Alessandra Bertoldo

Orcid: 0000-0002-6262-6354

According to our database1, Alessandra Bertoldo authored at least 47 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Controlling target brain regions by optimal selection of input nodes.
PLoS Comput. Biol., January, 2024

2023
The effect of processing pipelines, input images and age on automatic cortical morphology estimates.
Comput. Methods Programs Biomed., December, 2023

Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester.
Neuroinformatics, October, 2023

Review on deep learning fetal brain segmentation from Magnetic Resonance images.
Artif. Intell. Medicine, September, 2023

Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester.
Neuroinformatics, July, 2023

Dynamic Brain Networks with Prescribed Functional Connectivity.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Variability of regional glucose metabolism and the topology of functional networks in the human brain.
NeuroImage, 2022

Modeling venous plasma samples in $[^{18}\mathrm{F}]$ FDG PET studies: a nonlinear mixed-effects approach.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Image-derived Input Function in brain [<sup>18</sup>F]FDG PET data: which alternatives to the carotid siphons?
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Generalized DCM models for pre-filtering compensation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Assessing different approaches to estimate single-subject metabolic connectivity from dynamic [<sup>18</sup>F]fluorodeoxyglucose Positron Emission Tomography data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Estimating Effective Connectivity using Brain Partitioning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data.
NeuroImage, 2020

2019
A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies.
IEEE Trans. Biomed. Eng., 2019

Archetypes of human cognition defined by time preference for reward and their brain correlates: An evolutionary trade-off approach.
NeuroImage, 2019

Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [<sup>18</sup>F]Fdg Metabolic Rate.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
The role of noise modeling in the estimation of resting-state brain effective connectivity.
CoRR, 2018

2017
Test-retest reproducibility of quantitative binding measures of [<sup>11</sup>C]Ro15-4513, a PET ligand for GABA<sub>A</sub> receptors containing alpha5 subunits.
NeuroImage, 2017

Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain.
NeuroImage, 2017

A Variational Bayesian inference method for parametric imaging of PET data.
NeuroImage, 2017

On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects.
J. Cogn. Neurosci., 2017

Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Estimating effective connectivity in linear brain network models.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot.
NeuroImage, 2016

Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications.
Comput. Math. Methods Medicine, 2016

2015
A novel approach to motion correction for ASL images based on brain contours.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Modelling arterial input functions in positron emission tomography dynamic studies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Advancing Our Understanding of the Glucose System via Modeling: A Perspective.
IEEE Trans. Biomed. Eng., 2014

Baseline constrained reconstruction of DSC-MRI tracer kinetics from sparse fourier data.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
A non-linear mixed effect modelling approach for metabolite correction of the arterial input function in PET studies.
NeuroImage, 2013

Multi-scale hierarchical approach for parametric mapping: Assessment on multi-compartmental models.
NeuroImage, 2013

SAKE: A new quantification tool for positron emission tomography studies.
Comput. Methods Programs Biomed., 2013

2012
A robust method for investigating thalamic white matter tracts after traumatic brain injury.
NeuroImage, 2012

Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [<sup>11</sup>C]DPN study.
NeuroImage, 2012

Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Global-two-stage filtering of clinical PET parametric maps: Application to [<sup>11</sup>C]-(R)-PK11195.
NeuroImage, 2011

Integrating EEG and fMRI in epilepsy.
NeuroImage, 2011

Automatic selection of arterial input function on dynamic contrast-enhanced MR images.
Comput. Methods Programs Biomed., 2011

2010
A spectral analysis approach for voxelwise determination of regional rates of cerebral protein synthesis with the L-[1-11C]leucine PET method.
NeuroImage, 2010

Use of the global-two-stage algorithm to improve parametric maps in PET imaging: Application to [11C](R)-PK11195.
NeuroImage, 2010

Multi-scale hierarchical generation of PET parametric maps: Application and testing on [11C]DPN study.
NeuroImage, 2010

Kinetic modeling of the adenosine A2A subtype receptor radioligand [11C]SCH442416 in humans.
NeuroImage, 2010

2009
Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov.
IEEE Trans. Biomed. Eng., 2009

Nonlinear Mixed Effects to Improve Glucose Minimal Model Parameter Estimation: A Simulation Study in Intensive and Sparse Sampling.
IEEE Trans. Biomed. Eng., 2009

2006
Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2004
"Population" approach improves parameter estimation of kinetic models from dynamic PET data.
IEEE Trans. Medical Imaging, 2004


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