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Matthew Muckley
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fastMRI: An open dataset and benchmarks for accelerated MRI
J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ...
arXiv preprint arXiv:1811.08839, 2018
8212018
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology. Artificial Intelligence 2 (1), e190007, 2020
3342020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ...
IEEE Transactions on Medical Imaging 40 (9), 2306-2317, 2021
262*2021
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ...
Magnetic Resonance in Medicine 84 (6), 3054-3070, 2020
1992020
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Z Zhang, A Romero, MJ Muckley, P Vincent, L Yang, M Drozdzal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1322019
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study
MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ...
American Journal of Roentgenology 215 (6), 1421-1429, 2020
1312020
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
A Sriram, M Muckley, K Sinha, F Shamout, J Pineau, KJ Geras, L Azour, ...
arXiv preprint arXiv:2101.04909, 2021
80*2021
TorchKbNufft: A High‐Level, Hardware‐Agnostic Non‐Uniform Fast Fourier Transform
MJ Muckley, R Stern, T Murrell, F Knoll
ISMRM Workshop on Data Sampling & Image Reconstruction, 2020
572020
Training a Neural Network for Gibbs and Noise Removal in Diffusion MRI
MJ Muckley, B Ades-Aron, A Papaioannou, G Lemberskiy, E Solomon, ...
Magnetic Resonance in Medicine 85 (1), 413-428, 2021
492021
Deep learning reconstruction enables prospectively accelerated clinical knee MRI
PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram, M Muckley, JS Babb, ...
Radiology 307 (2), e220425, 2023
402023
Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA)
MJ Muckley, DC Noll, JA Fessler
IEEE Transactions on Medical Imaging 34 (2), 578-588, 2015
382015
Image Compression with Product Quantized Masked Image Modeling
A El-Nouby, MJ Muckley, K Ullrich, I Laptev, J Verbeek, H Jégou
Transactions on Machine Learning Research, 2023
252023
Spectroscopic visualization of nanoscale deformation in bone: interaction of light with partially disordered nanostructure
Z Xu, X Sun, J Liu, Q Song, MJ Muckley, O Akkus, YL Kim
Journal of Biomedical Optics 15 (6), 060503, 2010
232010
Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI
A Radmanesh, MJ Muckley, T Murrell, E Lindsey, A Sriram, F Knoll, ...
Radiology: Artificial Intelligence 4 (6), e210313, 2022
172022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
T Bakker, M Muckley, A Romero-Soriano, M Drozdzal, L Pineda
International Conference on Medical Imaging with Deep Learning, 63-85, 2022
162022
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
MJ Muckley, A El-Nouby, K Ullrich, H Jégou, J Verbeek
International Conference on Machine Learning, 25426-25443, 2023
15*2023
Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge
PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ...
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
142021
The morphological, material-level, and ash properties of turkey femurs from 3 different genetic strains during production
Z Zhong, MJ Muckley, S Agcaoglu, ME Grisham, H Zhao, M Orth, ...
Poultry Science 91 (11), 2736-2746, 2012
132012
Variational Deep Learning for Low-Dose Computed Tomography
E Kobler, M Muckley, B Chen, F Knoll, K Hammernik, T Pock, D Sodickson, ...
Proceedings of the IEEE International Conference on Acoustics, Speech and …, 2018
122018
Towards image compression with perfect realism at ultra-low bitrates
M Careil, MJ Muckley, J Verbeek, S Lathuilière
The Twelfth International Conference on Learning Representations, 2023
112023
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