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"

8 / 8 papers shown

Title
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis Jan-Jakob Sonke Jonas Teuwen 81 0 0 27 Nov 2024
MambaRecon: MRI Reconstruction with Structured State Space Models Yilmaz Korkmaz V. Patel Mamba 48 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 49 3 0 05 May 2024
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging D. Karkalousos Ivana Išgum Henk A. Marquering M. Caan 43 0 0 30 Apr 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis Jan-Jakob Sonke Jonas Teuwen 35 2 0 15 Mar 2024
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 39 5 0 20 Jun 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 32 2 0 14 Apr 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction George Yiasemis Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 21 17 0 20 Jan 2023