Publikacje

1. A. Konieczka, A. Stankiewicz, J. Balcerek, “OCT image denoising using edge detection and averaging,” XVI Krajowa Konferencja Elektronik, KKE, Darłowo, 05-06, pp. 392-397, 2017.
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2. M. Stopa, E. Marciniak, P. Rakowicz, A. Stankiewicz, T. Marciniak, A. Dąbrowski, “Kontur zagłębienia dołka w zdrowych oczach – nowy parametr do oceny bieguna tylnego,” XLVIII Zjazd Okulistów Polskich, Kraków, Poland, 8-10, 2017.
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3. M. Stopa, E. Marciniak, P. Rakowicz, A. Stankiewicz, T. Marciniak, A. Dąbrowski, “Foveal pit contour in healthy human eyes - A new parameter that enhances our current evaluation of the fovea,” 17th EURETINA Congress, Barcelona, Spain, 7-10, 2017.
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4. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Segmentacja i parametryzacja struktury naczyń krwionośnych siatkówki oka ludzkiego za pomocą OCT,” XVI Krajowa Konferencja Elektroniki,, KKE, Darłowo, Poland, 5-9, pp. 442-449, 2017.
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5. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, E. Marciniak, “Volumetric Segmentation of Human Eye Blood Vessels Based on OCT Images,” 25th European Signal Processing Conference EUSIPCO 2017, Kos, Greece, 28.08.-02.09, 2017.
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6. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Novel Full-Automatic Approach for Segmentation of Epiretinal Membrane from 3D OCT Images,” 21th IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangenements and Applications (SPA'2017), IEEE, Poznan. Poland, 20-22 , pp. 100-105, 2017.
xxx, xxx Bibtex

7. 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.
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8. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Automatic Modeling and Classification of Vitreomacular Traction Pathology Stages,” 6th International Conference on Image Processing Theory, Tools and Aplications (IPTA), IEEE, Oulu, Finland, 12-15, pp. 1-6, 2016.
OCT, vitreoretinal interface, pathology detection, retina modelling, medical image processing Bibtex PDF

9. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Methods for improving precision of automatic image segmentation in OCT biometric interfaces (in Polish),” XV Krajowa Konferencja Elektroniki, Darłówko Wschodnie, 6-10, pp. 345-353, 2016.
optical coherence tomography (OCT), denoising and image segmentation, anisotropic diffusion, wavelet thresholding Bibtex PDF

10. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, E. Marciniak, A. Michalski, “Matching 3D OCT Retina Images into Super-Resolution Dataset,” 20th IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA 2016), IEEE, Poznan, Poland, 21-23, pp. 130-137, 2016.
OCT, super-resolution, multi-frame, retina image segmentation Bibtex PDF

11. 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

12. 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

13. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Analysis of low quality OCT images,” XIV Krajowa Konferencja Elektroniki (KKE), Darłówko Wschodnie, June, 8-12 2015, pp. 558-565, 2015.
optical coherence tomography (OCT), image segmentation, graph theory Bibtex PDF

14. R. Weychan, A. Stankiewicz, A. Dąbrowski, “Real Time Recognition Of Speakers From Internet Audio Stream,” Foundations of Computing and Decision Sciences, vol. 40, no. 3, pp. 223-233, 2015.
speaker recognition, GMM, Internet radio, ISOMAP Bibtex PDF

15. 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

16. 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

17. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, E. Marciniak, “A New OCT-based Method to Generate Virtual Maps of Vitreomacular Interface Pathologies,” IEEE SPA 2014, Signal Processing Algorithms, Architectures, Arrangements and Applications, 22-24 września 2014, Poznań, 22-24.09.2014, pp. 83-87, 2014.
OCT, vitreoretinal interfce, image processing, retinal layers segmentation Bibtex

18. R. Weychan, A. Stankiewicz, T. Marciniak, A. Dąbrowski, “Improving of speaker identication from mobile telephone calls,” Multimedia Communications, Services and Security vol. 429, 2014, Conference proceedings, 11 June 2014, 11.07.2014, pp. 254-264, 2014.
speaker identifikation, GSM, Ganussian mixture models Bibtex

19. R. Weychan, A. Stankiewicz, T. Marciniak, A. Dąbrowski, “Analysis of the impact of data resolution on the speaker recognition effectiveness in embedded fixed-point systems,” IEEE SPA 2013, Signal Processing Algorithms, Architectures, Arrangements and Applications, 26-28 września 2013, Poznań, 26-28.09.2013, pp. 327-331, 2013.
speaker identification, FFT, fixed point Bibtex

20. T. Marciniak, R. Weychan, A. Stankiewicz, A. Dąbrowski, “Implementacja przetwarzania biometrycznego sygnału mowy w systemie z procesorem sygnałowym,” XII Krajowa Konferencja Elektroniki Darłówko 2013, 10 - 13 czerwca 2013, 10-13.06.2013, pp. 856-863, 2013.
biometria, przetwarzanie mowy, procersor sygnałowy, mieszane modele Gaussa, kwantyzacja wektorowa Bibtex