Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI

22 April 2020

Papers citing "Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI"

7 / 7 papers shown

Title
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI Jingfen Xie Jian Zhang Yongbing Zhang Xiangyang Ji 76 31 0 24 Apr 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction Timothy C. Bakker Matthew Muckley Adriana Romero Soriano M. Drozdzal Luis Villaseñor-Pineda 76 18 0 30 Mar 2022
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery Jonathan Sauder Martin Genzel P. Jung 69 1 0 07 Feb 2022
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI Zhishen Huang S. Ravishankar MedIm 80 10 0 17 Nov 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 113 99 0 04 Oct 2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities L. Gonzalez-Carabarin Iris A. M. Huijben Bastian Veeling A. Schmid Ruud J. G. van Sloun 57 11 0 26 May 2021
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 61 59 0 30 Oct 2020