2 papers
math.NA2020
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…
math.AP2019
Monotonicity-based reconstruction of extreme inclusions in electrical impedance tomography
Valentina Candiani, Jérémi Dardé, Henrik Garde +1
The monotonicity-based approach has become one of the fundamental methods for reconstructing inclusions in the inverse problem of electrical impedance tomography. Thus far the meth…