Composite SAR imaging using sequential joint sparsity T Sanders, A Gelb, RB Platte Journal of Computational Physics 338, 357-370, 2017 | 43 | 2017 |
Recovering fine details from under-resolved electron tomography data using higher order total variation ℓ1 regularization T Sanders, A Gelb, RB Platte, I Arslan, K Landskron Ultramicroscopy 174, 97-105, 2017 | 38 | 2017 |
Physically motivated global alignment method for electron tomography T Sanders, M Prange, C Akatay, P Binev Advanced Structural and Chemical Imaging 1, 1-11, 2015 | 35 | 2015 |
MATLAB Imaging algorithms: Image Reconstruction, Restoration, and Alignment, with a Focus in Tomography T Sanders researchgate, 2017 | 25 | 2017 |
Effective new methods for automated parameter selection in regularized inverse problems T Sanders, RB Platte, RD Skeel Applied Numerical Mathematics 152, 29-48, 2020 | 20 | 2020 |
Nanoporous dielectric resistive memories using sequential infiltration synthesis B Chakrabarti, H Chan, K Alam, A Koneru, TE Gage, LE Ocola, R Divan, ... ACS nano 15 (3), 4155-4164, 2021 | 18 | 2021 |
Electron tomography and fractal aspects of MoS2 and MoS2/Co spheres M Ramos, F Galindo-Hernández, I Arslan, T Sanders, JM Domínguez Scientific Reports 7 (1), 12322, 2017 | 16 | 2017 |
Discrete iterative partial segmentation technique (DIPS) for tomographic reconstruction T Sanders IEEE Transactions on Computational Imaging 2 (1), 71-82, 2016 | 14 | 2016 |
Multiscale higher-order TV operators for L1 regularization T Sanders, RB Platte Advanced structural and chemical imaging 4 (1), 12, 2018 | 12 | 2018 |
Inpainting versus denoising for dose reduction in scanning-beam microscopies T Sanders, C Dwyer IEEE Transactions on Image Processing 29, 351-359, 2019 | 11 | 2019 |
Parameter selection for HOTV regularization T Sanders Applied Numerical Mathematics 125, 1-9, 2018 | 11 | 2018 |
Subsampling and inpainting approaches for electron tomography T Sanders, C Dwyer Ultramicroscopy 182, 292-302, 2017 | 8 | 2017 |
New computational techniques for a faster variation of bm3d image denoising T Sanders, S Larkin arXiv preprint arXiv:2103.10765, 2021 | 6 | 2021 |
Combination of correlated phase error correction and sparsity models for SAR T Sanders, T Scarnati Computational Imaging II 10222, 63-73, 2017 | 6 | 2017 |
Real time deconvolution of adaptive optics ground based telescope imagery T Sanders, R Hedges, T Schulz, M Abijaoude, J Peters, M Steinbock, ... The Journal of the Astronautical Sciences, 1-17, 2022 | 5 | 2022 |
Improved three-dimensional (3D) resolution of electron tomograms using robust mathematical data-processing techniques T Sanders, I Arslan Microscopy and Microanalysis 23 (6), 1121-1129, 2017 | 5 | 2017 |
Inpainting versus denoising for dose reduction in STEM T Sanders, C Dwyer Microscopy and Microanalysis 24 (S1), 482-483, 2018 | 4 | 2018 |
Multivariate analysis and compressed sensing methods for spectroscopic electron tomography of semiconductor devices M Jacob, T Sanders, N Bernier, A Grenier, RB Pinheiro, F Mazen, ... Microscopy and Microanalysis 24 (S1), 500-501, 2018 | 4 | 2018 |
Periodic Mesoporous Hexagonal Boron Nitride at High Pressure: A Route to Cubic Boron Nitride Nanocrystals and Mesoporous Cubic Boron Nitride M Mandal, C Liu, T Sanders, F Haso, V Bhadram, I Arslan, T Liu, Y Fei, ... ChemistrySelect 2 (2), 740-744, 2017 | 4 | 2017 |
Image Processing and 3-D Reconstruction in Tomography TL Sanders University of South Carolina, 2015 | 4 | 2015 |