Giters

gregschuit / radiologist-perceptual-eval-xrays

This repository contains the codebase associated with the paper: "Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays", accepted at the 1st MICCAI Workshop on Human-AI Collaboration (HAIC), MICCAI 2025

Repository from Github https://github.comgregschuit/radiologist-perceptual-eval-xraysRepository from Github https://github.comgregschuit/radiologist-perceptual-eval-xrays

Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays

This repository contains the codebase associated with the paper:

"Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays"
Authors: Gregory Schuit, Denis Parra, Cecilia Besa
Pontifical Catholic University of Chile
Accepted at the 1st MICCAI Workshop on Human-AI Collaboration (HAIC), MICCAI 2025

This paper is based on my master's thesis, which explores the generation of synthetic chest X-rays using adversarial (GAN) and diffusion models. The study focuses on the perceptual evaluation of radiologists to assess the quality and diagnostic utility of the generated images.

About

This repository contains the codebase associated with the paper: "Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays", accepted at the 1st MICCAI Workshop on Human-AI Collaboration (HAIC), MICCAI 2025

Languages

Language:TypeScript 59.9%Language:Python 33.1%Language:CSS 4.0%Language:Shell 2.4%Language:HTML 0.3%Language:JavaScript 0.3%