Nhat-Tan Bui Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Nhat-Tan Bui's research focuses on the development and application of advanced neural network architectures for medical image analysis. His recent work includes the creation of MEGANet, a multi-scale edge-guided attention network designed for polyp segmentation, and SAM3D, which adapts the Segment Anything Model for volumetric medical images. Bui has also investigated positional embedding features for polyp segmentation, as seen in PEFNet and a ConvNeXt-based approach. His research extends to real-time anomaly detection in electrocardiogram (ECG) data using the TSRNET framework. Bui collaborates with researchers at the University of Arkansas at Fayetteville, including Trong Thang Pham, Ngoc-Vuong Ho, and Thinh Phan. He has published 21 papers, accumulating 235 citations and an h-index of 7.
Metrics
- h-index: 7
- Publications: 21
- Citations: 235
Selected Publications
- NeIn: Telling What You Don't Want (2025) DOI
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024) DOI
- PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification (2024) DOI
- MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation (2024) DOI
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