Scholar
Doanh C. Bui
Google Scholar ID: WHviN4AAAAAJ
NARA Institute of Science and Technology
Citations & Impact
Citations
127
H-index
6
i10-index
4
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- 1. One paper accepted by Pattern Recognition (SCIE Q1, IF = 7.5)
- 2. One paper accepted by Expert Systems with Applications (SCIE Q1, IF = 7.5)
- 3. Successfully passed the screening of the NAIST International Scholar Program
- 4. One paper accepted for presentation at AAAI2025 (A*-ranked)
- 5. Placed 6th at MICCAI2024-LEOPARD challenge
- 6. One paper accepted for presentation at ACCV2024 (B-ranked)
- 7. One paper accepted by Machine Vision and Applications (SCIE Q2, IF = 2.4)
- 8. One paper accepted by IEEE Transactions on Medical Imaging (SCIE Q1, IF = 8.9)
- 9. One paper accepted for presentation at MICCAI2024 (A-ranked)
- 10. One paper accepted by IEEE Transactions on Circuits and Systems for Video Technology (SCIE Q1, IF = 8.4)
- 11. One paper accepted by Computer Methods and Programs in Biomedicine (SCIE Q1, IF = 6.1)
- 12. One paper accepted for presentation at MICCAI2023-Thompson (1st Place in Track 2 - Visual Question Answering)
- 13. One paper accepted for presentation at WACVW (1st Place in Track 1 - UPAR challenge 2024)
- 14. One paper accepted by Pattern Recognition Letters (SCIE Q1, IF = 5.1)
Research Experience
- 1. Teaching Assistant in the Faculty of Software Engineering at the University of Information Technology, VNU-HCM (October 2022 - March 2023)
- 2. Master's thesis: Computational Methods for Multi-Class Cancer Classification (defended on November 29, 2024)
Education
- 1. MSc in Computer Engineering at the School of Electrical Engineering, Korea University (March 2023 - February 2025)
- 2. BSc in Computer Science from the University of Information Technology, VNU-HCM (August 2019 - September 2022)
Background
- Research interests include various aspects of computer vision, such as object detection, document image understanding, image captioning, and human-object interaction. Currently, the research focuses on applying advanced image processing techniques to histopathology images.
