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Matthew J Muckley

Showing results (1-10 of 10) with videos related to

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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 learningIlias 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 MRIAlireza 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 scannersMatthew J Muckley, Baiyu Chen, Thomas Vahle, et al.
Medical Physics|April 14, 2019
SparseCT: System concept and design of multislit collimatorsBaiyu 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 MRIMatthew 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 challengeFlorian 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 boneMeagan 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 ReconstructionMatthew 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 LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 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 learningIlias 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 MRIAlireza 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 scannersMatthew J Muckley, Baiyu Chen, Thomas Vahle, et al.
Medical Physics|April 14, 2019
SparseCT: System concept and design of multislit collimatorsBaiyu 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 MRIMatthew 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 challengeFlorian 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 boneMeagan 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 ReconstructionMatthew 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 LearningFlorian Knoll, Jure Zbontar, Anuroop Sriram, et al.
Pageof 1