Search Results for author: Cooper U. Gamble

Found 2 papers, 2 papers with code

CONFLARE: CONFormal LArge language model REtrieval

1 code implementation4 Apr 2024 Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble, Moein Shariatnia, Bradley J. Erickson

Retrieval-augmented generation (RAG) frameworks enable large language models (LLMs) to retrieve relevant information from a knowledge base and incorporate it into the context for generating responses.

Conformal Prediction Language Modelling +3

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research

1 code implementation15 Nov 2023 Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya

This study examines the impact of synthetic data supplementation, using diffusion models, on the performance of deep learning (DL) classifiers for CXR analysis.

Denoising

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