Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior

4 June 2018

Papers citing "Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior"

7 / 7 papers shown

Title
Deep Internal Learning: Deep Learning from a Single Input Tom Tirer Raja Giryes Se Young Chun Yonina C. Eldar 36 3 0 12 Dec 2023
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 25 60 0 25 Nov 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 44 8 0 25 Oct 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 22 50 0 29 Aug 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 16 13 0 11 Jun 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 521 0 12 May 2020
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 26 103 0 26 May 2018