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

Training deep learning models on radiological images requires integrating heterogeneous datasets across different sources, file formats, directory layouts, label schemas, and annotation types. We present RadHarmony, an open-source Python library that provides a unified API for loading, harmonizing, and augmenting radio...

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