4 papers
Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity
Alessandra Ragni, Lara Cavinato, Francesca Ieva
The identification of patient subgroups with comparable event-risk dynamics plays a key role in supporting informed decision-making in clinical research. In such settings, it is im…
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…
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…