Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. - Minhui Yu; Hao Guan; Yuqi Fang; Ling Yue; Mingxia Liu 001 (MICCAI (1), 2022)

Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. - Lintao Zhang; Minhui Yu; Lihong Wang; David C. Steffens; Rong Wu; Guy G. Potter; Mingxia Liu 001 (MLMI@MICCAI, 2022)

Hybrid Multimodality Fusion with Cross-Domain Knowledge Transfer to Forecast Progression Trajectories in Cognitive Decline. - Minhui Yu; Yunbi Liu; Jinjian Wu; Andrea Bozoki; Shijun Qiu; Ling Yue; Mingxia Liu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Dual Square-Shaped Constellation With Two-Layer Coding and Successive Demapping for Odd-Bit QAM. - Sehee Son; Jiyeon Park; Minhui Yu; Hosung Park (IEEE Access, 2024)

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI. - Minhui Yu; Mengqi Wu; Ling Yue; Andrea Bozoki; Mingxia Liu 001 (CoRR, 2024)

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion. - Mengqi Wu; Minhui Yu; Shuaiming Jing; Pew-Thian Yap; Zhengwu Zhang; Mingxia Liu 001 (CoRR, 2024)

Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI. - Lintao Zhang; Lihong Wang; Minhui Yu; Rong Wu; David C. Steffens; Guy G. Potter; Mingxia Liu 001 (Medical Image Anal., 2024)

Constellation design of 32-QAM by scaling two square 16-QAMs with dual-level coding. - Minhui Yu; Seunggi Choi; Hosung Park (ICT Express, 2025)

Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline. - Minhui Yu; Yuqi Fang; Yunbi Liu; Andrea C. Bozoki; Shifu Xiao; Ling Yue; Mingxia Liu 001 (Neural Networks, 2025)