Improving Recurrent Gate Mechanism For Time-to-Conversion Prediction Of Alzheimer's Disease. - Duy-Phuong Dao; Ngoc-Huynh Ho; Jahae Kim; Hyung-Jeong Yang (SMA, 2020)

A Study on Test-Time Augmentation and Attention Mechanism in DeepLabv3+ for Deep Learning-Based Segmentation. - Sy-Phuc Pham; Hyung-Jeong Yang; Duy-Phuong Dao; Soo-Hyung Kim; Guee-Sang Lee (MediaEval, 2021)

Survival Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality. - Duy-Phuong Dao; Hyung-Jeong Yang; Ngoc-Huynh Ho; Sudarshan Pant; Soo-Hyung Kim; Guee-Sang Lee; In-Jae Oh; Sae-Ryung Kang (ICPR, 2022)

Predicting progression of Alzheimer's disease using forward-to-backward bi-directional network with integrative imputation. - Ngoc-Huynh Ho; Hyung-Jeong Yang; Jahae Kim; Duy-Phuong Dao; Hyuk-Ro Park; Sudarshan Pant (Neural Networks, 2022)

Adaptive Cross-Modal Representation Learning for Heterogeneous Data Types in Alzheimer Disease Progression Prediction with Missing Time Point and Modalities. - S. P. Dhivyaa; Duy-Phuong Dao; Hyung-Jeong Yang; Jahae Kim (ICPR (12), 2024)

Conditional Diffusion Model for Longitudinal Medical Image Generation. - Duy-Phuong Dao; Hyung-Jeong Yang; Jahae Kim (CoRR, 2024)

Longitudinal Alzheimer's Disease Progression Prediction With Modality Uncertainty and Optimization of Information Flow. - Duy-Phuong Dao; Hyung-Jeong Yang; Jahae Kim; Ngoc-Huynh Ho (IEEE J. Biomed. Health Informatics, 2025)