3 citations · 3 across the 4 of their papers we have counts for
5 papers
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection
Rosanna Turrisi, Alessandro Verri, Annalisa Barla
Machine Learning (ML) has emerged as a promising approach in healthcare, outperforming traditional statistical techniques. However, to establish ML as a reliable tool in clinical p…
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions
Veronica Tozzo, Federico Tomasi, Margherita Squillario +1
Complex systems may contain heterogeneous types of variables that interact in a multi-level and multi-scale manner. In this context, high-level layers may considered as groups of v…
A temporal model for multiple sclerosis course evolution
Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto +2
Multiple Sclerosis is a degenerative condition of the central nervous system that affects nearly 2.5 million of individuals in terms of their physical, cognitive, psychological and…
Evaluating sources of variability in pathway profiling
A. Barla, S. Riccadonna, S. Masecchia +4
A bioinformatics platform is introduced aimed at identifying models of disease-specific pathways, as well as a set of network measures that can quantify changes in terms of global…
A machine learning pipeline for discriminant pathways identification
Annalisa Barla, Giuseppe Jurman, Roberto Visintainer +4
Motivation: Identifying the molecular pathways more prone to disruption during a pathological process is a key task in network medicine and, more in general, in systems biology. Re…