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A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease
Published 2025-08-01“…Although multimodal neuroimaging and clinical data provide complementary information, existing fusion models often face challenges such as high computational complexity and limited interpretability.MethodsTo address these limitations, we introduce TriLightNet, an innovative lightweight triple-modal fusion network designed to integrate structural MRI, functional PET, and clinical tabular data for predicting MCI-to-AD conversion. …”
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GT-NMR: a novel graph transformer-based approach for accurate prediction of NMR chemical shifts
Published 2024-11-01Get full text
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Prediction of the Methane Yield From Extensively Managed, Flower‐Rich Fen Grassland Based on NIRS Data
Published 2025-07-01Get full text
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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria
Published 2025-04-01Get full text
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Post-surgical fall risk prediction: a machine learning approach for spine and lower extremity procedures
Published 2025-04-01Get full text
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A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data
Published 2024-09-01Get full text
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