Pages that link to "Item:Q2223016"
From MaRDI portal
The following pages link to Solving electrical impedance tomography with deep learning (Q2223016):
Displaying 31 items.
- The use of neural network approximation models to speed up the optimisation process in electrical impedance tomography (Q839172) (← links)
- Non-cooperative finite element games (Q2034441) (← links)
- Learning nonlinear electrical impedance tomography (Q2063189) (← links)
- Solving optical tomography with deep learning (Q2084728) (← links)
- Solving inverse problems using conditional invertible neural networks (Q2120777) (← links)
- Meta-learning pseudo-differential operators with deep neural networks (Q2123371) (← links)
- Neural networks for classification of strokes in electrical impedance tomography on a 3D head model (Q2167606) (← links)
- A deep learning-based hybrid approach for the solution of multiphysics problems in electrosurgery (Q2179220) (← links)
- An overview on deep learning-based approximation methods for partial differential equations (Q2697278) (← links)
- Linearized inverse Schrödinger potential problem with partial data and its deep neural network inversion (Q2697347) (← links)
- Solving traveltime tomography with deep learning (Q2699488) (← links)
- The Random Feature Model for Input-Output Maps between Banach Spaces (Q3382802) (← links)
- Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)
- Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning (Q5019943) (← links)
- On reconstruction of binary images by efficient sample-based parameterization in applications for electrical impedance tomography (Q5044134) (← links)
- Machine learning enhanced electrical impedance tomography for 2D materials (Q5089407) (← links)
- Application of a class of iterative algorithms and their accelerations to Jacobian-based linearized EIT image reconstruction (Q5152266) (← links)
- Multilevel Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data (Q5857926) (← links)
- Strong Solutions for PDE-Based Tomography by Unsupervised Learning (Q5860278) (← links)
- Combining gradient optimization and machine learning methods for inverse problems in layered heterogeneous media (Q6040377) (← links)
- Electrical impedance tomography with deep Calderón method (Q6048408) (← links)
- Convergence Rates for Learning Linear Operators from Noisy Data (Q6109175) (← links)
- A high order discontinuous Galerkin method for the recovery of the conductivity in electrical impedance tomography (Q6175242) (← links)
- Solving inverse problems with deep learning (Q6200208) (← links)
- On mathematical modeling in image reconstruction and beyond (Q6200218) (← links)
- A two-step accelerated Landweber-type iteration regularization algorithm for sparse reconstruction of electrical impedance tomography (Q6551474) (← links)
- Optimal transportation for electrical impedance tomography (Q6562842) (← links)
- The Calderón's problem via DeepONets (Q6570540) (← links)
- Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
- An analysis of discontinuous Galerkin method for electrical impedance tomography with partial data (Q6664876) (← links)
- A comparison of techniques to improve pulmonary EIT image resolution using a database of simulated EIT images (Q6664926) (← links)
