2 citations · 2 across the 5 of their papers we have counts for
5 papers
MedUPS: Towards Diagnostic Assistance in Uncommon Medical Cases with Large Language Models
Ofir Ben Shoham, Oriel Perets, Nir Grinberg +1
Uncommon and off-guideline cases are difficult for clinical decision support, because physicians must make a series of management decisions under diagnostic uncertainty and rarely…
ProtSent: Protein Sentence Transformers
Dan Ofer, Oriel Perets, Michal Linial +1
Protein language models produce rich per-residue representations, but the sequence embeddings obtained by mean-pooling them are never trained to place related proteins near one ano…
CUPCase: Clinically Uncommon Patient Cases and Diagnoses Dataset
Oriel Perets, Ofir Ben Shoham, Nir Grinberg +1
Medical benchmark datasets significantly contribute to developing Large Language Models (LLMs) for medical knowledge extraction, diagnosis, summarization, and other uses. Yet, curr…
DSF-GAN: DownStream Feedback Generative Adversarial Network
Oriel Perets, Nadav Rappoport
Utility and privacy are two crucial measurements of the quality of synthetic tabular data. While significant advancements have been made in privacy measures, generating synthetic s…
Subpopulation-Specific Synthetic EHR for Better Mortality Prediction
Oriel Perets, Nadav Rappoport
Electronic health records (EHR) often contain different rates of representation of certain subpopulations (SP). Factors like patient demographics, clinical condition prevalence, an…