profiling

SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation

BroilerTrack: Automatic multi-camera multi-broiler tracking

Facial chick sexing: An automated chick sexing system from chick facial image

Structural chain of thoughts for radiology education

Collaborative Integration of AI and Human Expertise to Improve Detection of Chest Radiograph Abnormalities

A2VIS: Amodal-Aware Approach to Video Instance Segmentation

Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions

Multi-camera multi-object tracking on the move via single-stage global association approach

sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification

AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation

Non-volume preserving-based fusion to group-level emotion recognition on crowd videos

Spiking Neural Networks and Their Applications: A Review

Deep reinforcement learning in computer vision: a comprehensive survey

Deep reinforcement learning in medical imaging: A literature review

Narrow Band Active Contour Attention Model for Medical Segmentation

Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation

Collaborators (2)

Roy McCann

Kashu Yamazaki

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