Implicit solutions of the electrical impedance tomography inverse problem in the continuous domain with deep neural networks

HIGHLIGHTS

• who: Thilos Struass and Taufiquar Khan from the Research Department at ETAS GmbH, Robert Bosch GmbH, Stuttgart, Germany Department of Mathematics and Statistics, University of North Carolina at Charlotte have published the research work: Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks, in the Journal: Entropy 2023, 25, 493. of 21/Dec/2022
• what: The authors propose a novel and simple jet intriguing neural network architecture capable of solving the EIT inverse problem. The authors propose a piece-wise constant reconstruction method that is novel in . . .
  

   

  

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