Showing results (1-10 of 23) 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 SchirinziComputer Methods and Programs in Biomedicine|November 22, 2017
Enhanced Wiener filter for ultrasound image restorationFabio Baselice, Giampaolo Ferraioli, Michele Ambrosanio, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Speckle reduction based on Wiener filter in ultrasound imagesFabio Baselice, Giampaolo Ferraioli, Angel Caroline Johnsy, et al.Sensors (Basel, Switzerland)|May 3, 2016
A New Methodology for 3D Target Detection in Automotive Radar ApplicationsFabio Baselice, Giampaolo Ferraioli, Sergyi Lukin, et al.Thescientificworldjournal|October 24, 2015
Support Detection for SAR Tomographic Reconstructions from Compressive MeasurementsAlessandra Budillon, Gilda SchirinziAnnual 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 PascazioIEEE 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 FerraiuoloSensors (Basel, Switzerland)|February 10, 2012
Relaxation time estimation from complex magnetic resonance imagesFabio Baselice, Giampaolo Ferraioli, Vito PascazioBiomed Research International|January 23, 2016
A Novel Statistical Approach for Brain MR Images Segmentation Based on Relaxation TimesFabio Baselice, Giampaolo Ferraioli, Vito PascazioMagnetic Resonance Imaging|November 25, 2015
A Bayesian approach for relaxation times estimation in MRIFabio Baselice, Giampaolo Ferraioli, Vito PascazioPageof 3