1 citations · 1 across the 4 of their papers we have counts for
4 papers
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah +4
Estimating multi-component T2 relaxation distributions from Multi-Echo Spin Echo (MESE) MRI is a severely ill-posed inverse problem, traditionally solved using regularized non-nega…
Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease
Zvi Badash, Hadas Ben-Atya, Naama Gavrielov +6
Extracting structured clinical information from radiology reports is challenging, especially in low-resource languages. This is pronounced in Crohn's disease, with sparsely represe…
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
Hadas Ben-Atya, Naama Gavrielov, Zvi Badash +5
Reliable extraction of structured data from radiology reports using Large Language Models (LLMs) remains challenging, especially for complex, non-English texts like Hebrew. This st…
Rethinking The Memory Staleness Problem In Dynamics GNN
Mor Ventura, Hadas Ben Atya, Dekel Brav
The staleness problem is a well-known problem when working with dynamic data, due to the absence of events for a long time. Since the memory of the node is updated only when the no…