Publications
Comprehensive lists:
ORCID: 0000-0002-6834-2344, ResearcherID: AAV-3862-2020, SCOPUS: 55052384900, ResearchGate, Google Scholar, IEEE, arXiv, PBN, Nauka-Polska.
Essential publications:
K. Rzecki, I. Kucybała, D. Gut, A. Jarosz, T. Nabagło, Z. Tabor, and W. Wojciechowski, Fully automated algorithm for the detection of bone marrow oedema lesions in patients with axial spondyloarthritis - Feasibility study, Biocybernetics and Biomedical Engineering, vol. 41, no. 2, pp. 833853, 2021.
M. Baran, Z. Tabor, M. Tulik, D. Kabat, K. Rzecki, T. Sośnicki, and M. Waligórski, Are gamma passing rate and dose volume histogram QA metrics correlated?, Medical Physics, vol. 48, no. 9, pp. 47434753, 2021.
K. Rzecki and M. Baran, Application of Elastic Shape Analysis to User Authentication and Identification, IEEE Transactions on Emerging Topics in Computing, 2021. (early access).
M. Piekarczyk, et al., CNN-Based Classifer as an Oine Trigger for the CREDO Experiment, Sensors, vol. 21, no. 14, 2021.
K. Rzecki, Classification Algorithm for Person Identification and Gesture Recognition Based on Hand Gestures with Small Training Sets, Sensors, vol. 20, no. 24, 2020.
P. Homola, et al., Cosmic-Ray Extremely Distributed Observatory, Symmetry, vol. 12, no. 11, 2020.
L. Bibrzycki, et al., Towards A Global Cosmic Ray Sensor Network: CREDO Detector as the First Open-Source Mobile Application Enabling Detection of Penetrating Radiation, Symmetry, vol. 12, no. 11, 2020.
M. Baran, D. Kabat, M. Tulik, K. Rzecki, T. Sośnicki, and Z. Tabor, Statistical approach to the selection of the tolerances for distance to agreement improves the quality control of the dose delivery in radiotherapy, Physics in Medicine & Biology, vol. 65, p. 145004, jul 2020.
M. Baran, K. Rzecki, D. Kabat, M. Tulik, A. Wydra, Z. Derda, A. Sochaczewska, and Z. Tabor, A simulation-based method for evaluating geometric tests of a linac c-arm in quality control in radiotherapy, Journal of Applied Clinical Medical Physics, vol. 20, no. 9, pp. 133142, 2019.
M. Baran, L. Siwik, and K. Rzecki, Application of Elastic Principal Component Analysis to Person Recognition Based on Screen Gestures, in Articial Intelligence and Soft Computing (L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, and J. M. Zurada, eds.), Lecture Notes in Computer Science, vol 11508, (Cham), pp. 553560, Springer International Publishing, 2019.
K. Rzecki, L. Siwik, and M. Baran, The Elastic k-Nearest Neighbours Classier for Touch Screen Gestures, in Articial Intelligence and Soft Computing (L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, and J. M. Zurada, eds.), Lecture Notes in Computer Science, vol 11508, (Cham), pp. 608615, Springer International Publishing, 2019.
K. Rzecki, B. Wójcik, M. Baran, and M. Sułowicz, Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods, in Articial Intelligence and Soft Computing (L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, and J. M. Zurada, eds.), Lecture Notes in Computer Science, vol 11508, (Cham), pp. 673684, Springer International Publishing, 2019.
K. Rzecki, T. Sośnicki, M. Baran, M. Niedźwiecki, M. Król, T. Łojewski, U. R. Acharya, O. Yildirim, and P. Pławiak, Application of Computational Intelligence Methods for the Automated Identication of Paper-Ink Samples Based on LIBS, Sensors, vol. 18, no. 11, 2018.
M. Niedźwiecki, M. Tomaszuk, D. Kabat, Z. Latała, K. Rzecki, and Z. Tabor, Application of image analysis methods for isocenter quality assurance in radiotherapy, Image Analysis & Stereology, vol. 36, no. 1, pp. 3541, 2017.
K. Rzecki, P. Pławiak, M. Niedźwiecki, T. Sośnicki, J. Leśkow, and M. Ciesielski, Person recognition based on touch screen gestures using computational intelligence methods, Information Sciences, vol. 415-416, pp. 7084, 2017.
M. Niedźwiecki, K. Rzecki, and K. Cetnarowicz, Eval-net: Elements of Evaluation Nets as Extension to Petri Nets, in Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions (A. M. Skulimowski and J. Kacprzyk, eds.), Advances in Intelligent Systems and Computing, vol 364, (Cham), pp. 151162, Springer International Publishing, 2016.
Siwik, L. Mozgowoj, and K. Rzecki, From Biometry to Signature-As-A-Service: The Idea, Architecture and Realization, in Articial Intelligence and Soft Computing (L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, and J. M. Zurada, eds.), Lecture Notes in Computer Science, vol 9693, (Cham), pp. 200209, Springer International Publishing, 2016.
P. Pławiak, T. Sośnicki, M. Niedźwiecki, Z. Tabor, and K. Rzecki, Hand Body Language Gesture Recognition Based on Signals From Specialized Glove and Machine Learning Algorithms, IEEE Transactions on Industrial Informatics, vol. 12, no. 3, pp. 11041113, 2016.
K. Rzecki, ed., Zagadnienia programowania aplikacji mobilnych i systemów wbudowanych : praca zbiorowa. Kraków: Wydaw. PK, 2016.
P. Pławiak and K. Rzecki, Approximation of Phenol Concentration Using Computational Intelligence Methods Based on Signals From the Metal-Oxide Sensor Array, IEEE Sensors Journal, vol. 15, pp. 17701783, March 2015.
K. Rzecki, M. Niedźwiecki, T. Sośnicki, and A. Martyna, Experimental verication of Hyper-V performance isolation level, Computer Science, vol. 15, no. 2, p. 159, 2014.