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Vito Pascazio

Showing results (1-10 of 22) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 6, 2008
Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parametersVito Pascazio, Gilda Schirinzi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Compressive Sensing for Breast Microwave ImagingMichele Ambrosanio, Vito Pascazio
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 2, 2008
Statistical regularization in linearized microwave imaging through MRF-based MAP estimation: hyperparameter estimation and image computationVito Pascazio, Giancarlo Ferraiuolo
Sensors (Basel, Switzerland)|February 10, 2012
Relaxation time estimation from complex magnetic resonance imagesFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Biomed Research International|January 23, 2016
A Novel Statistical Approach for Brain MR Images Segmentation Based on Relaxation TimesFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Magnetic Resonance Imaging|November 25, 2015
A Bayesian approach for relaxation times estimation in MRIFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Biomedical Engineering Online|February 9, 2017
A 3D MRI denoising algorithm based on Bayesian theoryFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Multithreshold Iterative DBIM-Based Algorithm for the Imaging of Heterogeneous Breast TissuesMichele Ambrosanio, Panagiotis Kosmas, Vito Pascazio
Bioengineering (Basel, Switzerland)|November 10, 2022
An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time ApplicationsMichele Ambrosanio, Stefano Franceschini, Vito Pascazio, et al.
Sensors (Basel, Switzerland)|January 31, 2014
Optimal configuration for relaxation times estimation in complex spin echo imagingFabio Baselice, Giampaolo Ferraioli, Alessandro Grassia, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 6, 2008
Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parametersVito Pascazio, Gilda Schirinzi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Compressive Sensing for Breast Microwave ImagingMichele Ambrosanio, Vito Pascazio
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 2, 2008
Statistical regularization in linearized microwave imaging through MRF-based MAP estimation: hyperparameter estimation and image computationVito Pascazio, Giancarlo Ferraiuolo
Sensors (Basel, Switzerland)|February 10, 2012
Relaxation time estimation from complex magnetic resonance imagesFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Biomed Research International|January 23, 2016
A Novel Statistical Approach for Brain MR Images Segmentation Based on Relaxation TimesFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Magnetic Resonance Imaging|November 25, 2015
A Bayesian approach for relaxation times estimation in MRIFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
Biomedical Engineering Online|February 9, 2017
A 3D MRI denoising algorithm based on Bayesian theoryFabio Baselice, Giampaolo Ferraioli, Vito Pascazio
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Multithreshold Iterative DBIM-Based Algorithm for the Imaging of Heterogeneous Breast TissuesMichele Ambrosanio, Panagiotis Kosmas, Vito Pascazio
Bioengineering (Basel, Switzerland)|November 10, 2022
An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time ApplicationsMichele Ambrosanio, Stefano Franceschini, Vito Pascazio, et al.
Sensors (Basel, Switzerland)|January 31, 2014
Optimal configuration for relaxation times estimation in complex spin echo imagingFabio Baselice, Giampaolo Ferraioli, Alessandro Grassia, et al.
Pageof 3