16 citations · 49 across the 38 of their papers we have counts for
9 papers · 1 filter
Multi-state Modeling of Delay Evolution in Suburban Rail Transports
Stefania Colombo, Alfredo Gimenez Zapiola, Francesca Ieva +1
Train delays are a persistent issue in railway systems, particularly in suburban networks where operational complexity is heightened by frequent services and high passenger volumes…
Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization
Nicole Fontana, Francesca Ieva, Luisa Zuccolo +2
Mendelian Randomization is a widely used instrumental variable method for assessing causal effects of lifelong exposures on health outcomes. Many exposures, however, have causal ef…
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
Marco F. De Sanctis, Eleonora Arnone, Francesca Ieva +1
In this work we propose a novel approach for modeling spatio-temporal data characterized by group structures. In particular, we extend classical mixed effect regression models by i…
Scanner-Agnostic MRI Harmonization via SSIM-Guided Disentanglement
Luca Caldera, Lara Cavinato, Francesca Ieva
The variability introduced by differences in MRI scanner models, acquisition protocols, and imaging sites hinders consistent analysis and generalizability across multicenter studie…
Three Distributional Approaches for PM10 Assessment in Northern Italy
Marco F. De Sanctis, Andrea Gilardi, Giacomo Milan +3
We propose three spatial methods for estimating the full probability distribution of PM10 concentrations, with the ultimate goal of assessing air quality in Northern Italy. Moving…
Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
Luca Caldera, Andrea Cappozzo, Chiara Masci +5
This study investigates the heterogeneity in survival times among COVID-19 patients with Heart Failure (HF) hospitalized in the Lombardy region of Italy during the pandemic. To add…
Interpretable phenotyping of Heart Failure patients with Dutch discharge letters
Vittorio Torri, Machteld J. Boonstra, Marielle C. van de Veerdonk +6
Objective: Heart failure (HF) patients present with diverse phenotypes affecting treatment and prognosis. This study evaluates models for phenotyping HF patients based on left vent…
DISARM++: Beyond scanner-free harmonization
Luca Caldera, Lara Cavinato, Alessio Cirone +9
Harmonization of T1-weighted MR images across different scanners is crucial for ensuring consistency in neuroimaging studies. This study introduces a novel approach to direct image…
An Unsupervised Natural Language Processing Pipeline for Assessing Referral Appropriateness
Vittorio Torri, Annamaria Bottelli, Michele Ercolanoni +2
Objective: Assessing the appropriateness of diagnostic referrals is critical for improving healthcare efficiency and reducing unnecessary procedures. However, this task becomes cha…