Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

18 November 2021

Papers citing "Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction"

7 / 7 papers shown

Title
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis J. Sonke Jonas Teuwen 73 0 0 27 Nov 2024
MambaRecon: MRI Reconstruction with Structured State Space Models Yilmaz Korkmaz V. Patel Mamba 35 2 0 19 Sep 2024
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction Xiaoyu Qiao Weisheng Li Bin Xiao Yuping Huang Lijian Yang DiffM 44 3 0 05 May 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis J. Sonke Jonas Teuwen 33 2 0 15 Mar 2024
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 34 5 0 20 Jun 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 30 2 0 14 Apr 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction George Yiasemis Clara I. Sánchez J. Sonke Jonas Teuwen 15 17 0 20 Jan 2023