Web: http://arxiv.org/abs/2201.09376

Jan. 31, 2022, 2:10 a.m. | Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel

cs.CV updates on arXiv.org arxiv.org

Accelerating magnetic resonance image (MRI) reconstruction process is a
challenging ill-posed inverse problem due to the excessive under-sampling
operation in k-space. In this paper, we propose a recurrent transformer model,
namely ReconFormer, for MRI reconstruction which can iteratively reconstruct
high fertility magnetic resonance images from highly under-sampled k-space
data. In particular, the proposed architecture is built upon Recurrent Pyramid
Transformer Layers (RPTL), which jointly exploits intrinsic multi-scale
information at every architecture unit as well as the dependencies of the deep …

arxiv transformer

More from arxiv.org / cs.CV updates on arXiv.org

Data Architect – Public Sector Health Data Architect, WWPS

@ Amazon.com | US, VA, Virtual Location - Virginia

[Job 8224] Data Engineer - Developer Senior

@ CI&T | Brazil

Software Engineer, Machine Learning, Planner/Behavior Prediction

@ Nuro, Inc. | Mountain View, California (HQ)

Lead Data Scientist

@ Inspectorio | Ho Chi Minh City, Ho Chi Minh City, Vietnam - Remote

Data Engineer

@ Craftable | Portugal - Remote

Sr. Data Scientist, Ads Marketplace Analytics

@ Reddit | Remote - United States