13 citations · 37 across the 8 of their papers we have counts for
4 papers · 1 filter
Accelerated Motion Correction with Deep Generative Diffusion Models
Brett Levac, Sidharth Kumar, Ajil Jalal +1
Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality, but unfortunately suffers from long scan times which, aside from increasing operational costs, can lead to…
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…
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
Ali Lotfi Rezaabad, Sidharth Kumar, Sriram Vishwanath +1
Contrastive self-supervised learning methods learn to map data points such as images into non-parametric representation space without requiring labels. While highly successful, cur…
An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data
Kalina P. Slavkova, Julie C. DiCarlo, Viraj Wadhwa +5
The purpose of this work is to implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerat…