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IEEE Transactions on Medical Imaging
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October 21, 2014
Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA)
Matthew J Muckley, Douglas C Noll, Jeffrey A Fessler
Scientific Reports
|
May 14, 2024
Accelerated MRI reconstructions via variational network and feature domain learning
Ilias I Giannakopoulos, Matthew J Muckley, Jesi Kim, et al.
Radiology. Artificial Intelligence
|
December 16, 2022
Exploring the Acceleration Limits of Deep Learning Variational Network-based Two-dimensional Brain MRI
Alireza Radmanesh, Matthew J Muckley, Tullie Murrell, et al.
Physics in Medicine and Biology
|
July 2, 2019
Image reconstruction for interrupted-beam x-ray CT on diagnostic clinical scanners
Matthew J Muckley, Baiyu Chen, Thomas Vahle, et al.
Medical Physics
|
April 14, 2019
SparseCT: System concept and design of multislit collimators
Baiyu Chen, Erich Kobler, Matthew J Muckley, et al.
Magnetic Resonance in Medicine
|
July 15, 2020
Training a neural network for Gibbs and noise removal in diffusion MRI
Matthew J Muckley, Benjamin Ades-Aron, Antonios Papaioannou, et al.
Magnetic Resonance in Medicine
|
June 8, 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram, et al.
Bone Reports
|
June 6, 2017
Estrogen depletion and drug treatment alter the microstructure of type I collagen in bone
Meagan A Cauble, Matthew J Muckley, Ming Fang, et al.
IEEE Transactions on Medical Imaging
|
April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
Matthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Radiology. Artificial Intelligence
|
February 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, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Medical Imaging
|
October 21, 2014
Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA)
Matthew J Muckley, Douglas C Noll, Jeffrey A Fessler
Scientific Reports
|
May 14, 2024
Accelerated MRI reconstructions via variational network and feature domain learning
Ilias I Giannakopoulos, Matthew J Muckley, Jesi Kim, et al.
Radiology. Artificial Intelligence
|
December 16, 2022
Exploring the Acceleration Limits of Deep Learning Variational Network-based Two-dimensional Brain MRI
Alireza Radmanesh, Matthew J Muckley, Tullie Murrell, et al.
Physics in Medicine and Biology
|
July 2, 2019
Image reconstruction for interrupted-beam x-ray CT on diagnostic clinical scanners
Matthew J Muckley, Baiyu Chen, Thomas Vahle, et al.
Medical Physics
|
April 14, 2019
SparseCT: System concept and design of multislit collimators
Baiyu Chen, Erich Kobler, Matthew J Muckley, et al.
Magnetic Resonance in Medicine
|
July 15, 2020
Training a neural network for Gibbs and noise removal in diffusion MRI
Matthew J Muckley, Benjamin Ades-Aron, Antonios Papaioannou, et al.
Magnetic Resonance in Medicine
|
June 8, 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram, et al.
Bone Reports
|
June 6, 2017
Estrogen depletion and drug treatment alter the microstructure of type I collagen in bone
Meagan A Cauble, Matthew J Muckley, Ming Fang, et al.
IEEE Transactions on Medical Imaging
|
April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
Matthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Radiology. Artificial Intelligence
|
February 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, et al.
Page
of 1