Pages that link to "Item:Q2063189"
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The following pages link to Learning nonlinear electrical impedance tomography (Q2063189):
Displaying 12 items.
- The use of neural network approximation models to speed up the optimisation process in electrical impedance tomography (Q839172) (← links)
- Framework for electrical impedance tomography forward problem with non-uniform electrodes distribution (Q2019785) (← links)
- Neural networks for classification of strokes in electrical impedance tomography on a 3D head model (Q2167606) (← links)
- Bayesian inversion for electrical-impedance tomography in medical imaging using the nonlinear Poisson-Boltzmann equation (Q2184284) (← links)
- Solving electrical impedance tomography with deep learning (Q2223016) (← links)
- Linear waveform tomography inversion using machine learning algorithms (Q2284092) (← links)
- Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)
- Deep-plug-and-play proximal Gauss-Newton method with applications to nonlinear, ill-posed inverse problems (Q6115633) (← links)
- Enhancing electrical impedance tomography reconstruction using learned half-quadratic splitting networks with Anderson acceleration (Q6182320) (← links)
- Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems (Q6557671) (← links)
- A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography (Q6583089) (← links)
- Oracle-net for nonlinear compressed sensing in electrical impedance tomography reconstruction problems (Q6629228) (← links)
