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Publications
A. Viani, G. Luria, H. Bornfleth, A. Sorrentino
Where Bayes tweaks Gauss: Conditionally Gaussian priors for stable multi-dipole estimation Inverse Problems and Imaging (in press) arxiv:2006.04141 E. Vallarino, A. Sorrentino, M. Piana, S. Sommariva The role of spectral complexity in connectivity estimation Axioms 10 (1) (2021) G. Luria, D. Duran, E. Visani, D. Rossi Sebastiano, A. Sorrentino, L. Tassi, A. Granvillano, S. Franceschetti, F. Panzica Towards the Automatic Localization of the Irritative Zone Through Magnetic Source Imaging Brain Topography 33 (5) 651-663. (2020) E. Mikulan, S. Russo, S. Parmigiani, S. Sarasso, F.M. Zauli, A. Rubino, P. Avanzini, A. Cattani, A. Sorrentino, S. Gibbs, F. Cardinale, I. Sartori, L. Nobili, M. Massimini, A. Pigorini Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods Scientific Data 7 (1) 1-8 (2020) E. Vallarino, S. Sommariva, M. Piana, A. Sorrentino On the two-step estimation of the cross-power spectrum for dynamical linear inverse problems Inverse Problems 36 (4), 045010 (2020) arxiv:1909.01266 F. Sciacchitano, S. Lugaro and A. Sorrentino Sparse Bayesian Imaging of Solar Flares SIAM Journal on Imaging Sciences 12 (1) 319-343 (2019) arXiv:1807.11287 G. Luria, D. Duran, E. Visani, S. Sommariva, F. Rotondi, D. Rossi Sebastiano, F. Panzica, M. Piana and A. Sorrentino Bayesian Multi--Dipole Modeling in the Frequency Domain The Journal of Neuroscience Methods 312, 27-36 (2019) arXiv:1808.08086 A.M. Massone, F. Sciacchitano, M. Piana, A. Sorrentino Compressed sensing and Sequential Monte Carlo for solar hard X-ray imaging Il Nuovo Cimento (2019) arxiv:1812.08413 V. Vivaldi, S. Sommariva and A. Sorrentino A simplex method for the calibration of a MEG device Communications in Applied and Industrial Mathematics 10(2) 35-46 (2019) F. Sciacchitano, A. Sorrentino, A.G. Emslie, A.M. Massone and M. Piana Identification of multiple hard X-ray sources in solar flares: A Bayesian analysis of the February 20 2002 event The Astrophysical Journal 862:68 (2018) arXiv:1801.09141 S. Sommariva, A. Sorrentino, M.Piana, V. Pizzella and L. Marzetti A comparative analysis of the robustness of frequency--domain connectivity measures to finite data length Brain Topography (2017) arXiv:1711.03332 F. Rossi, G. Luria, S. Sommariva and A. Sorrentino Bayesian multi-dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings EMBEC 2017, IFMBE Proceedings, vol 65 (2017) arXiv:1706.06089 [q-bio.QM] G. Denevi, S. Garbarino and A. Sorrentino Iterative algorithms for a non-linear inverse problem in atmospheric lidar Inverse Problems 33 Num. 8 085010 (2017) arXiv:1706.06050 [math.NA] A. Sorrentino and M. Piana Inverse Modeling for MEG/EEG data in Mathematical and Theoretical Neuroscience, Springer (2017) arXiv:1705.02867 [math.NA] S. Garbarino, A. Sorrentino, A.M. Massone, A. Sannino, A. Boselli, X. Wang, N. Spinelli, and M. Piana Expectation maximization and the retrieval of the atmospheric extinction coefficients by inversion of Raman lidar data Optics Express volume 24 issue 19 pp. 21497-21511 (2016) arXiv:1608.07841 [math.NA] V. Vivaldi and A. Sorrentino Bayesian smoothing of dipoles in Magneto-/Electro-encephalography Inverse Problems 32 Num. 4 045007 (2016) arXiv:1602.04003 [math.NA] S. Sommariva and A. Sorrentino Sequential Monte Carlo samplers for semi-linear inverse problems and application to Magnetoencephalography Inverse Problems 30 114020 (2014) arXiv:1409.8109 [stat.AP] A. Sorrentino, G. Luria and R. Aramini Bayesian Multi-Dipole Modeling of a Single Topography in MEG by Adaptive Sequential Monte Carlo Samplers Inverse Problems 30 045010 (2014) arXiv:1305.4511v2 [stat.AP] A. Sorrentino, A.M. Johansen, J.A.D. Aston, T.E. Nichols and W.S. Kendall Dynamic filtering of static dipoles in magnetoencephalography Annals of Applied Statistics 7: 955-988 (2013) arXiv:1205.6310v1 [stat.ME] A. Pascarella and A. Sorrentino Statistical Approaches to the Inverse Problem Magnetoencephalography, Elizabeth W. Pang (Ed.), ISBN: 978-953-307-255-5, InTech (2011) C. Campi, A. Pascarella, A. Sorrentino and M. Piana Highly Automated Dipole EStimation Computational Intelligence and Neuroscience, 982185 (2011) S. Pursiainen, A. Sorrentino, C. Campi and M. Piana Forward simulation and inverse dipole localization with lowest order Raviart-Thomas elements for electroencephalography Inverse Problems 27 045003 (2011) A. Sorrentino Particle Filters for Magnetoencephalography , Archives of Computational Methods in Engineering 17, 213-251 (2010) A. Pascarella, A. Sorrentino, C. Campi and M. Piana Particle filtering, beamforming and multiple signal classification for the analysis of magnetoencephalography time series: a comparison of algorithms Inverse Problems and Imaging 4: 169-190 (2010) A. Sorrentino, L. Parkkonen, A. Pascarella, C. Campi and M. Piana Dynamical meg source modeling with multi-target bayesian tracking Human Brain Mapping 30 1911-1921C. (2009) C.Campi, A. Pascarella, A. Sorrentino, M. Piana Bayesian Tracking of neural activity in biomagnetic data Communications to SIMAI congress vol. 3 (2009) C. Campi, A. Pascarella, A. Sorrentino and M. Piana A Rao-Blackwellized particle filter for magnetoencephalography Inverse Problems 24 025023 (2008) A. Sorrentino, A. Pascarella, C. Campi, M. Piana A comparative analysis of algorithms for the magnetoencephalography inverse problem Journal of Physics: Conference Series 135 012094 (2008) A. Sorrentino, A. Pascarella, C. Campi, M. Piana Particle filters for magnetoencephalography inverse problem: increasing the efficiency through a semi-analytic approach Journal of Physics: Conference Series 124 012046 (2008) A. Sorrentino, L. Parkkonen and M. Piana Particle filters: a new method for reconstructing multiple current dipoles from MEG data International Congress Series 1300: 173-176 (2007) A. Pascarella, A. Sorrentino, M. Piana, and L. Parkkonen Particle filters and RAP-MUSIC in MEG source modelling: A comparison International Congress Series 1300: 161-164 (2007) A. Sorrentino, L. Parkkonen, M. Piana, A.M. Massone, L. Narici, S. Carozzo, M. Riani and W.G. Sannita Modulation of brain and behavioural responses to cognitive visual stimuli with varying signal-to-noise ratio Clinical Neurophysiology 117: 1098-1105 (2006) |
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