Validation and Generalizability of Self-Supervised Image Reconstruction
Methods for Undersampled MRI

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI

29 January 2022

Meritxell Bach Cuadra

Erick Jorge Canales-Rodríguez

Jean-Philippe Thiran

Papers citing "Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI"

5 / 5 papers shown

Title
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization Yilin Liu Yunkui Pang Jiang-Ping Li Yong Chen P. Yap 29 0 0 15 Dec 2023
To be or not to be stable, that is the question: understanding neural networks for inverse problems David Evangelista J. Nagy E. Morotti E. L. Piccolomini 25 4 0 24 Nov 2022
NESTANets: Stable, accurate and efficient neural networks for analysis-sparse inverse problems Maksym Neyra-Nesterenko Ben Adcock 25 9 0 02 Mar 2022
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results Andreas Lugmayr Martin Danelljan Radu Timofte Namhyuk Ahn Dongwoon Bai ... Tongtong Zhao Yuanbo Zhou Haijie Zhuo Ziyao Zong Xueyi Zou SupR 82 170 0 05 May 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 24 31 0 05 Jan 2020