Self-Supervised Transformer Reads Resting-State EEG to Detect Alzheimer’s Disease With 96.42% Accuracy
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A systematic review and controlled validation of deep learning-based Android malware detection reveals that high benchmark accuracy masks architecture-dependent reliability ...
The distinction between discrimination and calibration deserves particular attention when interpreting the reported performance figures. Discrimination, captured by the AUROC, ...
A Transformer-based network that treats each ultrasound sensor's time series as a token reconstructs photoacoustic images in a single forward ...
A new parallel Transformer-CNN architecture called TCNNISTD achieves state-of-the-art accuracy and real-time speed in detecting infrared targets smaller than ten ...
Researchers built a knowledge graph-guided Transformer that generates coherent accordion music with harmonic validity of 94.8 percent and robust thematic ...
A transformer-based framework restyles Himalayan Thangka art while preserving its strict geometric composition, with cross-domain results on Dunhuang murals and ...
A new review maps how Transformer architectures, from temporal and spatial attention models to self-supervised brain foundation models, are reshaping ...
A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...
Researchers have built a transformer that treats missing Wi-Fi signals as informative data, achieving the lowest errors among reproduced baselines ...
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© 2026 Scienmag - Science Magazine