SelfCoLearn: Self-supervised collaborative learning for accelerating
dynamic MR imaging

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging

8 August 2022

Cheng Li

Papers citing "SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging"

6 / 6 papers shown

Title
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning Denis Prokopenko Kerstin Hammernik T. Roberts D. Lloyd Daniel Rueckert Joseph V. Hajnal 11 1 0 15 Aug 2023
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 25 5 0 05 Aug 2023
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction Jie Feng Rui-jun Feng Qing Wu Zhiyong Zhang Yuyao Zhang Hongjiang Wei 15 22 0 31 Dec 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 16 3 0 21 Sep 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 32 32 0 20 May 2022
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework Chenwenbao Hu Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang OOD 110 45 0 26 Sep 2021