Evaluation of compartmental and spectral analysis models of [18F]FDG kinetics for heart and brain studies with PET. - Alessandra Bertoldo; Paolo Vicini; Gianmario Sambuceti; Adriaan A. Lammertsma; Oberdan Parodi; Claudio Cobelli (IEEE Trans. Biomed. Eng., 1998)

"Population" approach improves parameter estimation of kinetic models from dynamic PET data. - Alessandra Bertoldo; Giovanni Sparacino; Claudio Cobelli (IEEE Trans. Medical Imaging, 2004)

Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches. - Paolo Denti; Alessandra Bertoldo; Paolo Vicini; Claudio Cobelli (EMBC, 2006)

Nonlinear Mixed Effects to Improve Glucose Minimal Model Parameter Estimation: A Simulation Study in Intensive and Sparse Sampling. - Paolo Denti; Alessandra Bertoldo; Paolo Vicini; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2009)

Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov. - Francesca Zanderigo; Alessandra Bertoldo; Gianluigi Pillonetto; Claudio Cobelli (IEEE Trans. Biomed. Eng., 2009)

Kinetic modeling of the adenosine A2A subtype receptor radioligand [11C]SCH442416 in humans. - Ilaria Boscolo Galazzo; Subrata K. Bose; Anil F. Ramlackhansingh; Imtiaz Ahmed; Nicola Pavese; Gaia Rizzo; David J. Brooks; Federico E. Turkheimer; Alessandra Bertoldo (NeuroImage, 2010)

Multi-scale hierarchical generation of PET parametric maps: Application and testing on [11C]DPN study. - Gaia Rizzo; Federico E. Turkheimer; Shiva Keihaninejad; Subrata K. Bose; Alexander Hammers; Alessandra Bertoldo (NeuroImage, 2010)

Use of the global-two-stage algorithm to improve parametric maps in PET imaging: Application to [11C](R)-PK11195. - Giampaolo Tomasi; Alessandra Bertoldo; Claudio Cobelli; Nicola Pavese; Yen. F. Tai; Alexander Hammers; Federico E. Turkheimer (NeuroImage, 2010)

A spectral analysis approach for voxelwise determination of regional rates of cerebral protein synthesis with the L-[1-11C]leucine PET method. - Mattia Veronese; Alessandra Bertoldo; Kathleen C. Schmidt (NeuroImage, 2010)

Automatic selection of arterial input function on dynamic contrast-enhanced MR images. - Denis Peruzzo; Alessandra Bertoldo; Francesca Zanderigo; Claudio Cobelli (Comput. Methods Programs Biomed., 2011)

Integrating EEG and fMRI in epilepsy. - Emanuela Formaggio; Silvia Francesca Storti; Alessandra Bertoldo; Paolo Manganotti; Antonio Fiaschi; Gianna Maria Toffolo (NeuroImage, 2011)

Global-two-stage filtering of clinical PET parametric maps: Application to [11C]-(R)-PK11195. - Giampaolo Tomasi; Alessandra Bertoldo; Claudio Cobelli; Nicola Pavese; Yen. F. Tai; Alexander Hammers; Federico E. Turkheimer (NeuroImage, 2011)

Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods. - Anna Largajolli; Alessandra Bertoldo; Claudio Cobelli (EMBC, 2012)

Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences. - Enea Poletti; Elisa Veronese; Massimiliano Calabrese; Alessandra Bertoldo; Enrico Grisan (Image Processing, 2012)

Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [11C]DPN study. - Gaia Rizzo; Federico E. Turkheimer; Shiva Keihaninejad; Subrata K. Bose; Alexander Hammers; Alessandra Bertoldo (NeuroImage, 2012)

A robust method for investigating thalamic white matter tracts after traumatic brain injury. - Letizia Squarcina; Alessandra Bertoldo; Timothy E. Ham; Rolf A. Heckemann; David J. Sharp (NeuroImage, 2012)

SAKE: A new quantification tool for positron emission tomography studies. - Mattia Veronese; Gaia Rizzo; Federico E. Turkheimer; Alessandra Bertoldo (Comput. Methods Programs Biomed., 2013)

Multi-scale hierarchical approach for parametric mapping: Assessment on multi-compartmental models. - Gaia Rizzo; Federico E. Turkheimer; Alessandra Bertoldo (NeuroImage, 2013)

A non-linear mixed effect modelling approach for metabolite correction of the arterial input function in PET studies. - Mattia Veronese; Roger N. Gunn; Stefano Zamuner; Alessandra Bertoldo (NeuroImage, 2013)

Baseline constrained reconstruction of DSC-MRI tracer kinetics from sparse fourier data. - Davide Boschetto; Pierantonio Di Prima; Marco Castellaro; Alessandra Bertoldo; Enrico Grisan (ISBI, 2014)

Advancing Our Understanding of the Glucose System via Modeling: A Perspective. - Claudio Cobelli; Chiara Dalla Man; Morten Gram Pedersen; Alessandra Bertoldo; Gianna Toffolo (IEEE Trans. Biomed. Eng., 2014)

Modelling arterial input functions in positron emission tomography dynamic studies. - Matteo Tonietto; Gaia Rizzo; Mattia Veronese; Alessandra Bertoldo (EMBC, 2015)

A novel approach to motion correction for ASL images based on brain contours. - Giacomo Tarroni; Marco Castellaro; Carlo Boffano; Maria Grazia Bruzzone; Alessandra Bertoldo; Enrico Grisan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications. - Mattia Veronese; Gaia Rizzo; Alessandra Bertoldo; Federico E. Turkheimer (Comput. Math. Methods Medicine, 2016)

Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot. - Mattia Veronese; Paolo Zanotti-Fregonara; Gaia Rizzo; Alessandra Bertoldo; Robert B. Innis; Federico E. Turkheimer (NeuroImage, 2016)

Estimating effective connectivity in linear brain network models. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2017)

Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. - Alessandro Palombit; Marco Castellaro; Massimiliano Calabrese; Chiara Romualdi; Francesca Benedetta Pizzini; Stefania Montemezzi; Enrico Grisan; Alessandra Bertoldo (ISBI, 2017)

On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects. - Sabrina Brigadoi; Simone Cutini; Federica Meconi; Marco Castellaro; Paola Sessa; Mattia Marangon; Alessandra Bertoldo; Pierre Jolicoeur; Roberto Dell'Acqua (J. Cogn. Neurosci., 2017)

A Variational Bayesian inference method for parametric imaging of PET data. - Marco Castellaro; Gaia Rizzo; Matteo Tonietto; Mattia Veronese; Federico E. Turkheimer; Michael A. Chappell; Alessandra Bertoldo (NeuroImage, 2017)

Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain. - Peter J. Hellyer; Erica F. Barry; Alberto Pellizzon; Mattia Veronese; Gaia Rizzo; Matteo Tonietto; Manuel Schütze; Michael J. Brammer; Marco Aurélio Romano-Silva; Alessandra Bertoldo; Federico E. Turkheimer (NeuroImage, 2017)

Test-retest reproducibility of quantitative binding measures of [11C]Ro15-4513, a PET ligand for GABAA receptors containing alpha5 subunits. - Colm J. McGinnity; Daniela A. Riaño Barros; Lula Rosso; Mattia Veronese; Gaia Rizzo; Alessandra Bertoldo; Rainer Hinz; Federico E. Turkheimer; Matthias J. Koepp; Alexander Hammers (NeuroImage, 2017)

The role of noise modeling in the estimation of resting-state brain effective connectivity. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CoRR, 2018)

Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [18F]Fdg Metabolic Rate. - Matteo Tonietto; Francesca Zanderigo; Alessandra Bertoldo; Davangere P. Devanand; J. John Mann; Benedetta Bodini; Bruno Stankoff (ISBI, 2019)

Archetypes of human cognition defined by time preference for reward and their brain correlates: An evolutionary trade-off approach. - Giorgia Cona; Loren Koçillari; Alessandro Palombit; Alessandra Bertoldo; Amos Maritan; Maurizio Corbetta (NeuroImage, 2019)

A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies. - Matteo Tonietto; Gaia Rizzo; Mattia Veronese; Faith Borgan; Peter S. Bloomfield; Oliver D. Howes; Alessandra Bertoldo (IEEE Trans. Biomed. Eng., 2019)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. - Giulia Prando; Mattia Zorzi; Alessandra Bertoldo; Maurizio Corbetta; Marco Zorzi; Alessandro Chiuso (NeuroImage, 2020)

Estimating Effective Connectivity using Brain Partitioning. - Elvina Gindullina; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2021)

Assessing different approaches to estimate single-subject metabolic connectivity from dynamic [18F]fluorodeoxyglucose Positron Emission Tomography data. - Tommaso Volpi; Erica Silvestri; Maurizio Corbetta; Alessandra Bertoldo (EMBC, 2021)

Generalized DCM models for pre-filtering compensation. - Elvina Gindullina; Mattia Zorzi; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2022)

Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons? - Erica Silvestri; Tommaso Volpi; Andrea Bettinelli; Mattia De Francisci; Judson Jones; Maurizio Corbetta; Diego Cecchin; Alessandra Bertoldo (EMBC, 2022)

Modeling venous plasma samples in $[^{18} mathrm{F}]$ FDG PET studies: a nonlinear mixed-effects approach. - Tommaso Volpi; John J. Lee 004; Erica Silvestri; Tony Durbin; Maurizio Corbetta; Manu S. Goyal; Andrei G. Vlassenko; Alessandra Bertoldo (EMBC, 2022)

Variability of regional glucose metabolism and the topology of functional networks in the human brain. - Alessandro Palombit; Erica Silvestri; Tommaso Volpi; Marco Aiello 003; Diego Cecchin; Alessandra Bertoldo; Maurizio Corbetta (NeuroImage, 2022)

Dynamic Brain Networks with Prescribed Functional Connectivity. - Umberto Casti; Giacomo Baggio; Danilo Benozzo; Sandro Zampieri; Alessandra Bertoldo; Alessandro Chiuso (CDC, 2023)

Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. - Tommaso Ciceri; Letizia Squarcina; Alessandro Pigoni; Adele Ferro; Florian Montano; Alessandra Bertoldo; Nicola Persico; Simona Boito; Fabio Maria Triulzi; Giorgio Conte; Paolo Brambilla; Denis Peruzzo (Neuroinformatics, 2023)

Review on deep learning fetal brain segmentation from Magnetic Resonance images. - Tommaso Ciceri; Letizia Squarcina; Alice Giubergia; Alessandra Bertoldo; Paolo Brambilla; Denis Peruzzo (Artif. Intell. Medicine, 2023)

Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. - Tommaso Ciceri; Letizia Squarcina; Alessandro Pigoni; Adele Ferro; Florian Montano; Alessandra Bertoldo; Nicola Persico; Simona Boito; Fabio Maria Triulzi; Giorgio Conte; Paolo Brambilla; Denis Peruzzo (Neuroinformatics, 2023)

The effect of processing pipelines, input images and age on automatic cortical morphology estimates. - Giulia Debiasi; Ilaria Mazzonetto; Alessandra Bertoldo (Comput. Methods Programs Biomed., 2023)

Fetal brain MRI atlases and datasets: A review. - Tommaso Ciceri; Luca Casartelli; Florian Montano; Stefania Conte; Letizia Squarcina; Alessandra Bertoldo; Nivedita Agarwal; Paolo Brambilla; Denis Peruzzo (NeuroImage, 2024)

Multiscale and multimodal signatures of structure-function coupling variability across the human neocortex. - Massimiliano Facca; Alessandra Del Felice; Alessandra Bertoldo (NeuroImage, 2024)

Controlling target brain regions by optimal selection of input nodes. - Karan Kabbur Hanumanthappa Manjunatha; Giorgia Baron; Danilo Benozzo; Erica Silvestri; Maurizio Corbetta; Alessandro Chiuso; Alessandra Bertoldo; Samir Suweis; Michele Allegra (PLoS Comput. Biol., 2024)

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study. - Federico Del Pup; Andrea Zanola; Louis Fabrice Tshimanga; Alessandra Bertoldo; Livio Finos; Manfredo Atzori (Comput. Biol. Medicine, 2025)