N
Ngoc-Vuong Ho Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
2 h-index
6 pubs
29 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Ngoc-Vuong Ho's research focuses on the development of advanced neural network architectures for complex data segmentation and analysis. His work includes the creation of Point-Unet, a context-aware point-based neural network designed for volumetric segmentation, with publications appearing in 2021 and 2022. More recently, Ho has contributed to the field of medical imaging with the FG-CXR dataset and associated research, aiming to enhance interpretability in chest X-ray report generation, with publications in 2024. His recent publication in 2025, RSSep, introduces a sequence-to-sequence model for simultaneous segmentation and detection in remote sensing data. Ho has collaborated with several researchers at the University of Arkansas at Fayetteville, including Thinh Phan, Trong Thang Pham, Nhat-Tan Bui, and Meredith Adkins, contributing to a shared publication record.
Metrics
- h-index: 2
- Publications: 6
- Citations: 29
Selected Publications
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024)
Collaboration Network
Top Collaborators
Ngan Le
University of Arkansas at Fayetteville (US)
4 shared publications
- Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric\n Segmentation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Gia‐Han Diep
3 shared publications
- Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric\n Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Binh‐Son Hua
3 shared publications
- Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric\n Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Thinh Phan
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
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Tan N. Nguyen
2 shared publications
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric\n Segmentation
- Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
Trong Thang Pham
University of Arkansas at Fayetteville
2 shared publications
In database
- 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
2 shared publications
In database
- 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
Patel Brijesh
West Virginia University (US)
2 shared publications
- 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
Donald Adjeroh
West Virginia University (US)
2 shared publications
- 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
Gianfranco Doretto
West Virginia University (US)
2 shared publications
- 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
Minh Anh Nguyen
University of Liverpool (GB)
2 shared publications
- 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
Carol C. Wu
The University of Texas MD Anderson Cancer Center (US)
2 shared publications
- 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
Hien Nguyen
University of Houston (US)
2 shared publications
- 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
Ngan Le
University of Arkansas at Fayetteville (US)
2 shared publications
- 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
Tan B. Nguyen
VinUniversity (VN)
1 shared publication
- Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation
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