2 citations · 3 across the 4 of their papers we have counts for
4 papers
DeepInverse: A Python package for solving imaging inverse problems with deep learning
Julián Tachella, Matthieu Terris, Samuel Hurault +24
DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems. The library covers all crucial steps in image reconstruction from the efficient implementa…
Double Blind Imaging with Generative Modeling
Brett Levac, Ajil Jalal, Kannan Ramchandran +1
Blind inverse problems in imaging arise from uncertainties in the system used to collect (noisy) measurements of images. Recovering clean images from these measurements typically r…
MRI Reconstruction with Side Information using Diffusion Models
Brett Levac, Ajil Jalal, Kannan Ramchandran +1
Magnetic resonance imaging (MRI) exam protocols consist of multiple contrast-weighted images of the same anatomy to emphasize different tissue properties. Due to the long acquisiti…
FSE Compensated Motion Correction for MRI Using Data Driven Methods
Brett Levac, Sidharth Kumar, Sofia Kardonik +1
Magnetic Resonance Imaging (MRI) is a widely used medical imaging modality boasting great soft tissue contrast without ionizing radiation, but unfortunately suffers from long acqui…