Tag: multimodal fusion

A new asymmetric AI fusion framework that treats dermoscopic images as the primary representation and clinical photos as a corrective ...

A new review proposes a Dynamic-Spectral Coupling framework that fuses EEG spectral parameters, including 1/f aperiodic components, with dynamic fMRI ...

The distinction between local vibration responses and machine-level load variations reflects a fundamental division in how rotating and reciprocating machinery ...

A new dual-modality deep learning framework called DHF-DTI combines sequence and graph data with cross-attention fusion and supervised contrastive learning ...

A new framework combines conditional GANs, expert-calibrated aesthetic scoring and safe reinforcement learning to let a 23-joint humanoid robot generate ...

A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...

A hybrid deep learning and radiomics framework can detect subjective cognitive decline, the earliest preclinical stage of Alzheimer's disease, from ...

A multi-task deep learning model that fuses pretreatment MRI and whole slide pathology images outperformed standard staging in predicting chemotherapy ...

A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness ...

A large multimodal neuroimaging and genetics study has identified reproducible brain signatures tied to ADHD polygenic risk that predict inattention ...