Image restoration for sparse aperture optical systems. - Berk Iskender; Figen S. Oktem (SIU, 2018)

A Physics-Motivated DNN for X-Ray CT Scatter Correction. - Berk Iskender; Yoram Bresler (ISBI, 2020)

Labmat: Learned Feature-Domain Block Matching For Image Restoration. - Shijun Liang; Berk Iskender; Bihan Wen; Saiprasad Ravishankar (ICIP, 2021)

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

Improving Dense Contrastive Learning with Dense Negative Pairs. - Berk Iskender; Zhenlin Xu; Simon Kornblith; Enhung Chu; Maryam Khademi (CoRR, 2022)

Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning. - Berk Iskender; Yoram Bresler (IEEE Trans. Computational Imaging, 2022)

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

A Pipeline for Segmenting and Structuring RGB-D Data for Robotics Applications. - Zhiwu Zheng; Lauren Mentzer; Berk Iskender; Michael Price; Colm Prendergast; Audren Cloitre (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)

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)