Ngoc-Vuong Ho Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

unknown

2 h-index 6 pubs 28 cited

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Biography and Research Information

OverviewAI-generated summary

Ngoc-Vuong Ho's research centers on the application of advanced neural networks for complex data segmentation and interpretation. Recent work includes the development of Point-Unet, a context-aware point-based neural network designed for volumetric segmentation, with publications in 2021 and 2022. Ho has also contributed to the creation of FG-CXR, a radiologist-aligned gaze dataset aimed at enhancing interpretability in chest X-ray report generation, with publications in 2024. Another area of focus is RSSep, a sequence-to-sequence model for simultaneous referring remote sensing segmentation and detection, published in 2025. Ho collaborates with researchers at the University of Arkansas at Fayetteville, including Thinh Phan, Trong Thang Pham, and Nhat-Tan Bui, on shared publications. With a h-index of 2 and 28 total citations across 6 publications, Ho is an active contributor to the field of artificial intelligence in medical imaging and remote sensing.

Metrics

  • h-index: 2
  • Publications: 6
  • Citations: 28

Selected Publications

  • RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025) DOI
  • FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024) DOI

Collaborators

Researchers in the database who share publications

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