Tran-Dac-Thinh Phan Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
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Biography and Research Information
OverviewAI-generated summary
Tran-Dac-Thinh Phan's research investigates the application of artificial intelligence and machine learning techniques to complex biological and agricultural challenges. His work includes developing convolutional neural networks for EEG-based emotion recognition and utilizing U-Net architectures for skin lesion segmentation. Phan has also explored 3D skeletal joint analysis for hand gesture classification. In agricultural applications, his research has focused on automated tracking systems for poultry, such as the DeepBroilerTrack and BroilerTrack projects, aiming to improve livestock management. Further research includes developing automated systems for chick sexing from facial images and exploring optical techniques for diagnosing lower urinary tract disorders. Phan has collaborated with researchers from the University of Arkansas at Fayetteville and the Arkansas Agricultural Experiment Station on multiple projects.
Metrics
- h-index: 4
- Publications: 11
- Citations: 108
Selected Publications
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DeepBroilerTrack: End-to-End Automatic Tracking of Multiple Broilers Using Multiple Cameras (2025)
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BroilerTrack: Automatic multi-camera multi-broiler tracking (2025)
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Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision (2025)
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Facial chick sexing: An automated chick sexing system from chick facial image (2025)
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Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image (2025)
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024)
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ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection (2024)
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