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Thursday 1 February 2024
Thursday 1 February 2024
Welcome 9:00 - 9:20
9:00 - 9:10
Opening
Opening
Serena Morigi - Director of MIVA
9:10 - 9:50
Bayesian sparsity in imaging
Bayesian sparsity in imaging
Erkki Somersalo, Case Western Reserve University
9:50 - 10:10
A deep learning approach for motion correction of MRI images
A deep learning approach for motion correction of MRI images
Paolo Angella, Università di Genova
10:10 - 10:30
Imaging by light: the matematics of diffuse optical tomography
Imaging by light: the matematics of diffuse optical tomography
Paola Causin, Università di Milano
10:30 - 10:50
A multiplicative components framework for fuzzy segmentation of noisy MR images
A multiplicative components framework for fuzzy segmentation of noisy MR images
Marco Viola, University College Dublin
Coffee break 10:50 - 11:20
11:20 - 11:40
A nested primal-dual iterated Tikhonov method for regularized convex optimization
A nested primal-dual iterated Tikhonov method for regularized convex optimization
Stefano Aleotti, Università dell'Insubria
11:40 - 12:00
Inverse problems in image processing: new results and open problems from the point of view of the mathematics for nonstationary data
Inverse problems in image processing: new results and open problems from the point of view of the mathematics for nonstationary data
Antonio Cicone, Università dell'Aquila
12:00 - 12:20
Flipped structured matrix sequences in image deblurring with general boundary conditions
Flipped structured matrix sequences in image deblurring with general boundary conditions
Paola Ferrari, Bergische Universität Wuppertal
12:20 - 12:40
Off-the-grid regularisation for Poisson inverse problems
Off-the-grid regularisation for Poisson inverse problems
Marta Lazzaretti, Università di Genova
Lunch break 12:40 - 2:00
2:00 - 2:40
Regularisation of tomographic inverse problems through multiresolution systems
Regularisation of tomographic inverse problems through multiresolution systems
Tatiana A. Bubba, University of Bath
2:40 - 3:00
Topological data analysis and classification
Topological data analysis and classification
Cinzia Bandiziol, Università di Padova
3:00 - 3:20
To be or not to be stable, that is the question: understanding neural networks for inverse problems
To be or not to be stable, that is the question: understanding neural networks for inverse problems
Davide Evangelista, Università di Bologna
Coffee break 3:20 - 3:40
3:40 - 4:20
Randomized magic: Harnessing randomness for solving inverse problems
Randomized magic: Harnessing randomness for solving inverse problems
Francesca Pitolli, Sapienza Università di Roma
4:20 - 4:40
New trends on signal decomposition
New trends on signal decomposition
Alessandro Lanza, Università di Bologna
4:40 - 5:00
Bilevel blind deconvolution
Bilevel blind deconvolution
Monica Pragliola, Università di Napoli "Federico II"
Closing 5:00 - 5:10
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