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Alessandra Bertoldo
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2020 – today
- 2024
- [j32]Tommaso Ciceri, Luca Casartelli, Florian Montano, Stefania Conte, Letizia Squarcina, Alessandra Bertoldo, Nivedita Agarwal
, Paolo Brambilla
Fetal brain MRI atlases and datasets: A review. NeuroImage 292: 120603 (2024) - [j31]Karan Kabbur Hanumanthappa Manjunatha
Controlling target brain regions by optimal selection of input nodes. PLoS Comput. Biol. 20(1) (2024) - 2023
- [j30]Tommaso Ciceri
Review on deep learning fetal brain segmentation from Magnetic Resonance images. Artif. Intell. Medicine 143: 102608 (2023) - [j29]Giulia Debiasi
The effect of processing pipelines, input images and age on automatic cortical morphology estimates. Comput. Methods Programs Biomed. 242: 107825 (2023) - [j28]Tommaso Ciceri
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics 21(3): 549-563 (2023) - [j27]Tommaso Ciceri
Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics 21(4): 669 (2023) - [c15]Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso:
Dynamic Brain Networks with Prescribed Functional Connectivity. CDC 2023: 709-714 - [i2]Umberto Casti, Giacomo Baggio, Danilo Benozzo, Sandro Zampieri, Alessandra Bertoldo, Alessandro Chiuso:
Dynamic Brain Networks with Prescribed Functional Connectivity. CoRR abs/2310.07262 (2023) - 2022
- [j26]Alessandro Palombit, Erica Silvestri, Tommaso Volpi, Marco Aiello, Diego Cecchin, Alessandra Bertoldo, Maurizio Corbetta:
Variability of regional glucose metabolism and the topology of functional networks in the human brain. NeuroImage 257: 119280 (2022) - [c14]Elvina Gindullina, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
Generalized DCM models for pre-filtering compensation. CDC 2022: 880-885 - [c13]Erica Silvestri, Tommaso Volpi
Image-derived Input Function in brain [18F]FDG PET data: which alternatives to the carotid siphons? EMBC 2022: 243-246 - [c12]Tommaso Volpi
Modeling venous plasma samples in $[^{18}\mathrm{F}]$ FDG PET studies: a nonlinear mixed-effects approach. EMBC 2022: 4704-4707 - 2021
- [c11]Elvina Gindullina, Mattia Zorzi
Estimating Effective Connectivity using Brain Partitioning. CDC 2021: 1574-1579 - [c10]Tommaso Volpi
Assessing different approaches to estimate single-subject metabolic connectivity from dynamic [18F]fluorodeoxyglucose Positron Emission Tomography data. EMBC 2021: 3259-3262 - 2020
- [j25]Giulia Prando, Mattia Zorzi
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208: 116367 (2020)
2010 – 2019
- 2019
- [j24]Giorgia Cona, Loren Koçillari
Archetypes of human cognition defined by time preference for reward and their brain correlates: An evolutionary trade-off approach. NeuroImage 185: 322-334 (2019) - [j23]Matteo Tonietto
A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies. IEEE Trans. Biomed. Eng. 66(5): 1447-1455 (2019) - [c9]Matteo Tonietto
Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [18F]Fdg Metabolic Rate. ISBI 2019: 376-379 - 2018
- [i1]Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Alessandro Chiuso:
The role of noise modeling in the estimation of resting-state brain effective connectivity. CoRR abs/1802.05533 (2018) - 2017
- [j22]Sabrina Brigadoi
On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects. J. Cogn. Neurosci. 29(2): 337-351 (2017) - [j21]Marco Castellaro
A Variational Bayesian inference method for parametric imaging of PET data. NeuroImage 150: 136-149 (2017) - [j20]Colm J. McGinnity
Test-retest reproducibility of quantitative binding measures of [11C]Ro15-4513, a PET ligand for GABAA receptors containing alpha5 subunits. NeuroImage 152: 270-282 (2017) - [j19]Peter J. Hellyer
Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain. NeuroImage 155: 209-216 (2017) - [c8]Giulia Prando, Mattia Zorzi
Estimating effective connectivity in linear brain network models. CDC 2017: 5931-5936 - [c7]Alessandro Palombit, Marco Castellaro
Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. ISBI 2017: 792-795 - 2016
- [j18]Mattia Veronese
Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications. Comput. Math. Methods Medicine 2016: 7187541:1-7187541:15 (2016) - [j17]Mattia Veronese
Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot. NeuroImage 130: 1-12 (2016) - 2015
- [c6]Matteo Tonietto
Modelling arterial input functions in positron emission tomography dynamic studies. EMBC 2015: 2247-2250 - [c5]Giacomo Tarroni
A novel approach to motion correction for ASL images based on brain contours. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171U - 2014
- [j16]Claudio Cobelli, Chiara Dalla Man
Advancing Our Understanding of the Glucose System via Modeling: A Perspective. IEEE Trans. Biomed. Eng. 61(5): 1577-1592 (2014) - [c4]Davide Boschetto, Pierantonio Di Prima, Marco Castellaro
Baseline constrained reconstruction of DSC-MRI tracer kinetics from sparse fourier data. ISBI 2014: 321-324 - 2013
- [j15]Mattia Veronese
SAKE: A new quantification tool for positron emission tomography studies. Comput. Methods Programs Biomed. 111(1): 199-213 (2013) - [j14]Mattia Veronese
A non-linear mixed effect modelling approach for metabolite correction of the arterial input function in PET studies. NeuroImage 66: 611-622 (2013) - [j13]Gaia Rizzo
Multi-scale hierarchical approach for parametric mapping: Assessment on multi-compartmental models. NeuroImage 67: 344-353 (2013) - 2012
- [j12]Gaia Rizzo
Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [11C]DPN study. NeuroImage 59(3): 2485-2493 (2012) - [j11]Letizia Squarcina
A robust method for investigating thalamic white matter tracts after traumatic brain injury. NeuroImage 63(2): 779-788 (2012) - [c3]Anna Largajolli, Alessandra Bertoldo
Identification of the glucose minimal model by stochastic nonlinear-mixed effects methods. EMBC 2012: 5482-5485 - [c2]Enea Poletti, Elisa Veronese, Massimiliano Calabrese
Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences. Medical Imaging: Image Processing 2012: 83142T - 2011
- [j10]Denis Peruzzo
Automatic selection of arterial input function on dynamic contrast-enhanced MR images. Comput. Methods Programs Biomed. 104(3): 148- (2011) - [j9]Emanuela Formaggio
Integrating EEG and fMRI in epilepsy. NeuroImage 54(4): 2719-2731 (2011) - [j8]Giampaolo Tomasi, Alessandra Bertoldo
Global-two-stage filtering of clinical PET parametric maps: Application to [11C]-(R)-PK11195. NeuroImage 55(3): 942-953 (2011) - 2010
- [j7]Ilaria Boscolo Galazzo, Subrata K. Bose, Anil F. Ramlackhansingh, Imtiaz Ahmed, Nicola Pavese, Gaia Rizzo
Kinetic modeling of the adenosine A2A subtype receptor radioligand [11C]SCH442416 in humans. NeuroImage 52(Supplement-1): S178 (2010) - [j6]Gaia Rizzo
Multi-scale hierarchical generation of PET parametric maps: Application and testing on [11C]DPN study. NeuroImage 52(Supplement-1): S179-S180 (2010) - [j5]Mattia Veronese
A spectral analysis approach for voxelwise determination of regional rates of cerebral protein synthesis with the L-[1-11C]leucine PET method. NeuroImage 52(Supplement-1): S212 (2010) - [j4]Giampaolo Tomasi, Alessandra Bertoldo, Claudio Cobelli, Nicola Pavese, Yen. F. Tai, Alexander Hammers, Federico E. Turkheimer:
Use of the global-two-stage algorithm to improve parametric maps in PET imaging: Application to [11C](R)-PK11195. NeuroImage 52(Supplement-1): S215 (2010)
2000 – 2009
- 2009
- [j3]Francesca Zanderigo
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. 56(5): 1287-1297 (2009) - [j2]Paolo Denti
Nonlinear Mixed Effects to Improve Glucose Minimal Model Parameter Estimation: A Simulation Study in Intensive and Sparse Sampling. IEEE Trans. Biomed. Eng. 56(9): 2156-2166 (2009) - 2006
- [c1]Paolo Denti
Identification of IVGTT minimal glucose model by nonlinear mixed-effects approaches. EMBC 2006: 5049-5052 - 2004
- [j1]Alessandra Bertoldo
"Population" approach improves parameter estimation of kinetic models from dynamic PET data. IEEE Trans. Medical Imaging 23(3): 297-306 (2004)
Coauthor Index
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