research
∙
07/11/2023
Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?
Brain age prediction using neuroimaging data has shown great potential a...
share
research
∙
05/24/2023
Improving selective classification performance of deep neural networks through post-hoc logit normalization and temperature scaling
This paper addresses the problem of selective classification for deep ne...
research
∙
12/14/2022
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?
State-of-the-art brain tumor segmentation is based on deep learning mode...
research
∙
12/23/2021
Predição de Incidência de Lesão por Pressão em Pacientes de UTI usando Aprendizado de Máquina
Pressure ulcers have high prevalence in ICU patients but are preventable...
research
∙
12/23/2021
Predição da Idade Cerebral a partir de Imagens de Ressonância Magnética utilizando Redes Neurais Convolucionais
In this work, deep learning techniques for brain age prediction from mag...
research
∙
11/30/2020
Iterative Error Decimation for Syndrome-Based Neural Network Decoders
In this letter, we introduce a new syndrome-based decoder where a deep n...
research
∙
07/29/2020
Predicting Multiple ICD-10 Codes from Brazilian-Portuguese Clinical Notes
ICD coding from electronic clinical records is a manual, time-consuming ...
research
∙
12/11/2019
Optimization of Integer-Forcing Precoding for Multi-User MIMO Downlink
Integer-forcing (IF) precoding is an alternative to linear precoding for...
research
∙
05/16/2019
Efficient Scheduling for the Massive Random Access Gaussian Channel
This paper investigates the massive random access Gaussian channel with ...
research
∙
05/07/2019
A Multistage Method for SCMA Codebook Design Based on MDS Codes
Sparse Code Multiple Access (SCMA) has been recently proposed for the fu...
research
∙
12/21/2017