Deformation-Compensated Learning for Image Reconstruction without Ground
Truth

Deformation-Compensated Learning for Image Reconstruction without Ground Truth

12 July 2021

Ulugbek S. Kamilov

Papers citing "Deformation-Compensated Learning for Image Reconstruction without Ground Truth"

9 / 9 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
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance Andrew Wang Mike Davies MedIm 32 2 0 11 Oct 2024
Investigating Self-Supervised Image Denoising with Denaturation Hiroki Waida Kimihiro Yamazaki Atsushi Tokuhisa Mutsuyo Wada Yuichiro Wada 32 1 0 02 May 2024
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning Chicago Y. Park Weijie Gan Zihao Zou Yuyang Hu Zhixin Sun Ulugbek S. Kamilov 22 0 0 03 Nov 2023
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review Veronika Spieker H. Eichhorn Kerstin Hammernik Daniel Rueckert C. Preibisch D. Karampinos J. Schnabel MedIm 25 32 0 11 May 2023
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen Hongyu An Ulugbek S. Kamilov 40 4 0 07 Oct 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 40 33 0 20 May 2022
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 21 67 0 15 Feb 2021
Model-blind Video Denoising Via Frame-to-frame Training T. Ehret Axel Davy Jean-Michel Morel Gabriele Facciolo Pablo Arias 56 82 0 30 Nov 2018