98 citations · 130 across the 8 of their papers we have counts for
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cs.CL2026
Safety and accuracy follow different scaling laws in clinical large language models
Sebastian Wind, Tri-Thien Nguyen, Jeta Sopa +9
Clinical LLMs are often scaled by increasing model size, context length, retrieval complexity, or inference-time compute, with the implicit expectation that higher accuracy implies…
cs.CV2026
Slice-wise quality assessment of high b-value breast DWI via deep learning-based artifact detection
Ameya Markale, Luise Brock, Ihor Horishnyi +10
Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast magnetic resonance imaging (MRI), however especially high b-value diffusion-weighted ac…