output
20152023
most citedAdvancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

267 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

4 papers · 1 filter

eess.IV2023★ 37 cited

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction

Jie Feng, Ruimin Feng, Qing Wu +3

Supervised Deep-Learning (DL)-based reconstruction algorithms have shown state-of-the-art results for highly-undersampled dynamic Magnetic Resonance Imaging (MRI) reconstruction. H…

eess.IV2020★ 267 cited

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Florian Knoll, Tullie Murrell, Anuroop Sriram +8

Purpose: To advance research in the field of machine learning for MR image reconstruction with an open challenge. Methods: We provided participants with a dataset of raw k-space da…

eess.IV2019★ 92 cited

Magnetization Transfer in Magnetic Resonance Fingerprinting

Tom Hilbert, Ding Xia, Kai Tobias Block +5

Purpose: To study the effects of magnetization transfer (MT, in which a semisolid spin pool interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF)…

eess.IV2019★ 50 cited

Training a Neural Network for Gibbs and Noise Removal in Diffusion MRI

Matthew J. Muckley, Benjamin Ades-Aron, Antonios Papaioannou +7

We develop and evaluate a neural network-based method for Gibbs artifact and noise removal. A convolutional neural network (CNN) was designed for artifact removal in diffusion-weig…