AI Learns to Stage Kidney Disease by Reconciling Conflicting Medical Labels
Swansea University researchers have developed a hierarchical contrastive learning framework that combines scarce GP-recorded labels with abundant rule-based eGFR labels ...
Swansea University researchers have developed a hierarchical contrastive learning framework that combines scarce GP-recorded labels with abundant rule-based eGFR labels ...
Researchers have developed MPANet, a multi-modal deep learning network that fuses raw radio signal sequences with Markov Transition Field images ...
A prospective study of 124 patients found that a deep learning reconstruction technique called DEPICTA can complete a multi-contrast brain ...
A comprehensive new survey in Multimedia Tools and Applications maps deepfake generation techniques from GANs to diffusion models and finds ...
Researchers have enhanced the TimeXer forecasting model with a temporal convolutional network and differential attention, achieving lower stock prediction errors ...
A wavelet-based deep learning framework developed at Southwest Jiaotong University separates true aerodynamic forces from start-up vibration in hypersonic wind ...
A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...
Researchers have developed DeepWonder3D, an AI-driven pipeline that rapidly and accurately extracts the activity of tens of thousands of neurons ...
Researchers have developed a Transformer-based deep learning model that predicts CNC tool-path and cycle time errors directly from G-code with ...
A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine