17 citations · 23 across the 4 of their papers we have counts for
4 papers
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images
Leonardo Gabriel Ferreira Rodrigues, Danilo Ferreira da Silva, Larissa Ferreira Rodrigues +1
Coronavirus Disease 2019 (COVID-19) pandemic rapidly spread globally, impacting the lives of billions of people. The effective screening of infected patients is a critical step to…
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?
Bruno Machado Pacheco, Victor Hugo Rocha de Oliveira, Augusto Braga Fernandes Antunes +2
Brain age prediction using neuroimaging data has shown great potential as an indicator of overall brain health and successful aging, as well as a disease biomarker. Deep learning m…
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
Luís Felipe P. Cattelan, Danilo Silva
This paper addresses the problem of selective classification for deep neural networks, where a model is allowed to abstain from low-confidence predictions to avoid potential errors…
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?
Bruno Machado Pacheco, Guilherme de Souza e Cassia, Danilo Silva
State-of-the-art brain tumor segmentation is based on deep learning models applied to multi-modal MRIs. Currently, these models are trained on images after a preprocessing stage th…