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Author

N. Beste

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Preprint Sep 2026

From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography

Purpose: To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determination, and continuous malignancy probability estimation using digital mammography (DM) and contrast-enhanced mammography (CEM). Methods: Thi...

A. Ardakani, A. Mohammadi, T. Y. Kuzan et al. · 0 citations
Open access Sep 2026

A deep learning framework for automated quantification of peripheral nerve lesions in MR neurography

A reproducible deep learning-based framework for automated segmentation and quantitative assessment of peripheral nerve lesions in MR neurography is introduced and enables standardized volumetric characterization of small intraneural abnormalities and provides a basis for scalable, quantitative peripheral nerve imaging...

N. Beste, C. Raudonat, M. Fesselier et al. · 0 citations

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