Unsupervised Learning with Stein's Unbiased Risk Estimator

Unsupervised Learning with Stein's Unbiased Risk Estimator

26 May 2018

Christopher A. Metzler

Reinhard Heckel

Richard G. Baraniuk

Papers citing "Unsupervised Learning with Stein's Unbiased Risk Estimator"

16 / 16 papers shown

Title
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction Andrew Wang Steven McDonagh Mike Davies OOD SSL 114 0 0 19 Feb 2025
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation Hongwei Tan Ziruo Cai Marcelo Pereyra Subhadip Mukherjee Junqi Tang Carola-Bibiane Schönlieb SSL 67 1 0 08 Apr 2024
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 26 3 0 12 Dec 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise Benjamin Salmon Alexander Krull 53 1 0 11 Oct 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
DDM $^2$ : Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models Tiange Xiang Mahmut Yurt Ali B. Syed K. Setsompop Akshay S. Chaudhari MedIm DiffM 22 53 0 06 Feb 2023
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 20 23 0 23 Mar 2022
Early Stopping for Deep Image Prior Hengkang Wang Taihui Li Zhong Zhuang Tiancong Chen Hengyue Liang Ju Sun 18 62 0 11 Dec 2021
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 17 59 0 25 Nov 2021
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise Jaeseok Byun Sungmin Cha Taesup Moon 28 42 0 23 May 2021
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate Ruangrawee Kitichotkul Christopher A. Metzler Frank Ong Gordon Wetzstein UQCV 33 8 0 25 Oct 2020
Improving Blind Spot Denoising for Microscopy A. Goncharova A. Honigmann Florian Jug Alexander Krull 20 26 0 19 Aug 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 11 518 0 12 May 2020
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising Alexander Krull Tomáš Vičar Florian Jug DiffM 17 165 0 03 Jun 2019
DeepRED: Deep Image Prior Powered by RED G. Mataev Michael Elad P. Milanfar SupR 23 191 0 25 Mar 2019
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods Raja Giryes Michael Elad Yonina C. Eldar 87 129 0 21 Mar 2010