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Nr.	Titel	Autor	Jahr
1	Advanced Meshing and Rotating Radial Current Injection Pattern for Enhanced 3D Lung Electrical Impedance Tomography	Bader, Oumaima	2026
2	Enhancing Electrical Impedance Tomography Image Reconstruction Using Prior Knowledge and Grid-Optimized Parameters: Experimental Validation on Water Tank Data	Bouchhima, Mejda et al.	2025
3	Evaluation of Adjacent and Opposite Current Injection Patterns for 3D Image Reconstruction of the Human Lung Based on a Realistic Model	Bouchhima, Mejda et al.	2025
4	Feasibility Study for Fatigue Detection by Electrical Impedance Tomography	Ghoul, Bilel* et al.	2025
5	Rotating radial injection pattern for highly sensitive electrical impedance tomography of human lung anomalies	Bader, Oumaima et al.	2025
6	3D Geometry Design of the Human Thorax and Forward Calculation for Electrical Impedance Tomography	Alwaz, Youssef et al.	2023
7	Electrical Impedance Tomography Image Reconstruction with apriori Knowledge for Gesture Recognition	Alasasfeh, Hayat et al.	2022
8	Post-processing for Thorax Imaging based on Electrical Impedance Tomography using Deep Learning	Haddad, Hamdi et al.	2022
9	Realistic 2D Model of the Human Thorax for Electrical Impedance Tomography	Bader, Oumaima et al.	2022
10	Remote platform for lung monitoring based on Electrical Impedance Tomography measurements	Hafsa, Mariem et al.	2022
11	3D Image Reconstruction based on Electrical Impedance Tomography Measurements using a Gauss-Newton Algorithm	Hafsa, Mariem et al.	2021
12	Forward Modelling and Image Reconstruction with Post-processing for Human Thorax Imaging based on Electrical Impedance Tomography Measurements	Haddad, Hamdi et al.	2021
13	Identification of Communication Cables Based on S-Parameters and K-Nearest Neighbors Algorithm	Bader, Oumaima* et al.	2021
14	Identification of Communication Cables Based on Scattering Parameters and a Support Vector Machine Algorithm	Bader, Oumaima et al.	2021
15	Two-Dimensional Forward Modeling for Human Thorax Imaging Based on Electrical Impedance Tomography	Bader, Oumaima et al.	2021

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