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Michael T. McCann
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Year
Learning Sparsity-Promoting Regularizers using Bilevel Optimization
A Ghosh, M McCann, M Mitchell, S Ravishankar
SIAM Journal on Imaging Sciences 17 (1), 31-60, 2024
32024
PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
W Gan, Q Zhai, MT McCann, CG Cardona, US Kamilov, B Wohlberg
IEEE Open Journal of Signal Processing, 2024
2024
Supervised Reconstruction for Silhouette Tomography
E Bell, MT McCann, M Klasky
arXiv preprint arXiv:2402.07298, 2024
2024
Robust and Simple ADMM Penalty Parameter Selection
MT McCann, B Wohlberg
IEEE Open Journal of Signal Processing, 2024
2024
Isotopic gamma lines for identification of shielding materials
O Korobkin, ML Klasky, A Khatiwada, M McCann
arXiv preprint arXiv:2311.15148, 2023
2023
Score-based diffusion models for Bayesian image reconstruction
MT McCann, H Chung, JC Ye, ML Klasky
2023 IEEE International Conference on Image Processing (ICIP), 111-115, 2023
32023
Comparison of Supervised and Un-Supervised Machine Learning Algorithms for Threat Detection and Scintillator Performance for Radiation Portal Monitoring
ML Klasky, MT McCann, JR Haack, JR Matheny
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023
2023
An End-to-End Learning Approach for Subpixel Feature Extraction
X Xu, JA Fessler, M Klasky, GS Sidharth, JL Schei, MT McCann
Imaging Systems and Applications, JW2A. 1, 2023
2023
Interrogating the Effects of Rate and Orientation on the Dynamic Failure Response of α-Quartz under Uniaxial Stress Compression
B Zuanetti, AF Leong, M Zecevic, KJ Ramos, MJ Cawkwell, ...
Society for Experimental Mechanics Annual Conference and Exposition, 111-117, 2023
2023
In-Situ Mesoscale Characterization of Dynamic Crack Initiation and Propagation Using X-Ray Phase Contrast Imaging
AFT Leong, B Zuanetti, M Zecevic, KJ Ramos, CA Bolme, CS Meredith, ...
Society for Experimental Mechanics Annual Conference and Exposition, 41-47, 2023
2023
Material Identification From Radiographs Without Energy Resolution
MT McCann, E Guardincerri, SM Gonzales, LA Misurek, JL Schei, ...
IEEE Transactions on Computational Imaging 9, 314-326, 2023
22023
Solving 3d inverse problems using pre-trained 2d diffusion models
H Chung, D Ryu, MT McCann, ML Klasky, JC Ye
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
332023
Scientific computational imaging code (SCICO)
T Balke, F Davis Rivera, C Garcia-Cardona, S Majee, MT McCann, ...
Journal of Open Source Software 7 (LA-UR-22-28555), 2022
142022
Comparing one-step and two-step scatter correction and density reconstruction in x-ray CT
AN Sietsema, MT McCann, ML Klasky, S Ravishankar
7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022
2022
Diffusion posterior sampling for general noisy inverse problems
H Chung, J Kim, MT Mccann, ML Klasky, JC Ye
arXiv preprint arXiv:2209.14687, 2022
2562022
Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC)
A Ghosh, MT Mccann, S Ravishankar
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
72022
High-precision inversion of dynamic radiography using hydrodynamic features
M Hossain, BT Nadiga, O Korobkin, ML Klasky, JL Schei, JW Burby, ...
Optics Express 30 (9), 14432-14452, 2022
92022
High Fidelity Tomographic Density Reconstructions
ML Klasky, MA Espy, JLS Disterhaupt, MT McCann
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2022
12022
Learning from Hydrodynamics Simulations with Mass Constraints for Density Reconstruction in Dynamic Tomography
ML Klasky, Z Huang, MT McCann, JLS Disterhaupt, S Ravishankar
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022
2022
High Fidelity Tomographic Density Reconstructions [Slides]
ML Klasky, MA Espy, JLS Disterhaupt, MT McCann
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2021
2021
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Articles 1–20