12 citations · 12 across the 1 of their papers we have counts for
8 papers
Neural networks for classification of strokes in electrical impedance tomography on a 3D head model
Valentina Candiani, Matteo Santacesaria
We consider the problem of the detection of brain hemorrhages from three dimensional (3D) electrical impedance tomography (EIT) measurements. This is a condition requiring urgent t…
Compressed sensing photoacoustic tomography reduces to compressed sensing for undersampled Fourier measurements
Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria
Photoacoustic tomography (PAT) is an emerging imaging modality that aims at measuring the high-contrast optical properties of tissues by means of high-resolution ultrasonic measure…
Classification of stroke using Neural Networks in Electrical Impedance Tomography
Juan Pablo Agnelli, Aynur Çöl, Matti Lassas +3
Electrical Impedance Tomography (EIT) is an emerging non-invasive medical imaging modality. It is based on feeding electrical currents into the patient, measuring the resulting vol…
Calderón's Inverse Problem with a Finite Number of Measurements II: Independent Data
Giovanni S. Alberti, Matteo Santacesaria
We prove a local Lipschitz stability estimate for Gel'fand-Calderón's inverse problem for the Schrödinger equation. The main novelty is that only a finite number of boundary input…
On an inverse Robin spectral problem
Matteo Santacesaria, Toshiaki Yachimura
We consider the problem of the recovery of a Robin coefficient on a part of the boundary of a bounded domain from the principal eigenvalue and the boundar…
Calderón's Inverse Problem with a Finite Number of Measurements
Giovanni S. Alberti, Matteo Santacesaria
We prove that an potential in the Schrödinger equation in three and higher dimensions can be uniquely determined from a finite number of boundary measurements, provided…