Author

Y. Jeon

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#machine learning Preprint Sep 2026

Comparison of techniques for fine-tuning open-weight models for entity extraction from radiology reports

Converting free-text radiology reports into structured labels supports cohort building, quality assurance, and monitoring of clinical imaging models, but the strongest label extractors are hosted proprietary models whose use raises privacy, cost, and reproducibility concerns. We asked whether a fine-tuned open-weight m...

Aawez Mansuri, Kush Mehta, Mohammadreza Chavoshi et al. · 0 citations

#small language model Preprint Sep 2026

Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

TopKSigLIP outperforms existing open-source mammography and general medical VLMs on both internal and external benchmarks on density assessment, BI-RADS classification, finding subtyping, and cancer prediction under zero-shot evaluation.

Y. Jeon, Beatrice Brown-Mulry, R. Isaac et al. · 0 citations

Jul 2026

RadHarmony: Radiological Data Handling in the Era of Agentic AI

RadHarmony is presented, an open-source Python library that provides a unified API for loading, harmonizing, and augmenting radiological datasets, with a primary focus on chest radiographs and early support for computed tomography and magnetic resonance imaging.

Frank Li, Bardia Khosravi, Mohammadreza Chavoshi et al. · arXiv.org · 0 citations