| Variational Hilbert quantitative phase imaging M Trusiak, M Cywińska, V Micó, JÁ Picazo-Bueno, C Zuo, P Zdańkowski, ... Scientific Reports 10 (1), 13955, 2020 | 48 | 2020 |
| Automatized fringe pattern preprocessing using unsupervised variational image decomposition M Cywińska, M Trusiak, K Patorski Optics express 27 (16), 22542-22562, 2019 | 33 | 2019 |
| DeepDensity: Convolutional neural network based estimation of local fringe pattern density M Cywińska, F Brzeski, W Krajnik, K Patorski, C Zuo, M Trusiak Optics and Lasers in Engineering 145, 106675, 2021 | 15 | 2021 |
| Single-frame fringe pattern analysis using modified variational image decomposition aided by the Hilbert transform for fast full-field quantitative phase imaging M Cywińska, M Trusiak, V Mico, K Patorski Unconventional Optical Imaging 10677, 439-452, 2018 | 14 | 2018 |
| Deep learning assisted variational Hilbert quantitative phase imaging Z Li, J Sun, Y Fan, Y Jin, Q Shen, M Trusiak, M Cywińska, P Gao, Q Chen, ... Opto-Electron Sci 2, 220023, 2023 | 13 | 2023 |
| Single-shot fringe pattern phase retrieval using improved period-guided bidimensional empirical mode decomposition and Hilbert transform P Gocłowski, M Cywińska, A Ahmad, B Ahluwalia, M Trusiak Optics Express 29 (20), 31632-31649, 2021 | 11 | 2021 |
| Modified variational image decomposition algorithm aided by the Hilbert transform as an alternative to 2D Hilbert-Huang transform for fringe pattern phase retrieval M Cywińska, M Trusiak, K Patorski, JA Picazo-Bueno, V Mico Speckle 2018: VII International Conference on Speckle Metrology 10834, 536-547, 2018 | 10 | 2018 |
| Enhancing single-shot fringe pattern phase demodulation using advanced variational image decomposition M Cywińska, M Trusiak, C Zuo, K Patorski Journal of Optics 21 (4), 045702, 2019 | 7 | 2019 |
| Hilbert phase microscopy based on pseudo thermal illumination in the Linnik configuration M Rogalski, M Cywińska, A Ahmad, K Patorski, V Micó, BS Ahluwalia, ... Optics Letters 47 (22), 5793-5796, 2022 | 5 | 2022 |
| DeepOrientation: convolutional neural network for fringe pattern orientation map estimation M Cywińska, M Rogalski, F Brzeski, K Patorski, M Trusiak Optics Express 30 (23), 42283-42299, 2022 | 5 | 2022 |
| Three-level transmittance 2D grating with reduced spectrum and its self-imaging K Patorski, Ł Służewski, P Zdańkowski, M Cywińska, M Trusiak Optics Express 27 (3), 1854-1868, 2019 | 5 | 2019 |
| DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration M Cywińska, K Szumigaj, M Kołodziej, K Patorski, V Mico, S Feng, C Zuo, ... Journal of Optics 25 (4), 045702, 2023 | 3 | 2023 |
| Full-field vibration profilometry using time-averaged interference microscopy aided by variational analysis M Cywińska, M Trusiak, A Styk, K Patorski Optics Express 28 (1), 435-450, 2020 | 3 | 2020 |
| Biological phase sample study using variational Hilbert imaging technique M Cywińska, M Trusiak, K Patorski Quantitative Phase Imaging V 10887, 228-234, 2019 | 3 | 2019 |
| Analysis of fringe patterns with variable density using modified variational image decomposition aided by the Hilbert Transform M Cywińska, M Trusiak, K Patorski 21st Czech-Polish-Slovak Optical Conference on Wave and Quantum Aspects of …, 2018 | 2 | 2018 |
| An adaptive optics 3D STED microscope for super-resolution imaging of thick samples with background noise suppression using digital image processing P Zdańkowski, M Trusiak, M Cywińska, JR Swedlow Speckle 2018: VII International Conference on Speckle Metrology 10834, 639-647, 2018 | 2 | 2018 |
| Moire microstructure generated binary amplitude gratings for suppression of high diffraction orders K Patorski, M Cywińska, P Zdańkowski, M Trusiak Optics and Lasers in Engineering 147, 106731, 2021 | 1 | 2021 |
| Applying an iterative filtering method for optical fringe patterns preprocessing M Rogalski, M Pielach, M Cywińska, A Cicone, M Trusiak Computational Optical Sensing and Imaging, CF2B. 4, 2021 | 1 | 2021 |
| Fringe pattern background and amplitude modulation in DeepDensity: convolutional neural network for local fringe density map estimation M Cywińska, F Brzeski, W Krajnik, K Patorski, M Trusiak Holography: Advances and Modern Trends VII 11774, 125-130, 2021 | 1 | 2021 |
| Machine-learning based fast unsupervised variational image decomposition for fringe pattern analysis M Cywińska, M Trusiak, K Patorski Interferometry XX 11490, 63-70, 2020 | 1 | 2020 |
