Maria Cywińska

About Maria Cywińska

Maria Cywińska, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Politechnika Warszawska, specializes in the field of interferometry, fringe pattern analysis, phase demodulation, quantitative phase imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

inPHASENet: convolutional neural network for high space-bandwidth product single-fringe-pattern phase imaging

Deep learning aided Variational Hilbert Quantitative Phase Imaging

Deep variational Hilbert quantitative phase imaging

Deep learning assisted variational Hilbert quantitative phase imaging

DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration

Hilbert phase microscopy based on pseudo thermal illumination in the Linnik configuration

DeepOrientation: convolutional neural network for fringe pattern orientation map estimation

Single-shot two-frame interference microscopy for robust quantitative phase imaging of fixed and dynamic samples

Maria Cywińska Information

University

Position

PhD student

Citations(all)

157

Citations(since 2020)

149

Cited By

49

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Maria Cywińska Skills & Research Interests

interferometry

fringe pattern analysis

phase demodulation

quantitative phase imaging

Top articles of Maria Cywińska

inPHASENet: convolutional neural network for high space-bandwidth product single-fringe-pattern phase imaging

2024/3/13

Deep learning aided Variational Hilbert Quantitative Phase Imaging

2023/8/14

Deep variational Hilbert quantitative phase imaging

2023/5/31

Deep learning assisted variational Hilbert quantitative phase imaging

Opto-Electronic Sci.

2023/5/18

DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration

Journal of Optics

2023/3/9

Hilbert phase microscopy based on pseudo thermal illumination in the Linnik configuration

Optics Letters

2022/11/15

DeepOrientation: convolutional neural network for fringe pattern orientation map estimation

Optics Express

2022/11/7

Single-shot two-frame interference microscopy for robust quantitative phase imaging of fixed and dynamic samples

2021/6/20

Fringe pattern background and amplitude modulation in DeepDensity: convolutional neural network for local fringe density map estimation

2021/4/18

High space-bandwidth product phase imaging using VHQPI numerical add-on

2021/4/12

Moiré microstructure generated binary amplitude gratings for suppression of high diffraction orders

Optics and Lasers in Engineering

2021/12/1

DeepDensity: Convolutional neural network based estimation of local fringe pattern density

Optics and Lasers in Engineering

2021/10/1

Single-shot fringe pattern phase retrieval using improved period-guided bidimensional empirical mode decomposition and Hilbert transform

Optics Express

2021/9/27

Applying an iterative filtering method for optical fringe patterns preprocessing

2021/7/19

Noise influence on DeepDensity: convolutional neural network for local fringe density map estimation

2021/7/19

Author Correction: Variational Hilbert Quantitative Phase Imaging

Scientific Reports

2020/12/4

Deep-learning Accelerated Fringe Pattern Filtration Using Variational Image Decomposition

2020/9/14

Machine-learning based fast unsupervised variational image decomposition for fringe pattern analysis

2020/8/21

Variational Hilbert quantitative phase imaging

Scientific Reports

2020/8/18

Full-field vibration profilometry using time-averaged interference microscopy aided by variational analysis

Optics Express

2020/1/6

See List of Professors in Maria Cywińska University(Politechnika Warszawska)