Francesca Zanderigo

Orcid: 0000-0001-6510-0676

According to our database1, Francesca Zanderigo authored at least 19 papers between 2006 and 2022.

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

Timeline

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Bibliography

2022
Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [<sup>18</sup>F]FDG.
NeuroImage, 2022

2019
Quantifying Brain [<sup>18</sup>F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2019

Accuracy and reliability of [<sup>11</sup>C]PBR28 specific binding estimated without the use of a reference region.
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
Non-invasive estimation of [<sup>11</sup>C]PBR28 binding potential.
NeuroImage, 2018

Likelihood estimation of drug occupancy for brain PET studies.
NeuroImage, 2018

2017
Estimation of the binding potential BP<sub>ND</sub> without a reference region or blood samples for brain PET studies.
NeuroImage, 2017

2015
Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2015

Estimation of in vivo nonspecific binding in positron emission tomography studies without requiring a reference region.
NeuroImage, 2015

Non-invasive quantification of brain [<sup>18</sup>F]-FDG uptake by combining medical health records and dynamic PET imaging data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Combining brain imaging data with electronic health records to non-invasively quantify [<sup>11</sup>C]DASB binding.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2012
Brain tissue selection procedures for image derived input functions derived using independent components analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

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

2010
A voxel-based clustering approach for the automatic selection of testing regions in the simultaneous estimation of input functions in PET.
NeuroImage, 2010

A data adaptive approach to the robust fitting of PET data.
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

A new method for assessing PET-MRI coregistration.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2007
Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series.
IEEE Trans. Biomed. Eng., 2007

2006
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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