Pages that link to "Item:Q4990712"
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The following pages link to Deep learning for photoacoustic tomography from sparse data (Q4990712):
Displaying 17 items.
- Big in Japan: regularizing networks for solving inverse problems (Q1988359) (← links)
- Networks for nonlinear diffusion problems in imaging (Q1988365) (← links)
- Deep learning architectures for nonlinear operator functions and nonlinear inverse problems (Q2113263) (← links)
- On the randomised stability constant for inverse problems (Q2128524) (← links)
- LU-Net: combining LSTM and U-Net for sinogram synthesis in sparse-view SPECT reconstruction (Q2130501) (← links)
- Data-consistent neural networks for solving nonlinear inverse problems (Q2697358) (← links)
- NETT: solving inverse problems with deep neural networks (Q5113628) (← links)
- A Data-Driven Iteratively Regularized Landweber Iteration (Q5119504) (← links)
- Numerical solution of inverse problems by weak adversarial networks (Q5132263) (← links)
- On Learned Operator Correction in Inverse Problems (Q5860277) (← links)
- Compressed Sensing Photoacoustic Tomography Reduces to Compressed Sensing for Undersampled Fourier Measurements (Q5860352) (← links)
- Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method (Q5886392) (← links)
- Sampling type method combined with deep learning for inverse scattering with one incident wave (Q5890154) (← links)
- Learn an index operator by CNN for solving diffusive optical tomography: a deep direct sampling method (Q6101530) (← links)
- Utilizing Variational Autoencoders in the Bayesian Inverse Problem of Photoacoustic Tomography (Q6173514) (← links)
- On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector (Q6173544) (← links)
- Normalizing flow regularization for photoacoustic tomography (Q6641747) (← links)
