T
Trong Thang Pham Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
3 h-index
12 pubs
32 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Trong Thang Pham's research centers on the application of artificial intelligence and computer vision to medical imaging and related domains. His recent work includes developing controllable and interpretable AI systems for decoding radiologists' focus in chest X-ray diagnoses, as well as creating datasets to enhance interpretability in chest X-ray report generation. Pham has also investigated AI applications in other areas, such as generating 2D talking heads through style transfer, creating benchmarks for cattle facial landmark detection using RGB-T data, and developing foundation models for imperfect electrocardiograms. His research network includes collaborators from the University of Arkansas at Fayetteville, such as Nhat-Tan Bui, Chase Rainwater, Anthony L. Gunderman, and Taisei Hanyu, with whom he has co-authored multiple publications. Pham's work demonstrates a focus on improving diagnostic accuracy and interpretability in medical AI, alongside explorations into broader computer vision challenges.
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
Ngan Le
5 shared publications
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
- CattleFever: An automated cattle fever estimation system
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
- Clutter-Resistant Vision-Language-Action Models through Object-Centric and Geometry Grounding
Ngan Le
University of Arkansas at Fayetteville (US)
4 shared publications
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- Style Transfer for 2D Talking Head Generation
- I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
Carol C. Wu
The University of Texas MD Anderson Cancer Center (US)
4 shared publications
- 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
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Hien Nguyen
University of Houston (US)
3 shared publications
- 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
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Nhat-Tan Bui
University of Arkansas at Fayetteville
3 shared publications
In database
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Jacob Brecheisen
University of Arkansas at Fayetteville
2 shared publications
In database
- 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
Ethan Coffman
University of Arkansas at Fayetteville (US)
2 shared publications
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- CattleFever: An automated cattle fever estimation system
E. B. Kegley
University of Arkansas at Fayetteville
2 shared publications
In database
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- CattleFever: An automated cattle fever estimation system
Jeremy G Powell
University of Arkansas at Fayetteville
2 shared publications
In database
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- CattleFever: An automated cattle fever estimation system
Jiangchao Zhao
University of Arkansas at Fayetteville
2 shared publications
In database
- CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
- CattleFever: An automated cattle fever estimation system
Tien-Phat Nguyen
Vietnam National University Ho Chi Minh City (VN)
2 shared publications
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
Yoshiko Ikebe
University of Arkansas at Fayetteville
2 shared publications
In database
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
Akash Awasthi
University of Houston (US)
2 shared publications
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
Zhigang Deng
University of Houston (US)
2 shared publications
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
Hien D. Nguyen
University of Houston (US)
2 shared publications
- GazeSearch: Radiology Findings Search Benchmark
- GazeSearch: Radiology Findings Search Benchmark
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