38 citations · 57 across the 5 of their papers we have counts for
5 papers
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
Juan Pablo Agnelli, Fernando S. Moura, Siiri Rautio +4
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined…
CT scans without X-rays: parallel-beam imaging from nonlinear current flows
Melody Alsaker, Siiri Rautio, Fernando Moura +5
Parallel-beam X-ray computed tomography (CT) and electrical impedance tomography (EIT) are two imaging modalities which stem from completely different underlying physics, and for d…
Simultaneous reconstruction of conductivity, boundary shape and contact impedances in electrical impedance tomography
J. P. Agnelli, V. Kolehmainen, M. Lassas +2
The objective of electrical impedance tomography (EIT) is to reconstruct the internal conductivity of a physical body based on current and voltage measurements at the boundary of t…
On the identification of piecewise constant coefficients in optical diffusion tomography by level set
J. P. Agnelli, A. De Cezaro, A. Leitao +1
In this paper, we propose a level set regularization approach combined with a split strategy for the simultaneous identification of piecewise constant diffusion and absorption coef…
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…