Author

Mahdi Ghaznavi

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Open access Oct 2026

Optimizing AI-assisted decision-making in mammography screening: focusing on uncertainties

To evaluate an AI-based decision-support system for mammography interpretation, assessing its impact on diagnostic performance. This retrospective study analyzed 130,838 mammograms from 35,709 patients with confirmed follow-up outcomes across multiple centers, using the Digital Database for Screening Mammography (DDSM)...

N. Ahmadinejad, Nahid Sadighi, Rassa Ghavami Modegh et al. · Insights into Imaging · 0 citations

#machine learning Preprint Oct 2026

Which Geometry on Which Layer? Measured Sign-Spectral Assignment in Mixed-Optimizer Training

Modern neural-network training uses mixed recipes, assigning AdamW-like or sign-based updates to embedding and output layers and spectral updates to hidden matrices. These assignments are usually fixed by layer type, without a clear criterion for selecting the appropriate geometry. We turn sign-versus-spectral assignme...

Hiroki Naganuma, Laura Gomezjurado, Mahdi Ghaznavi et al. · 0 citations