Ngoc-Vuong Ho
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: VinUniversity (2021)
Unknown Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Ngoc-Vuong Ho's research focuses on the development and application of neural networks for segmentation and detection tasks. Their 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. Ho has also contributed to the field of medical imaging interpretation, developing the FG-CXR dataset to enhance interpretability in chest X-ray report generation, with publications in 2024. Further research extends to sequence-to-sequence models for simultaneous referring remote sensing segmentation and detection, as demonstrated in a 2025 publication. Ho has collaborated with several researchers at the University of Arkansas at Fayetteville, including Tran-Dac-Thinh Phan, Ngan Le, Trong Thang Pham, and Nhat-Tan Bui, on multiple shared publications.
Metrics
- h-index: 2
- Publications: 5
- Citations: 29
Selected Publications
-
RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
-
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024)
Collaboration Network
Top Collaborators
- 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
- 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
- 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
- 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
- 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
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
Similar Researchers
Based on overlapping research topics