Marc Louis Klasky

According to our database, Marc Louis Klasky authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, Trevor Wilcox

CoRR, 2024

Supervised Reconstruction for Silhouette Tomography.

Evan Bell, Michael T. McCann, Marc Louis Klasky

CoRR, 2024

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

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

Diffusion Posterior Sampling for General Noisy Inverse Problems.

Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Score-Based Diffusion Models for Bayesian Image Reconstruction.

Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky

Proceedings of the IEEE International Conference on Image Processing, 2023

RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging.

Berk Iskender, Marc Louis Klasky, Yoram Bresler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography.

Berk Iskender, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler

Proceedings of the IEEE International Conference on Acoustics, 2023

Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models.

Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior.

Berk Iskender, Marc Louis Klasky, Yoram Bresler

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

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 by Projection-Domain Separable Modeling.

Berk Iskender, Yoram Bresler, Marc Louis Klasky

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

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

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography.

Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar

CoRR, 2021

2020

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction.

Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction.

Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg

CoRR, 2019