Matthew J. Muckley

Orcid: 0000-0002-6525-8817

According to our database1, Matthew J. Muckley authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Consistency-diversity-realism Pareto fronts of conditional image generative models.
CoRR, 2024

Residual Quantization with Implicit Neural Codebooks.
CoRR, 2024

2023
Image Compression with Product Quantized Masked Image Modeling.
Trans. Mach. Learn. Res., 2023

Towards image compression with perfect realism at ultra-low bitrates.
CoRR, 2023

Training-free Linear Image Inversion via Flows.
CoRR, 2023

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.
Proceedings of the International Conference on Machine Learning, 2023

2022
Latent Discretization for Continuous-time Sequence Compression.
CoRR, 2022

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR, 2021


2020
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR, 2020

2019
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR, 2018

Variational Deep Learning for Low-Dose Computed Tomography.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015
Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA).
IEEE Trans. Medical Imaging, 2015

2014
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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