2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays
Gregory Schuit, Denis Parra, Cecilia Besa
Generative image models have achieved remarkable progress in both natural and medical imaging. In the medical context, these techniques offer a potential solution to data scarcity-…
cs.CL2020★ 2 cited
Inspecting state of the art performance and NLP metrics in image-based medical report generation
Pablo Pino, Denis Parra, Pablo Messina +2
Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input. Most works evalua…
cs.CV2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina, Pablo Pino, Denis Parra +7
Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods. In this context…