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Matthew Muckley

6PUBLICATIONS

20CO-AUTHORS

Image processingDeep learningNeural engineeringContext learningMicroelectromechanical systems (MEMS)

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Publications (6)

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|Jan 17, 2023

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.

Patricia M Johnson, Dana J Lin, Jure Zbontar

|Dec 16, 2022

Exploring the Acceleration Limits of Deep Learning Variational Network-based Two-dimensional Brain MRI.

Alireza Radmanesh, Matthew J Muckley, Tullie Murrell

|Jul 15, 2020

Training a neural network for Gibbs and noise removal in diffusion MRI.

Matthew J Muckley, Benjamin Ades-Aron, Antonios Papaioannou

|Jun 08, 2020

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

Florian Knoll, Tullie Murrell, Anuroop Sriram

|Feb 21, 2020

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Florian Knoll, Jure Zbontar, Anuroop Sriram

|Mar 12, 2019

Pancreas deformation in the presence of tumors using feature tracking from free-breathing XD-GRASP MRI.

Teodora Chitiboi, Matthew Muckley, Bari Dane

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Frequent Collaborators

5 joint publications

Florian Knoll

3 joint publications

Anuroop Sriram

3 joint publications

Daniel K Sodickson

2 joint publications

Yvonne W Lui

1 joint publications

Mary Bruno

1 joint publications

Marc Parente

1 joint publications

Michael Rabbat

1 joint publications

Dmitry S Novikov

1 joint publications

Tullie Murrell

1 joint publications

Emma Lindsey

Frequent Collaborators

5 joint publications

Florian Knoll

3 joint publications

Anuroop Sriram

3 joint publications

Daniel K Sodickson

2 joint publications

Yvonne W Lui

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