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Author

Hong N. Dao

Institution: University of Aizu
Observed institution: University of Aizu
ORCID: 0000-0002-2693-2207
Observed ORCID: 0000-0002-2693-2207
OpenAlex ID: A5034523969
A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification
2024 · Hong N. Dao, Tuyen Nguyen, et al. · IEEE Access · 19
Transfer Learning for Medical Image Classification on Multiple Datasets using PubMedCLIP
2022 · Hong N. Dao, Tuyen Nguyen Quang, et al. · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 10
Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases
2023 · Hong N. Dao, Penugonda Ravikumar, et al. · IEEE Access · 8
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A Multimodal Transfer Learning Approach for Medical Image Classification
2023 · Hong N. Dao, Tuyen Nguyen, et al. · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 4
Towards Efficient Discovery of Stable Periodic Patterns in Big Columnar Temporal Databases
2022 · Hong N. Dao, Penugonda Ravikumar, et al. · Lecture notes in computer science · 3
Leveraging LLMs for COVID-19 Fake News Generation and Detection: A Comparative Analysis on Twitter Data
2025 · Hong N. Dao, Yasuhiro Hashimoto, et al. · IEEE Access · 2
Patient Similarity using Electronic Health Records and Self-supervised Learning
2023 · Hong N. Dao, Incheon Paik · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) · 1
From Text to Diagnosis: Exploring LLM-Assisted Prompt Strategies for Multimodal Few-Shot Medical Image Learning
2026 · Hong N. Dao, Yasuhiro Hashimoto, et al. · International Conference on Electronics, Information, and Communication (ICEIC)
Corrections to “A Multimodal Transfer Learning Approach Using PubMedCLIP for Medical Image Classification”
2026 · Hong N. Dao, Tuyen Nguyen, et al. · IEEE Access
An LLM-Enabled Multi-Agent System for Evidence-Grounded Fact Checking
2025 · Hong N. Dao, Yasuhiro Hashimoto, et al. · IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Works count: 10
Citation count: 47
H-index: 4
I10-index: 2
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