This scoping review summarizes two emerging electrical impedance technologies: electrical
impedance myography (EIM) and electrical impedance tomography (EIT). These methods …

In this work we develop a novel algorithm, termed as mixed least-squares deep neural
network (MLS-DNN), to recover an anisotropic conductivity tensor from the internal …

In this paper, we present an alternative discrete total variation type functional for image
reconstruction in electrical impedance tomography. The modified functional deals with …

Objective: To develop a fast image reconstruction method for stroke monitoring with
electrical impedance tomography with image quality comparable to computationally …

Electrical Impedance Tomography (EIT) has emerged as a valuable medical imaging
modality, which visualizes the conductivity distribution of a subject by performing multi …

Research and development on large-area robotic skins has seen considerable progress
recently. Providing high resolution, non-invasive imaging of conductivity changes in …

Partial differential equations (PDEs) play a foundational role in modeling physical
phenomena. This study addresses the challenging task of determining variable coefficients …

Advanced learning techniques have revolutionized the fields of object recognition and
diagnostics, driving significant enhancements in accuracy and efficiency. Our proposed …