Low-field magnetic resonance imaging using multiplicative regularization

Learning a preconditioner to accelerate compressed sensing reconstructions in MRI

Inversion of incomplete spectral data using support information with an application to magnetic resonance imaging

A survey on deep learning in medical image reconstruction

A Dictionary Learning Approach for Noise-Robust Image Reconstruction in Low-Field Magnetic Resonance Imaging

Shadow-free motorized capsule enables accurate beam positioning and sectorized OCT imaging of the esophagus

Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging

Ultrasound transmission tomography image reconstruction with a fully convolutional neural network

An adaptive intelligence algorithm for undersampled knee MRI reconstruction

MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine

Using passive and active acoustic methods for impact damage assessment of composite structures

Verbeterde beeldreconstructie bij CT-scanners

3-D Linear Reconstruction of the Experimental Fresnel Data by the GMMV Inversion Method

Position correction in ptychography using hybrid input-output (HIO) and cross-correlation

Conjugate gradient variants for ℓ _p -regularized image reconstruction in low-field MRI

Parameter Selection for Regularized Electron Tomography Without a Reference Image

Minimizing bandwidth utilization for streaming noisy Monte-Carlo renders: For the 2018 individual research pilot

Structural health monitoring of impact damage for composite aircraft structures: Investigating the damage severity estimation of an image reconstruction technique using PZT sensors

Online Computational Imaging Reconstruction

3D Reconstruction of Niniveh: A casestudy on the Bas-reliefs of the Southwest Palace of Sennacherib with monocular images