Matthew J. Muckley

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Florian KnollFriedrich-Alexander University Erlangen NurembergDirección de correo verificada de fau.de
Daniel SodicksonChief of Innovation, Department of Radiology, New York University Grossman School of MedicineDirección de correo verificada de med.nyu.edu
Anuroop SriramMeta FAIRDirección de correo verificada de alumni.cmu.edu
Tullie MurrellFacebook AI ResearchDirección de correo verificada de fb.com
C. Lawrence ZitnickFAIR (Meta)Dirección de correo verificada de fb.com
Jure ZbontarOpenAIDirección de correo verificada de openai.com
Krzysztof J. GerasNew York UniversityDirección de correo verificada de nyu.edu
Michał DrożdżalFundamental AI Research at MetaDirección de correo verificada de fb.com
Aaron DefazioFundamental AI Research team, Meta NYDirección de correo verificada de anu.edu.au
Michael RabbatResearch Scientist at FacebookDirección de correo verificada de fb.com
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARDirección de correo verificada de iro.umontreal.ca
Ricardo OtazoVice-Chair for Research, Department of Medical Physics, Memorial Sloan Kettering Cancer CenterDirección de correo verificada de mskcc.org
Adriana Romero-SorianoFundamental AI Research, Meta AIDirección de correo verificada de fb.com
Zizhao ZhangGoogleDirección de correo verificada de google.com
Yohan JunMassachusetts General Hospital, Harvard Medical SchoolDirección de correo verificada de mgh.harvard.edu
Jeff FesslerProfessor of Electrical Engineering and Computer Science, Univ. of MichiganDirección de correo verificada de umich.edu
Mahmoud MostaphaSiemens HealthineersDirección de correo verificada de siemens-healthineers.com
Philippe CiuciuCEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)Dirección de correo verificada de cea.fr
Dimitrios KarkalousosPostdoctoral Researcher at Amsterdam UMCDirección de correo verificada de amsterdamumc.nl
Jean-Luc StarckCEA, Département d'AstrophysiqueDirección de correo verificada de cea.fr

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Matthew J. Muckley

Fundamental AI Research at Meta

Dirección de correo verificada de meta.com - Página principal

Machine Learning Compression Image Reconstruction Magnetic Resonance Imaging Compression


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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	773	2018
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	309	2020
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	241*	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	189	2020
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	124	2020
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	122	2019
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	76*	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	51	2020
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	46	2021
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	37	2015
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	30	2023
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	23	2010
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	19	2023
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	14	2022
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	13*	2023
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	13	2012
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	12	2022
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	12	2021
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	12	2018
SparseCT: System concept and design of multislit collimators B Chen, E Kobler, MJ Muckley, AD Sodickson, T O'Donnell, T Flohr, ... Medical Physics 46 (6), 2589-2599, 2019	11	2019

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