Sara Garbarino

17 papers Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
DISARM++: Beyond scanner-free harmonization.
CoRR
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
2025 J jnl
Probabilistic approach to longitudinal response prediction: application to radiomics from brain cancer imaging.
CoRR
Isabella Cama, Michele Piana, Cristina Campi, Sara Garbarino
2025 J jnl
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging.
CoRR
Isabella Cama, Alejandro Guzmán, Cristina Campi, Michele Piana, Karim Lekadir, Sara Garbarino, Oliver Díaz
2025 J jnl
Solving Implicit Inverse Problems with Homotopy-Based Regularization Path.
CoRR
Davide Parodi, Federico Benvenuto, Sara Garbarino, Michele Piana
2025 J jnl
tiDAS: a time invariant approximation of the Delay and Sum algorithm for biomedical ultrasound PSF reconstructions.
CoRR
Chiara Razzetta, Sara Garbarino, Michele Piana, Marco Crocco, Federico Benvenuto
2024 — conf
DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation.
MLCN@MICCAI
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
2022 J jnl
Forward-fitting STIX visibilities.
CoRR
Anna Volpara, Paolo Massa, Emma Perracchione, Andrea Francesco Battaglia, Sara Garbarino, Federico Benvenuto, Anna Maria Massone, Sam Krucker, Michele Piana
2021 J jnl
Imaging from STIX visibility amplitudes.
CoRR
Paolo Massa, Emma Perracchione, Sara Garbarino, Andrea F. Battaglia, Federico Benvenuto, Michele Piana, Gordon Hurford, Sam Krucker
2021 J jnl
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain.
NeuroImage
Sara Garbarino, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
2021 J jnl
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease.
ACM Trans. Comput. Heal.
Maura Bellio, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford
2021 J jnl
Regularization from examples via neural networks for parametric inverse problems: topology matters.
CoRR
Paolo Massa, Sara Garbarino, Federico Benvenuto
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
CoRR
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 J jnl
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019 — conf
Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks.
IPMI
Sara Garbarino, Marco Lorenzi
2017 — conf
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
IPMI
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander
2016 J jnl
Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology.
CoRR
Fabrice Delbary, Sara Garbarino
2013 J jnl
Estimate of FDG Excretion by means of Compartmental Analysis and Ant Colony Optimization of Nuclear Medicine Data.
Comput. Math. Methods Medicine
Sara Garbarino, Giacomo Caviglia, Massimo Brignone, Michela Massollo, Gianmario Sambuceti, Michele Piana