3 citations · 3 across the 2 of their papers we have counts for
3 papers
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…
Predição da Idade Cerebral a partir de Imagens de Ressonância Magnética utilizando Redes Neurais Convolucionais
Victor H. R. Oliveira, Augusto Antunes, Alexandre S. Soares +4
In this work, deep learning techniques for brain age prediction from magnetic resonance images are investigated, aiming to assist in the identification of biomarkers of the natural…
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease
Eduardo Nigri, Nivio Ziviani, Fabio Cappabianco +2
Deep Convolutional Neural Networks (CNNs) are becoming prominent models for semi-automated diagnosis of Alzheimer's Disease (AD) using brain Magnetic Resonance Imaging (MRI). Altho…