Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (CoRR, 2019)

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (ISBI, 2020)

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. - Zhishen Huang; Marc Louis Klasky; Trevor Wilcox; Saiprasad Ravishankar (CoRR, 2021)

High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. - Maliha Hossain; Balasubramanya T. Nadiga; Oleg Korobkin; Marc Louis Klasky; Jennifer L. Schei; Joshua W. Burby; Michael T. McCann; Trevor Wilcox; Soumi De; Charles A. Bouman (CoRR, 2021)

Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. - Berk Iskender; Yoram Bresler; Marc Louis Klasky (IVMSP, 2022)

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. - Anish Lahiri; Marc Louis Klasky; Jeffrey A. Fessler; Saiprasad Ravishankar (CoRR, 2022)

Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. - Berk Iskender; Marc Louis Klasky; Yoram Bresler (CAMSAP, 2023)

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. - Hyungjin Chung; Dohoon Ryu; Michael T. McCann; Marc Louis Klasky; Jong Chul Ye (CVPR, 2023)

Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. - Berk Iskender; Marc Louis Klasky; Brian M. Patterson; Yoram Bresler (ICASSP, 2023)

RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. - Berk Iskender; Marc Louis Klasky; Yoram Bresler (ICCV, 2023)

Score-Based Diffusion Models for Bayesian Image Reconstruction. - Michael T. McCann; Hyungjin Chung; Jong Chul Ye; Marc Louis Klasky (ICIP, 2023)

Diffusion Posterior Sampling for General Noisy Inverse Problems. - Hyungjin Chung; Jeongsol Kim; Michael Thompson McCann; Marc Louis Klasky; Jong Chul Ye (ICLR, 2023)

Machine Learning technique for isotopic determination of radioisotopes using HPGe γ-ray spectra. - Ajeeta Khatiwada; Marc Louis Klasky; Marcie Lombardi; Jason Matheny; Arvind Mohan (CoRR, 2023)

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. - Anish Lahiri; Gabriel Maliakal; Marc Louis Klasky; Jeffrey A. Fessler; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2023)

Material Identification From Radiographs Without Energy Resolution. - Michael T. McCann; Elena Guardincerri; Samuel M. Gonzales; Lauren A. Misurek; Jennifer L. Schei; Marc Louis Klasky (IEEE Trans. Computational Imaging, 2023)

Supervised Reconstruction for Silhouette Tomography. - Evan Bell; Michael T. McCann; Marc Louis Klasky (CoRR, 2024)

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks. - Daniel A. Serino; Marc Louis Klasky; Balasubramanya T. Nadiga; Xiaojian Xu 002; Trevor Wilcox (CoRR, 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (CoRR, 2024)

Learning physical unknowns from hydrodynamic shock and material interface features in ICF capsule implosions. - Daniel A. Serino; Evan Bell; Marc Louis Klasky; Ben S. Southworth; Balasubramanya T. Nadiga; Trevor Wilcox; Oleg Korobkin (CoRR, 2024)

RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. - Berk Iskender; Marc Louis Klasky; Yoram Bresler (IEEE Trans. Computational Imaging, 2024)

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications. - Xiaojian Xu 002; Marc Louis Klasky; Michael T. McCann; Jason Hu; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2025)

RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging. - Berk Iskender; Sushan Nakarmi; Nitin Daphalapurkar; Marc Louis Klasky; Yoram Bresler (CoRR, 2025)

Learning robust parameter inference and density reconstruction in flyer plate impact experiments. - Evan Bell; Daniel A. Serino; Ben S. Southworth; Trevor Wilcox; Marc Louis Klasky (CoRR, 2025)