A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise

20 May 2022

Papers citing "A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise"

10 / 10 papers shown

Title
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise Nadja Gruber Johannes Schwab Markus Haltmeier Ander Biguri Clemens Dlaska Gyeongha Hwang 35 0 0 25 Mar 2025
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction Andrew Wang Steven McDonagh Mike Davies OOD SSL 109 0 0 19 Feb 2025
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI Tobit Klug Kun Wang Stefan Ruschke Reinhard Heckel MedIm 40 1 0 14 Sep 2024
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali Giannis Daras Brett Levac Sidharth Kumar Alexandros G. Dimakis Jonathan I. Tamir MedIm 56 9 0 13 Mar 2024
JSSL: Joint Supervised and Self-supervised Learning for MRI Reconstruction George Yiasemis N. Moriakov Clara I. Sánchez J. Sonke Jonas Teuwen 10 2 0 27 Nov 2023
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography Simon Wiedemann Reinhard Heckel 17 7 0 09 Nov 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 19 4 0 05 Aug 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 37 64 0 30 May 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods Tobit Klug Dogukan Atik Reinhard Heckel 29 7 0 30 May 2023
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 87 45 0 26 Sep 2021