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Muckley, Matthew J.
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1

Accelerated MRI reconstructions via variational network and..:

Giannakopoulos, Ilias I. ; Muckley, Matthew J. ; Kim, Jesi...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Residual Quantization with Implicit Neural Codebooks:

Huijben, Iris ; Douze, Matthijs ; Muckley, Matthew..
http://arxiv.org/abs/2401.14732.  , 2024
Link: http://arxiv.org/abs/240..
 
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3

By how much can closed-loop frameworks accelerate computati..:

Kavalsky, Lance ; Hegde, Vinay I. ; Muckley, Eric...
Digital Discovery.  2 (2023)  4 - p. 1112-1125 , 2023
Link: https://doi.org/10.1039/..
 
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4

Training-free Linear Image Inversion via Flows:

Pokle, Ashwini ; Muckley, Matthew J ; Chen, Ricky T. Q.
http://arxiv.org/abs/2310.04432.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

Towards image compression with perfect realism at ultra-low..:

Careil, Marlène ; Muckley, Matthew J ; Verbeek, Jakob.
http://arxiv.org/abs/2310.10325.  , 2023
Link: http://arxiv.org/abs/231..
 
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6

Improving Statistical Fidelity for Neural Image Compression..:

Muckley, Matthew J ; El-Nouby, Alaaeldin ; Ullrich, Karen..
http://arxiv.org/abs/2301.11189.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

AutoMat: Automated materials discovery for electrochemical ..:

Annevelink, Emil ; Kurchin, Rachel ; Muckley, Eric...
https://doi.org/10.1557/s43577-022-00424-0.  , 2023
Link: https://hdl.handle.net/1..
 
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8

AutoMat: Automated materials discovery for electrochemical ..:

Annevelink, Emil ; Kurchin, Rachel ; Muckley, Eric...
MRS Bulletin.  47 (2022)  10 - p. 1036-1044 , 2022
Link: https://doi.org/10.1557/..
 
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9

Exploring the Acceleration Limits of Deep Learning Variatio..:

Radmanesh, Alireza ; Muckley, Matthew J ; Murrell, Tullie...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745443/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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10

Image Compression with Product Quantized Masked Image Model..:

El-Nouby, Alaaeldin ; Muckley, Matthew J ; Ullrich, Karen...
http://arxiv.org/abs/2212.07372.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

On learning adaptive acquisition policies for undersampled ..:

Bakker, Tim ; Muckley, Matthew ; Romero-Soriano, Adriana..
http://arxiv.org/abs/2203.16392.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

By how much can closed-loop frameworks accelerate computati..:

Kavalsky, Lance ; Hegde, Vinay I ; Muckley, Eric...
http://arxiv.org/abs/2211.10533.  , 2022
Link: http://arxiv.org/abs/221..
 
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13

Latent Discretization for Continuous-time Sequence Compress..:

Chen, Ricky T. Q ; Le, Matthew ; Muckley, Matthew..
http://arxiv.org/abs/2212.13659.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

Results of the 2020 fastMRI Challenge for Machine Learning ..:

Muckley, Matthew J. ; Riemenschneider, Bruno ; Radmanesh, Alireza...
IEEE Transactions on Medical Imaging.  40 (2021)  9 - p. 2306-2317 , 2021
Link: https://doi.org/10.1109/..
 
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15

Evaluation of the Robustness of Learned MR Image Reconstruc..:

, In: Machine Learning for Medical Image Reconstruction; Lecture Notes in Computer Science,
Johnson, Patricia M. ; Jeong, Geunu ; Hammernik, Kerstin... - p. 25-34 , 2021
Link: https://doi.org/10.1007/..
 
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