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20192023
most citedNeural networks for classification of strokes in electrical impedance tomography on a 3D head model

18 citations · 36 across the 6 of their papers we have counts for

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math.AP2019★ 11 cited

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…

math.NA2019

Computational framework for applying electrical impedance tomography to head imaging

Valentina Candiani, Antti Hannukainen, Nuutti Hyvönen

This work introduces a computational framework for applying absolute electrical impedance tomography to head imaging without accurate information on the head shape or the electrode…