Moti Freiman

3 paper cards in Mova's library · 2025–2026

Moti Freiman wrote 3 of the papers Mova reads, in 2025–2026; often with Dan Turner, Gili Focht, Hadas Ben Atya.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring (2026)
The paper extracts organ-and-finding labels from 9,683 Hebrew MRE/CTE reports of Crohn's patients, with 512 reports labelled by hand and 462 used for evaluation.
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model (2025)
The paper asks an open-source LLM (Llama 3-8B-Instruct) whether a Hebrew Crohn's disease radiology report shows a given organ–finding pair, and asks for a JSON answer with an explanation.
Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease (2025)
The authors adapt a Hebrew RoBERTa model to 9,683 Crohn's disease radiology reports, using a masked-language objective and a second objective that predicts whether a Findings section and an Impression section belong to the same report.

Dan Turner ×2
Gili Focht ×2
Hadas Ben Atya ×2
Naama Gavrielov ×2
Ruth Cytter-Kuint ×2
Talar Hagopian ×2
Zvi Badash ×2
Zvi Badash; Hadas Ben-Atya; Naama Gavrielov; Liam Hazan; Gili Focht; Ruth Cytter-Kuint; Talar Hagopian; Dan Turner;