11 citations · 11 across the 6 of their papers we have counts for
7 papers
Multimodal Three-Class Alzheimer's Disease Classification: The MCI Bottleneck
Lorenzo Tanzi, Chunfeng Lian, Lara Cavinato
Alzheimer's disease is clinically staged as a three-class progression: cognitively normal (CN), mild cognitive impairment (MCI) and Alzheimer's disease (AD). The intermediate MCI c…
Trajectory-informed graph-based clustering for longitudinal cancer subtyping
Lara Cavinato, Marco Rocchi, Luca Viganò +1
Cancer subtyping plays a crucial role in informing prognosis and guiding personalized treatment strategies. However, conventional subtyping approaches often rely on static, biopsy-…
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…
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
Lara Cavinato, Matteo Pegoraro, Alessandra Ragni +3
Personalized medicine is the future of medical practice. In oncology, tumor heterogeneity assessment represents a pivotal step for effective treatment planning and prognosis predic…