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20232026
most citedLearning a Gaussian Mixture for Sparsity Regularization in Inverse Problems

1 citations · 2 across the 9 of their papers we have counts for

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math.NA2025

Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography

Giovanni S. Alberti, Damiana Lazzaro, Serena Morigi +2

Multi-frequency Electrical Impedance Tomography (mfEIT) represents a promising biomedical imaging modality that enables the estimation of tissue conductivities across a range of fr…

math.OC2025

Revisiting DONet: microlocally inspired filters for incomplete-data tomographic reconstructions

Tatiana A. Bubba, Luca Ratti, Andrea Sebastiani

In this paper, we revisit a supervised learning approach based on unrolling, known as DONet, by providing a deeper microlocal interpretation for its theoretical analysis, and ex…