Thao Thi Phuong Dao
Orcid: 0000-0002-0109-1114
According to our database1,
Thao Thi Phuong Dao authored at least 17 papers
between 2022 and 2026.
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Bibliography
2026
Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints.
CoRR, April, 2026
2025
Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation.
CoRR, December, 2025
MasHeNe: A Benchmark for Head and Neck CT Mass Segmentation using Window-Enhanced Mamba with Frequency-Domain Integration.
CoRR, December, 2025
DYNAFormer: Enhancing transformer segmentation with dynamic anchor mask for medical imaging.
Comput. Biol. Medicine, 2025
Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image Classification.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Toward Content-Based Indexing and Retrieval of Head and Neck CT With Abscess Segmentation.
Proceedings of the International Conference on Content-Based Multimedia Indexing, 2025
2024
Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics.
Mach. Learn., December, 2024
Improving Laryngoscopy Image Analysis Through Integration of Global Information and Local Features in VoFoCD Dataset.
J. Imaging Inform. Medicine, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
DermAI: A Chatbot Assistant for Skin Lesion Diagnosis Using Vision and Large Language Models.
Proceedings of the Computer Vision - ACCV 2024 Workshops, 2024
2023
MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation.
Comput. Methods Programs Biomed., November, 2023
Vision-Based Assistance for Vocal Fold Identification in Laryngoscopy with Knowledge Distillation.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023
2022
Semi-supervised Organ Segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation.
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022