| A bias-reducing loss function for CT image denoising M Nagare, R Melnyk, O Rahman, KD Sauer, CA Bouman ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 12 | 2021 |
| Neural network-based single material beam-hardening correction for X-ray CT in Additive Manufacturing O Rahman, S Venkatakrishnan, Z Snow, P Brackman, T Feldhausen, ... 17th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2023 | 3 | 2023 |
| MBIR Training for a 2.5 D DL network in X-ray CT O Rahman, M Nagare, KD Sauer, CA Bouman, R Melnyk, B Nett, J Tang arXiv preprint arXiv:2309.13399, 2023 | 2 | 2023 |
| Reduction kinetics of hematite powder using argon/hydrogen plasma with prospects for near net shaping of sustainable iron R Kannan, AG Stevens, C Fancher, O Rahman, R Miller, J Ward, ... Sustainable Materials and Technologies 40, e00879, 2024 | 1 | 2024 |
| Deep learning based workflow for accelerated industrial X-ray Computed Tomography O Rahman, SV Venkatakrishnan, L Scime, P Brackman, C Frederick, ... 2023 IEEE International Conference on Image Processing (ICIP), 2990-2994, 2023 | 1 | 2023 |
| A noise preserving sharpening filter for CT image enhancement M Nagare, J Tang, O Rahman, B Nett, R Melnyk, KD Sauer, CA Bouman 2022 IEEE International Conference on Image Processing (ICIP), 2566-2570, 2022 | 1 | 2022 |
| Direct Iterative Reconstruction of Multiple Basis Material Images in Photon-counting Spectral CT O Rahman, KD Sauer, CJ Evans, RK Roeder The 6th International Conference on Image Formation in X-Ray Computed …, 2020 | 1 | 2020 |
| Creep deformation and cavitation in an additively manufactured Al-8.6 Cu-0.4 Mn-0.9 Zr (wt%) alloy JU Rakhmonov, R Michi, S Bahl, O Rahman, C Frederick, AK Ziabari, ... Additive Manufacturing 84, 104097, 2024 | | 2024 |
| Noise preserving models and methods for resolution recovery of x-ray computed tomography images R Melnyk, MM Nagare, J Tang, O Rahman, BE Nett, K Sauer, CA Bouman US Patent App. 17/807,779, 2023 | | 2023 |
| Generating neural networks tailored to optimize specific medical image properties using novel loss functions O Rahman, MM Nagare, R Melnyk, J Tang, BE Nett, CA Bouman, K Sauer US Patent App. 17/804,224, 2023 | | 2023 |
| Direct Reconstruction of Multiple Basis Material Images in Spectral CT O Rahman, K Sauer, C Evans, R Roeder arXiv preprint arXiv:2309.13397, 2023 | | 2023 |
| Reducing Artifacts in BF and HAADF-STEM Images of Pt/C Fuel Cells using MBIR-ARAR A Ziabari, O Rahman, H Yu, JD Arregui-Mena, SV Venkatakrishnan, ... Microscopy and Microanalysis 29 (Supplement_1), 1385-1387, 2023 | | 2023 |
| Systems and methods for computed tomography image denoising with a bias-reducing loss function MM Nagare, R Melnyk, O Rahman, K Sauer, C Bouman Jr US Patent App. 17/662,161, 2022 | | 2022 |
| Design of novel loss functions for deep learning in x-ray CT O Rahman, KD Sauer, M Nagare, CA Bouman, R Melnyk, J Tang, B Nett 7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022 | | 2022 |
| Microscopic Insights into the Inhomogeneous Degradation of Pt Alloy Catalysts in PEM Fuel Cells H Yu, MJ Zachman, O Rahman, A Ziabari, J Arregui Mena, ... Electrochemical Society Meeting Abstracts 242, 1550-1550, 2022 | | 2022 |
| Low Signal Algorithms in X-ray Computed Tomography O Rahman University of Notre Dame, 2022 | | 2022 |
| Statistically adaptive filtering for low signal correction in x-ray computed tomography O Rahman, KD Sauer, CA Bouman, R Melnyk, B Nett Medical Imaging 2021: Physics of Medical Imaging 11595, 618-623, 2021 | | 2021 |
