30 citations · 39 across the 5 of their papers we have counts for
5 papers
Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images
Ariadna Tohà-Dalmau, Josep Rosinés-Fonoll, Enrique Romero +11
This study aimed to develop a machine learning (ML) algorithm capable of determining cardiovascular risk in multimodal retinal images from patients with type 1 diabetes mellitus, d…
Frequency selection for the diagnostic characterization of human brain tumours
Carlos Arizmendi, Alfredo Vellido, Enrique Romero
The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must rely upon information gathered through non-invasive techniques. One such technique is m…
Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics
Juan Manuel López-Correa, Caroline König, Alfredo Vellido
G-Protein Coupled Receptors (GPCRs) are a big family of eukaryotic cell transmembrane proteins, responsible for numerous biological processes. From a practical viewpoint around 34\…
Bioinformatics and Medicine in the Era of Deep Learning
Davide Bacciu, Paulo J. G. Lisboa, José D. Martín +2
Many of the current scientific advances in the life sciences have their origin in the intensive use of data for knowledge discovery. In no area this is so clear as in bioinformatic…
Metrics for Probabilistic Geometries
Alessandra Tosi, Søren Hauberg, Alfredo Vellido +1
We investigate the geometrical structure of probabilistic generative dimensionality reduction models using the tools of Riemannian geometry. We explicitly define a distribution ove…