Author

D. Hu

2 papers indexed here

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Aug 2026

A Dual-Center, Interpretable Deep Learning-Radiomics Fusion Model for Distinguishing Nasopharyngeal Carcinoma from Nasopharyngeal Lymphoma Using FDG PET/CT.

RATIONALE AND OBJECTIVES Accurate differentiation between Nasopharyngeal Carcinoma (NPC) and Nasopharyngeal Lymphoma (NPL) is critical for clinical management. We aimed to develop an interpretable deep learning-radiomics fusion model using positron emission tomography/computed tomography (PET/CT) and validate it extern...

Meina Liang, Cheng-Mao Guo, Xiao-Yu Gao et al. · Academic Radiology · 0 citations

Open access Aug 2026

Contrastive alignment transfers proteomic predictive signals to metabolomics data

AugMent, a transfer learning framework that uses contrastive learning to encode proteome information into metabolomic representations, supports that contrastive cross-modal learning alignment can be used for transferring disease-relevant information from deeply characterized molecular datasets to substantially larger c...

D. Hu, C. Rohrer, M. Pielies Avelli et al. · medRxiv · 0 citations