A paper entitled: “A systematic review of electroencephalography open datasets and its usage with deep learning models” has been accepted for publication by the IEEE Access Journal (Q2). This paper co-authored by Alberto Nogales Moyano and Alvaro José García Tejedor compiles a set […]
Tag: 2023
New article published: Audio Restoration using Deep Autoencoders
A new publication in the lab. In this case, Alberto Nogales Moyano and Alvaro José García Tejedor have published a paper entitled: “A Deep Learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders” in the journal Expert systems with applications. […]
Poster sent to IEE ISBI 2023
From the Master Thesis co-supervised by Alberto Nogales, a poster has arisen to be presented at IEEE International Symposium on Biomedical Imaging (ISBI) 2023. This work entitled “Automatic breast ultrasound bi-rads description model” continues with the application of Deep Learning […]
New article published: DL on Infantile Epileptic Spasms
Journal “Computer Methods and Programs in Biomedicine” (Q1 in Computer Science) has accepted a paper entitled “Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity“. In this paper co-authored […]
New publication: DL on Abdominal Aortic Aneurysms
First paper of the year published by Alvaro José García Tejedor and Alberto Nogales Moyano and co-authored with angiovascular surgeon Fernando Gallardo and former CEIEC intern Miguel Pajares Hernández. In this paper titled “A semiautomatic method for obtaining a predictive deep learning model and a rule-based system […]