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Learning the Sampling Pattern for MRI

20 June 2019

Carola-Bibiane Schönlieb

Matthias Joachim Ehrhardt

MedIm

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Papers citing "Learning the Sampling Pattern for MRI"

22 / 22 papers shown

Title
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging H. Aggarwal Sudhanya Chatterjee D. Shanbhag Uday Patil K.V.S. Hari 115 0 0 08 Aug 2024
On Learning the Optimal Regularization Parameter in Inverse Problems Jonathan Chirinos-Rodriguez Ernesto De Vito C. Molinari Lorenzo Rosasco S. Villa 213 3 0 27 Nov 2023
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning Mohammad Salehi Subhadip Mukherjee Lindon Roberts Matthias Joachim Ehrhardt 107 5 0 19 Aug 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 55 16 0 05 Jun 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions Ben Adcock Juan M. Cardenas N. Dexter 70 6 0 01 Jun 2023
On Optimal Regularization Parameters via Bilevel Learning Matthias Joachim Ehrhardt S. Gazzola S. J. Scott 83 4 0 28 May 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction George Yiasemis Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 91 17 0 20 Jan 2023
Analyzing Inexact Hypergradients for Bilevel Learning Matthias Joachim Ehrhardt Lindon Roberts 61 8 0 11 Jan 2023
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Dinggang Shen Terrence Chen Shanhui Sun 54 6 0 22 Oct 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI Jingfen Xie Jian Zhang Yongbing Zhang Xiangyang Ji 76 30 0 24 Apr 2022
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks Wei Peng Li Feng Guoying Zhao Fan Liu OOD 52 19 0 05 Apr 2022
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI Zhishen Huang S. Ravishankar MedIm 78 10 0 17 Nov 2021
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications M. Zibetti Florian Knoll R. Regatte 58 18 0 27 Oct 2021
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging R. ChaithyaG. P. Weiss Guillaume Daval-Frérot Aurélien Massire A. Vignaud P. Ciuciu 29 8 0 06 Aug 2021
Active Sampling for Accelerated MRI with Low-Rank Tensors Zichang He Bo Zhao Zheng Zhang MedIm 54 5 0 23 Dec 2020
Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free Optimization Matthias Joachim Ehrhardt Lindon Roberts 28 1 0 06 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 59 59 0 30 Oct 2020
Off-the-grid data-driven optimization of sampling schemes in MRI Alban Gossard F. Gournay P. Weiss 18 1 0 05 Oct 2020
Inexact Derivative-Free Optimization for Bilevel Learning Matthias Joachim Ehrhardt Lindon Roberts 75 22 0 23 Jun 2020
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction H. Aggarwal M. Jacob 39 5 0 06 Nov 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Alan Q. Wang Adrian Dalca M. Sabuncu 51 9 0 26 Jul 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI Thomas Sanchez Baran Gözcü R. Heeswijk Armin Eftekhari E. Ilıcak Tolga Çukur Volkan Cevher 63 30 0 01 Feb 2019