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Zvi Badash

Observed names: Badash, Zvi, Badash, Zvi N., Z Badash
OpenAlex ID: A5115983654
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
2025 · Ben-Atya, Hadas, Gavrielov, Naama, et al. · arXiv (Cornell University) · 1
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Automated readings of imaging reports by natural language processing (NLP) supplemented by clinical data predict disease course in children and adults with Crohn’s disease: report from the epi-IIRN
2026 · Ohad Atia, Gili Kurtser, et al. · Scandinavian Journal of Gastroenterology
Automated readings of imaging reports by natural language processing (NLP) supplemented by clinical data predict disease course in children and adults with Crohn’s disease: report from the epi-IIRN
2026 · Ohad Atia, Gili Kurtser, et al. · Figshare
Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring
2026 · Association for Computational Linguistics 2026, Badash, Zvi, et al. · Underline Science Inc.
Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores
2026 · Badash, Zvi N., Belinkov, Yonatan, et al. · arXiv (Cornell University)
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Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring
2026 · Hadas Ben Atya, Naama Gavrielov, et al.
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Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease
2025 · Badash, Zvi, Ben-Atya, Hadas, et al. · arXiv (Cornell University)
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Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring (Preprint)
2025 · Hadas Ben Atya, Naama Gavrielov, et al.
P0554 Machine Learning-Based Interpretation of Unstructured Radiology Reports for Objective Scoring of Inflammation and Stenosis in IBD: A Nationwide Study From the epi-IIRN
2025 · Z Badash, N Gavrielov, et al. · Journal of Crohn s and Colitis
Works count: 9
Citation count: 1
H-index: 1
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