1 citations · 1 across the 3 of their papers we have counts for
7 papers
KidRisk: Benchmark Dataset for Children Dangerous Action Recognition
Minh-Kha Nguyen, Trung-Hieu Do, Kim Anh Phung +3
Children are naturally energetic, and during their spontaneous activities, they often encounter potentially dangerous situations, especially when lacking parental supervision. Iden…
Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints
Minh-Khoi Pham, Thang-Long Nguyen Ho, Thao Thi Phuong Dao +8
Clinical prediction from structured electronic health records (EHRs) is challenging due to high dimensionality, heterogeneity, class imbalance, and distribution shift. While tabula…
PrefPaint: Enhancing Medical Image Inpainting through Expert Human Feedback
Duy-Bao Bui, Hoang-Khang Nguyen, Thao Thi Phuong Dao +5
Inpainting, the process of filling missing or corrupted image parts, has broad applications in medical imaging. However, generating anatomically accurate synthetic polyp images for…
Toward Content-based Indexing and Retrieval of Head and Neck CT with Abscess Segmentation
Thao Thi Phuong Dao, Tan-Cong Nguyen, Trong-Le Do +13
Abscesses in the head and neck represent an acute infectious process that can potentially lead to sepsis or mortality if not diagnosed and managed promptly. Accurate detection and…
MasHeNe: A Benchmark for Head and Neck CT Mass Segmentation using Window-Enhanced Mamba with Frequency-Domain Integration
Thao Thi Phuong Dao, Tan-Cong Nguyen, Nguyen Chi Thanh +7
Head and neck masses are space-occupying lesions that can compress the airway and esophagus and may affect nerves and blood vessels. Available public datasets primarily focus on ma…
Multi-Level CLS Token Fusion for Contrastive Learning in Endoscopy Image Classification
Y Hop Nguyen, Doan Anh Phan Huu, Trung Thai Tran +4
We present a unified vision-language framework tailored for ENT endoscopy image analysis that simultaneously tackles three clinically-relevant tasks: image classification, image-to…