Matthew J. Muckley

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 24

Top Topics

Image Reconstruction

Machine Learning

Image Compression

Computed Tomography

Top Venues

IEEE Trans. Medical Imaging

Trans. Mach. Learn. Res.

Publications

Buu Phan, Marton Havasi, Matthew J. Muckley, Karen Ullrich
Understanding and Mitigating Tokenization Bias in Language Models. CoRR (2024)
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
Training-free linear image inverses via flows. Trans. Mach. Learn. Res. 2024 (2024)
Pietro Astolfi, Marlène Careil, Melissa Hall, Oscar Mañas, Matthew J. Muckley, Jakob Verbeek, Adriana Romero-Soriano, Michal Drozdzal
Consistency-diversity-realism Pareto fronts of conditional image generative models. CoRR (2024)
Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek
Residual Quantization with Implicit Neural Codebooks. CoRR (2024)
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
Towards image compression with perfect realism at ultra-low bitrates. ICLR (2024)
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
Training-free Linear Image Inversion via Flows. CoRR (2023)
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
Image Compression with Product Quantized Masked Image Modeling. Trans. Mach. Learn. Res. 2023 (2023)
Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière
Towards image compression with perfect realism at ultra-low bitrates. CoRR (2023)
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. CoRR (2023)
Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. ICML (2023)
Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich
Latent Discretization for Continuous-time Sequence Compression. CoRR (2022)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. MIDL (2022)
Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou
Image Compression with Product Quantized Masked Image Modeling. CoRR (2022)
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. CoRR (2022)
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR (2021)
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI (2021)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. IEEE Trans. Medical Imaging 40 (9) (2021)
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR (2020)
Matthew J. Muckley, Bruno Riemenschneider, Alireza Radmanesh, Sunwoo Kim, Geunu Jeong, Jingyu Ko, Yohan Jun, Hyungseob Shin, Dosik Hwang, Mahmoud Mostapha, Simon Arberet, Dominik Nickel, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. CoRR (2020)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition. CoRR (2019)
Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. MLMIR@MICCAI (2019)
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. CVPR (2019)
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR (2018)
Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
Variational Deep Learning for Low-Dose Computed Tomography. ICASSP (2018)
Matthew J. Muckley, Douglas C. Noll, Jeffrey A. Fessler
Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA). IEEE Trans. Medical Imaging 34 (2) (2015)
Matthew J. Muckley, Jeffrey A. Fessler
Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage. ICIP (2014)