Author

Naama Gavrielov

Observed names: Gavrielov, Naama, N Gavrielov

Institution: Technion – Israel Institute of Technology

Observed institution: Technion – Israel Institute of Technology

OpenAlex ID: A5093775918

Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language

2024 · Liam Hazan, Naama Gavrielov, et al. · Clinical Natural Language Processing Workshop (ClinicalNLP) · 2

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

P269 Harnessing Natural Language Processing for Structured Information Extraction from Radiology Reports in Crohn's Disease: A Nationwide Study From the epi-IIRN

2024 · L Hazan, G Focht, et al. · Journal of Crohn s and Colitis · 1

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.

DOP093 Usage of Radiomics and Graph Neural Networks for Predicting Surgical Outcomes in Crohn’s Disease

2026 · G Kurtser, Y Amit, et al. · Journal of Crohn s and Colitis

Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring

2026 · Hadas Ben Atya, Naama Gavrielov, et al.

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)

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

Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language

2024 · Hazan, Liam, Focht, Gili, et al. · arXiv (Cornell University)

Works count: 13

Citation count: 4

H-index: 1

I10-index: