Publikacje

1. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Denoising methods for improving automatic segmentation in OCT images of human eye,” Bulletin of the Polish Academy of Sciences-Technical Sciences, vol. 65, no. 1, DOI: 10.1515/bpasts-2017-000, pp. 71-78, 2017.
xxx, xxxx Bibtex

2. S. Drgas, T. Virtanen, J. Luecke, A. Hurmalainen, “Binary Non-Negative Matrix Deconvolution for Audio Dictionary Learning,” IEEE/ACM Trans. Audio, Speech, Language Process., vol. 25/8, pp. 1644-1656, 2017.
xxx, xxx Bibtex

3. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Improvement of 3D Retina Layers Segmantation Based on Graph Theoty Approach for Low Quality OCT Images,” Metrology and Measurement Systems, vol. 23, no. 2, POLISH ACADEMY OF SCIENCES, Committee on Metrology and Scientific Instrumentation, DOI: https://doi.org/10.1515/mms-2016-0016, pp. 269-280, 2016.
optical coherence tomography (OCT), retinal leyrs segmentation, image segmentation, graph theory Bibtex PDF

4. M. Stopa, E. Marciniak, P. Rakowicz, A. Stankiewicz, T. Marciniak, A. Dąbrowski, “Imaging and Measurement of the Preretinal space in Vitreomacular adhesion and Vitreomacular Traction by a New Spectral Domain Optical Coherence Tomography,” Retina-The Journal of Retinal and Vitreous Diseases, vol. 0, DOI: 10.1097/IAE.0000000000001439, pp. 1-8, 2016.
vitreomacular interace, preretinal space, vitreomacular adhesion, vitreomacular traction, opical coherence tomography, image analysis Bibtex

5. H. Matusiewicz, M. Ślachciński, P. Pawłowski, M. Portalski, “Evaluation of Five Phase Digitally Controlled Rotating Field Plasma Source for Photochemical Mercury Vapor Generation Optical Emission Spectrometry,” Analytical Sciences, vol. 31, no. 10, pp. 987-995, 2015.
rotating field plasma, photochemical vapor generation, optical emission spectrometry, mercury determination Bibtex PDF

6. M. Parzych, A. Dąbrowski, D. Cetnarowicz, “Aspects of Microsoft Kinect sensor application to servomotor control,” Bulletin of the Polish Academy of Sciences-Technical Sciences, DOI: 10.2478/bpasts-2014-0065, pp. 595-601, 2014.
gesture-based control systems, MS Kinect, Arduino, servomotor control Bibtex

7. T. Marciniak, R. Weychan, A. Stankiewicz, A. Dąbrowski, “Biometric speech signal processing in a system with digital signal processor,” Bulletin of the Polish Academy of Sciences-Technical Sciences, vol. 62, no. 3, IV Division of the Polish Academy of Sciences, DOI: 10.2478/bpasts-2014-0064, pp. 589-594, 2014.
biometry, speech processing, digital signal processor, Gaussian mixture models, vector quantization Bibtex PDF

8. T. Marciniak, A. Dąbrowski, A. Chmielewska, A. Stankiewicz, “Selection of parameters in iris recognition system,” Multimedia Tools and Applications, vol. 68, no. 1, Springer, DOI: 10.1007/s11042-012-1035-y, pp. 193-208, 2014.
Iris recognition, Biometric, CASIA, IrisBath Bibtex PDF

9. T. Marciniak, A. Chmielewska, R. Weychan, M. Parzych, A. Dąbrowski, “Influence of low resolution of images on reliability of face detection and recognition,” Multimedia Tools and Applications, Springer-Verlag Berlin Heidelberg 2013, Printed in Germany, DOI: 10.1007/s11042-013-1568-8, 2013.
Face detection and recognition, biometric standards, low-resolution images Bibtex