53 datasets found

We investigate the problem of training neural networks from incomplete images without replacing missing values.

A learning-based lensless imaging approach through optically thick scattering media.

A GAN network for reconstructing dynamic scattering images.

A CNN network for reconstructing speckle images generated by untrained ground glass.

A deep learning approach to image reconstruction through scattering media.

A double loop iterative algorithm for restoring two targets whose total size is beyond the memory effect.

A convolutional neural network called PDSNet for the reconstruction of scattered images.

Magnetic Resonance Fingerprinting (MRF) dataset for tissue parameter estimation

A dataset of two images used for experimental results.

A simulation dataset composed of 110 images, and two experimental images, used to test the reconstruction algorithm using different sampling ratios, orderings and noise levels.

Dataset for learning LED source patterns for Fourier Ptychographic Microscopy

This study proposes CSI2Image, a novel channel-state-information (CSI)-to-image conversion method based on generative adversarial networks (GANs).

The dataset used in this paper for optimization methods for MR image reconstruction

The dataset used in this paper for phase retrieval and optical diffraction tomography.

The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements.

Real preclinical data from a mouse injected with GNP

Simulated clinical images

Fourth-order nonlocal tensor decomposition model for spectral CT image reconstruction

The dataset used in this paper is 3D T1-weighted brain MRI scans from the multi-site ABIDE-1 study.

LoDoPaB-CT