Author

M. J. Idaji

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#machine learning Preprint Sep 2026

Representational and Functional Robustness to Electrode Montages in EEG Foundation Models

This work investigates the effects of different electrode montages through a joint functional and representational analysis of four EEG foundation models selected to span distinct montage-handling designs, and shows that aggregation, not the encoder alone, determines functional robustness.

Jakob Steglich, Justus Meyer zu Bexten, Shakiba Moradi et al. · 0 citations

Open access Jul 2026

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems

Chronicle is introduced, an explainable transformer that learns from entire patient trajectories, predicts diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies, providing a scalable framework to support individualized treatment decisions.

P. Keyl, N. Kiermeyer, J. Bosserhoff et al. · medRxiv · 0 citations