JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction

27 November 2023

Papers citing "JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction"

6 / 6 papers shown

Title
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI George Yiasemis J. Sonke Jonas Teuwen 68 0 0 27 Nov 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI George Yiasemis J. Sonke Jonas Teuwen 26 2 0 15 Mar 2024
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 31 36 0 02 Sep 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 107 45 0 26 Sep 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 39 41 0 17 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015