Trong Thang Pham
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Trong Thang Pham's research focuses on the development of artificial intelligence systems for medical imaging and animal health applications. He has published work on AI systems designed to decode radiologists' focus for improved chest X-ray diagnoses, including the creation of gaze datasets to enhance interpretability in report generation. Pham has also investigated AI for generating 2D talking heads and developing benchmarks for searching radiology findings. In the realm of animal health, his work includes creating datasets for cattle facial landmarks and developing automated systems for estimating cattle fever. Pham collaborates with researchers at the University of Arkansas at Fayetteville, including Nhat-Tan Bui, Chase Rainwater, Anthony L. Gunderman, and Taisei Hanyu.
Metrics
- h-index: 3
- Publications: 12
- Citations: 32
Selected Publications
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TolerantECG: A Foundation Model for Imperfect Electrocardiogram (2025)
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CattleFever: An automated cattle fever estimation system (2025)
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GazeSearch: Radiology Findings Search Benchmark (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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Style Transfer for 2D Talking Head Generation (2024)
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I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses (2024)
Collaboration Network
Top Collaborators
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
- Style Transfer for 2D Talking Head Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
- CattleFever: An automated cattle fever estimation system
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
- Style Transfer for 2D Talking Head Generation
- Style Transfer for 2D Talking Head Generation
- Style Transfer for 2D Talking Head Generation
- Style Transfer for 2D Talking Head Generation
- Style Transfer for 2D Talking Head Generation
- Style Transfer for 2D Talking Head Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
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