5 papers
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…
MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
Luca Caldera, Giacomo Bottacini, Lara Cavinato
Generative modeling has emerged as a powerful paradigm for representation learning, but its direct applicability to challenging fields like medical imaging remains limited: mere ge…
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…
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…
Uncover mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
Luca Caldera, Chiara Masci, Andrea Cappozzo +4
Evaluating hospitals' performance and its relation to patients' characteristics is of utmost importance to ensure timely, effective, and optimal treatment. Such a matter is particu…