Ngoc-Vuong Ho Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Fayetteville
unknown
Research Areas
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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
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