Estimate of FDG Excretion by means of Compartmental Analysis and Ant Colony Optimization of Nuclear Medicine Data. - Sara Garbarino; Giacomo Caviglia; Massimo Brignone; Michela Massollo; Gianmario Sambuceti; Michele Piana (Comput. Math. Methods Medicine, 2013)

Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology. - Fabrice Delbary; Sara Garbarino (CoRR, 2016)

A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. - Razvan V. Marinescu; Arman Eshaghi; Marco Lorenzi; Alexandra L. Young; Neil P. Oxtoby; Sara Garbarino; Timothy J. Shakespeare; Sebastian J. Crutch; Daniel C. Alexander (IPMI, 2017)

Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks. - Sara Garbarino; Marco Lorenzi (IPMI, 2019)

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. - Razvan V. Marinescu; Arman Eshaghi; Marco Lorenzi; Alexandra L. Young; Neil P. Oxtoby; Sara Garbarino; Sebastian J. Crutch; Daniel C. Alexander (NeuroImage, 2019)

Imaging from STIX visibility amplitudes. - Paolo Massa; Emma Perracchione; Sara Garbarino; Andrea F. Battaglia; Federico Benvenuto; Michele Piana; Gordon Hurford; Sam Krucker (CoRR, 2021)

Regularization from examples via neural networks for parametric inverse problems: topology matters. - Paolo Massa; Sara Garbarino; Federico Benvenuto (CoRR, 2021)

Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease. - Maura Bellio; Dominic Furniss; Neil P. Oxtoby; Sara Garbarino; Nicholas C. Firth; Annemie Ribbens; Daniel C. Alexander; Ann Blandford (ACM Trans. Comput. Heal., 2021)

Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. - Sara Garbarino; Marco Lorenzi; Alzheimer's Disease Neuroimaging Initiative (NeuroImage, 2021)

Forward-fitting STIX visibilities. - Anna Volpara; Paolo Massa; Emma Perracchione; Andrea Francesco Battaglia; Sara Garbarino; Federico Benvenuto; Anna Maria Massone; Sam Krucker; Michele Piana (CoRR, 2022)

DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation. - Luca Caldera; Lara Cavinato; Andrea Cappozzo; Isabella Cama; Sara Garbarino; Alessio Cirone; Raffaele Lodi; Fabrizio Tagliavini; Anna Nigri; Silvia De Francesco; Francesca Ieva; RIN-Neuroimaging Network (MLCN@MICCAI, 2024)

Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging. - Isabella Cama; Alejandro Guzmán; Cristina Campi; Michele Piana; Karim Lekadir; Sara Garbarino; Oliver Díaz (CoRR, 2025)

DISARM++: Beyond scanner-free harmonization. - Luca Caldera; Lara Cavinato; Alessio Cirone; Isabella Cama; Sara Garbarino; Raffaele Lodi; Fabrizio Tagliavini; Anna Nigri; Silvia De Francesco; Andrea Cappozzo; Michele Piana; Francesca Ieva (CoRR, 2025)

Probabilistic approach to longitudinal response prediction: application to radiomics from brain cancer imaging. - Isabella Cama; Michele Piana; Cristina Campi; Sara Garbarino (CoRR, 2025)

Solving Implicit Inverse Problems with Homotopy-Based Regularization Path. - Davide Parodi; Federico Benvenuto; Sara Garbarino; Michele Piana (CoRR, 2025)

tiDAS: a time invariant approximation of the Delay and Sum algorithm for biomedical ultrasound PSF reconstructions. - Chiara Razzetta; Sara Garbarino; Michele Piana; Marco Crocco; Federico Benvenuto (CoRR, 2025)