Nhat-Tan Bui Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas
Last publication 2025 Last refreshed 2026-05-23

faculty

7 h-index 22 pubs 279 cited

Research Areas

Links

ORCID Lab Website Research Group

OverviewAI-generated summary

Nhat-Tan Bui's research focuses on the application of advanced computational techniques, particularly neural networks, to medical image analysis and segmentation. His recent work includes the development of networks such as MEGANet for polyp segmentation, which addresses challenges with weak boundaries, and the application of models like SAM3D for segmenting volumetric medical images. Bui has also investigated real-time anomaly detection in electrocardiogram (ECG) data using multimodal time and spectrogram restoration networks (TSRNET). His scholarly contributions are reflected in a citation count of 246 and an h-index of 7 across 21 publications. He has collaborated with several researchers at the University of Arkansas at Fayetteville, including Trong Thang Pham, Ngoc-Vuong Ho, and Thinh Phan.

Metrics

  • h-index: 7
  • Publications: 22
  • Citations: 279

Selected Publications

  • Synthetic Dataset for Understanding Negation in Text-Guided Image Editing (2025)
    OpenAlex
  • NeIn: Telling What You Don't Want (2025)
    1 citation DOI OpenAlex
  • FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024)
    5 citations DOI OpenAlex
  • PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification (2024)
    5 citations DOI OpenAlex
  • MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation (2024)
    138 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

61 Collaborators 19 Institutions 8 Countries

Top Collaborators

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