Marc Louis Klasky

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Driven Learning

Image Reconstruction

Top Venues

IEEE Trans. Computational Imaging

Publications

Berk Iskender, Marc Louis Klasky, Yoram Bresler
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Trans. Computational Imaging 10 (2024)
Evan Bell, Michael T. McCann, Marc Louis Klasky
Supervised Reconstruction for Silhouette Tomography. CoRR (2024)
Berk Iskender, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler
Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP (2023)
Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc Louis Klasky
Material Identification From Radiographs Without Energy Resolution. IEEE Trans. Computational Imaging 9 (2023)
Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. ICCV (2023)
Anish Lahiri, Gabriel Maliakal, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. IEEE Trans. Computational Imaging 9 (2023)
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. CoRR (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. CAMSAP (2023)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR (2023)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR (2022)
Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. CoRR (2022)
Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR (2022)
Berk Iskender, Yoram Bresler, Marc Louis Klasky
Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. IVMSP (2022)
Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR (2021)
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
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. CoRR (2021)
Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg
Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. ISBI (2020)
Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg
Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. CoRR (2019)