Arkadiusz Tomczyk, PhD, MSc
PL 

EN 
Research
  • Publications:

    • B. Durys, A. Tomczyk, Improvement of Attention Mechanism Explainability in Prediction of Chemical Molecules Properties. Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 119-124, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.1
    • M. Morawski, A. Tomczyk, M. Idaczyk, Energy Dissipation Anomalies in Buildings. Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 165-166, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.25.
    • B. Wojcik, A. Tomczyk, Spatial Information in Graph Convolutional Neural Networks. Proceedings of the 3rd Polish Conference on Artificial Intelligence, April 25-27, 2022, Gdynia, Poland, Gdynia Maritime University, pp 77-80, 2022
    • D. Salata, A. Tomczyk, P. S. Szczepaniak, Convolutional Sparse Coding of Images through Characteristic Points Extraction. Proceedings of the 3rd Polish Conference on Artificial Intelligence, April 25-27, 2022, Gdynia, Poland, Gdynia Maritime University, pp 12-15, 2022
    • A. Tomczyk, O. Pankiv, P. S. Szczepaniak. Synergy of Convolutional Neural Networks and Geometric Active Contours. TEWI 2021 (Technology, Education, Knowledge, Innovation), A. Wojciechowski, P. Napieralski, P. Lipinski (eds), Politechnika Łódzka, pp 207-215, 2021
    • M. Simionescu, A. Wojciechowski, A. Tomczyk, M. Rabe: Revised Environmental Kuznets Curve for V4 Countries and Baltic States. Energies 2021, 14(11), 3302
    • A. Roque, A. Tomczyk, E. de Maria, F. Putze, R. Moucek, A. Fred, H. Gamboa. Biomedical Engineering Systems and Technologies. ISBN: 978-3-030-46969-6, Springer. 10.1007/978-3-030-46970-2, 2020
    • P. Tarasiuk, A. Tomczyk, B. Stasiak: Automatic Identification of Local Features Representing Image Content with the Use of Convolutional Neural Networks. Appl. Sci. 2020, 10, 5186
    • A. Tomczyk, P.S. Szczepaniak: Ear Detection Using Convolutional Neural Network on Graphs with Filter Rotation. Sensors 2019, 19, 5510
    • B. Stasiak, P. Tarasiuk, I. Michalska , A. Tomczyk: Application of convolutional neural networks with anatomical knowledge for brain MRI analysis in MS patients, Bulletin of the Polish Academy of Sciences - Technical Sciences, Vol. 66, No. 6, 2018, DOI: 10.24425/bpas.2018.125933
    • B. Stasiak, P. Tarasiuk, I. Michalska, A. Tomczyk, P.S. Szczepaniak (2018) Convolutional Neural Network Based Segmentation of Demyelinating Plaques in MRI. In: Peixoto N., Silveira M., Ali H., Maciel C., van den Broek E. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2017. Communications in Computer and Information Science, vol 881, pp 163-188. Springer, Cham
    • A. Tomczyk: Active Partitions in Localization of Semantically Important Image Structures. Bridging the Semantic Gap in Image and Video Analysis, (Eds. Halina Kwaśnicka H., Lakhmi C. Jain), Intelligent Systems Reference Library 145, Chapter 4, Springer, 2018, ISBN 978-3-319-73890-1, ISSN 1868-4394, DOI: 10.1007/978-3-319-73891-8_4, pp. 51-72
    • A. Tomczyk, B. Stasiak, P. Tarasiuk , A. Gorzkiewicz, A. Walczewska, P.S. Szczepaniak: Localization of Neuron Nucleuses in Microscopy Images with Convolutional Neural Networks. 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, Vol. 2: KALSIMIS, BIOIMAGING, ISBN 978-989-758-278-3, DOI: 10.5220/0006753601880196, pp. 188-196
    • A.Tomczyk, P. S. Szczepaniak, Knowledge Based Active Partition Approach for Heart Ventricle Recognition. 10th International Conference on Computer Recognition Systems CORES 2017, May 22-24, Polanica-Zdroj, Polska, Advances in Intelligent Systems and Computing, AISC, Vol. 578, 2018, (Eds. Marek Kurzynski, Michal Wozniak, Robert Burduk), DOI: 10.1007/978-3-319-59162-9, pp. 286-297
    • P. S. Szczepaniak, A. Tomczyk : From Pattern Recognition to Image Understanding. Artificial Intelligence and Soft Computing, Part I, Lecture Notes in Computer Science, LNAI 10245, (Eds. Rutkowski L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M.), Springer 2017, 16 th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017, June 11-15, Zakopane, ISBN 978-3-319-59062-2, DOI: 10.1007/978-3-319-59063-9_53, pp. 591 - 602
    • B. Stasiak, P. Tarasiuk, I. Michalska, A. Tomczyk, P. S. Szczepaniak, Localization of Demyelinating Plaques in MRI using Convolutional Neural Networks, In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 2: BIOIMAGING, pp. 55-64, ISBN: 978-989-758-215-8
    • A. Tomczyk, P. Spurek, M. Podgorski, K. Misztal, J. Tabor, Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, R. Burduk, K. Jackowski, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), Advances in Intelligent Systems and Computing, vol. 403, pp. 159-168, Springer International Publishing, 2015
    • M. Jadczyk, A. Tomczyk, Object Localization Using Active Partitions and Structural Description, Artificial Intelligence and Soft Computing - ICAISC 2015, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, J. M. Zurada (Eds.), Proceedings, Part I, LNAI 9119, pp. 727-736, Springer, 2015
    • A. Tomczyk, Potential Contour Ensembles, Schedae Informaticae, vol. 24, pp. 113-121, Jagiellonian University Press, Cracow, Poland, 2015
    • A. Tomczyk, Detection of Line Segments, Journal of Applied Computer Science, vol. 22, no. 2, pp. 81-90, Technical University Press, Lodz, Poland, 2014
    • J. Lazarek, P. S. Szczepaniak, A. Tomczyk, Method of Pattern Detection in Mammographic Images, In: J. Korbicz, M. Kowal (Eds.): Advances in Intelligent Systems and Computing 230, pp. 235-245, Springer Heidelberg New York Dordecht London, 2014
    • A. Tomczyk, P. S. Szczepaniak, Wykorzystanie wiedzy eksperckiej w sieci RBF na przykladzie zadania segmentacji obrazow medycznych, Sieci neuronowe w inzynierii biomedycznej, tom 9, W. Torbicz, R. Tadeusiewicz, J. Korbicz, L. Rutkowski, W. Duch (Eds.), pp. 191-203, Akademcika Oficyna Wydawnicza EXIT, 2013
    • A. Tomczyk, Application of Active Contours with Expert Knowledge to Heart Ventricle Segmentation, Journal of Applied Computer Science, vol. 21, no. 2, pp. 181-194, 2013
    • P. S. Szczepaniak, A. Tomczyk, Uniform Approach to Concept Interpretation, Active Contour Methods and Caee-Based Reasonig, In: L. Rutkowski, et al. (Eds.): Artificial Intelligence and Soft Computing. Lecture Notes in Artificial Intelligence - LNAI 7895, Part II, pp. 603-611, Springer-Verlag, Berlin, Heidelberg, 2013
    • A. Tomczyk, P. S. Szczepaniak, M. Pryczek, Cognitive hierarchical active partitions in distributed analysis of medical images, Journal of Ambient Intelligence and Humanized Computing, vol. 4, no. 3, pp. 357-367, Open access, Springer, 2012
    • P. Tracz, P. S. Szczepaniak, A. Tomczyk, Application of Active Region Model for Detection of Liver Cancer, Journal of Medical Informatics & Technologies, vol. 17, pp. 263-268, ISSN 1642-6037, 2011
    • A. Tomczyk, P. S. Szczepaniak, Knowledge Extraction for Heart Image Segmentation, Computer Recognition Systems 4, R. Burduk, M. Kurzynski, M. Wozniak, A. Zolnierek (Eds.), Advances in Intelligent and Soft Computing, vol. 95, pp. 579-586, Springer-Verlag, 2011
    • A. Tomczyk, P. S. Szczepaniak, Adaptive potential active contours, Pattern Analysis and Application, vol. 14, pp. 425-440, Springer-Verlag, London, 2011
    • S. Walczak, A. Tomczyk, P. S. Szczepaniak, Interpretation of Images and Their Sequences using Potential Active Contour Method, Computer Vision and Graphics, L. Bolc, R. Tadeusiewicz, L. J. Chmielewski, K. Wojciechowski (Eds.), Lecture Notes in Computer Science, vol. 6374, pp. 89-96, Springer, 2010
    • K. Jojczyk, M. Pryczek, A. Tomczyk, P. S. Szczepaniak, P. Grzelak, Cognitive Hierarchical Active Partitions using Patch Approach, Computer Vision and Graphics, L. Bolc, R. Tadeusiewicz, L. J. Chmielewski, K. Wojciechowski (Eds.), Lecture Notes in Computer Science, vol. 6374, pp. 35-42, Springer, 2010
    • M. Pryczek, A. Tomczyk, P. S. Szczepaniak, Active Partition Based Medical Image Understanding with Self Organized, Competitive Spatch Eduction, Journal of Applied Computer Science, vol. 18, no. 2, pp. 67-78, 2010
    • A. Tomczyk, M. Pryczek, S. Walczak, K. Jojczyk, P. S. Szczepaniak, Spatch Based Active Partitions with Linguistically Formulated Energy, Journal of Applied Computer Science, vol. 18, no. 1, pp. 87-115, 2010
    • S. Walczak, A. Tomczyk, P. S. Szczepaniak, Application of Contextual Potential Active Contours to Heart Ventricle Shape Detection, 7th Conference on Computer Methods and Systems (CMS), Krakow, Polska, Proceedings, Oprogramowanie Naukowo-Techniczne, pp. 391-396, 2009
    • A. Tomczyk, C. Wolski, P. S. Szczepaniak, A. Rotkiewicz, Analysis of Changes in Heart Ventricle Shape Using Contectual Potential Active Contours. Computer Recognition Systems 3, M. Kurzynski, M. Wozniak (Eds.), Advances in Intelligent and Soft Computing, Springer, pp. 397-405, 2009
    • A. Tomczyk, P. S. Szczepaniak, Segmentation of Heart Image Sequences Based on Human Way of Perception, Brain Informatics, N. Zhong, K. Li, S. Lu, L. Chen (Eds.), Lecture Notes in Computer Science, Springer, pp. 225-235, 2009
    • L. Pieta, A. Tomczyk, P. S. Szczepaniak, Active Contour Segmentation of Disjoint Objects Applied to Medical Images, Journal of Medical Informtics & Technologies , vol. 12, 2008, pp. 163-168, ISSN 1642-6037, 2008
    • L. Pieta, A. Tomczyk, P. S. Szczepaniak, Medical Image Analysis using Potential Active Contours, Information Technologies in Biomedicine, E. Pietka, J. Kawa (Eds.), Advances in Soft Computing, vol. 47, Springer, 2008
    • A. Tomczyk A., L. Pieta, P. S. Szczepaniak, Potential Active Contours - Basic Concepts, Mechanisms and Feature, Information Technologies in Biomedicine, E. Pietka, J. Kawa (Eds.), Advances in Soft Computing, vol. 47, pp. 66-73, Springer, 2008
    • A. Tomczyk, P. S. Szczepaniak, M. Pryczek, Active Contours as Knowledge Discovery Methods, Corrouble V., Takeda M., Suzuki E. (Eds.), Lecture Notes on Artificial Intelligence, vol. 4755, pp. 209-218, Springer-Verlag, Berlin - Heidelberg, 2007
    • A. Tomczyk, P. S. Szczepaniak, Contribution of Active Contour Approach to Image Understanding, Proceedings of the 2007 IEEE International Workshop on Imaging Systems and Techniques (IST), CD version only, ISBN: 1-3244-0965-9, 2007
    • A. Tomczyk, D. Puchala, K. Stokfiszewsk, P. S. Szczepaniak, System wspomagajacy diagnostyke obrazowa, Diagnostyka procesow i systemow (DPS), J. Korbicz, K. Patana, M. Kowal (Eds.), pp. 133-140, 2007
    • P. Lewandowski, A. Tomczyk, P. S. Szczepaniak, Visualization of 3-D Objects in Medicine - Selected Technical Aspects for Physicians, Journal of Medical Informatics and Technologies (MIT), vol. 11, pp. 59-67, 2007
    • A. Tomczyk, Image Segmentation using Adaptive Potential Active Contours, Computer Recognition Systems 2 (CORES), M. Kurzynski, E. Puchala, M. Wozniak, A. Zolnierek, (Eds.), Advances in Soft Computing, vol. 45, pp. 148-155, Springer, 2007
    • P. S. Szczepaniak, A. Tomczyk, M. Pryczek, Supervised Web Document Classification Using Discrete Transforms, Active Hypercontours and Expert Knowledge, International Workshop on Web Intelligence meets Brain Informatics (WImBI), Beijing, China, LNCS 4845, Springer, pp. 305-323, 2006
    • A. Tomczyk, P. S. Szczepaniak, Adaptive Potential Active Hypercontours, Artificial Intelligence and Soft Computing - ICAISC 2006, L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, J. Zurada (Eds.), Proceedings, LNAI 4029, pp. 692-701, Springer, 2006
    • A. Tomczyk, P. S. Szczepaniak, On the Relationship between Active Contours and Contextual Classification, 4th International Conference on Computer Recognition Systems (CORES), Rydzyna k. Leszna, Polska, Proceedings, Kurzynski M., Wozniak M., Puchala E, Zlonierek A. (Eds.), Springer, pp. 303-311. 2005
    • A. Tomczyk, Active Hypercontours and Contextual Classification, 5th International Conference on Inteligent Systems Design and Applications (ISDA), Wroclaw, Polska, Proceedings, Kwasnicka H., Paprzycki M. (Eds.), IEEE, pp. 256-261, 2005
    • A. Tomczyk, P. S. Szczepaniak, B. Lis, Generalized Multi-layer Kohonen Network and Its Application to Texture Reognition, Artificial Intelligence and Soft Computing, Rutkowski L., Siekmann J., R. Tadeusiewicz, Zadeh L. A. (Eds.), Proceedings, LNAI 3070, Springer, pp. 760-767, 2004
    • A. Tomczyk, P. S. Szczepaniak, Contour Scanning, Komputerowe Systemy Rozpoznawania (KOSYR), Kurzynski M., Puchala E., Wozniak M. (Eds.), Proceedings, pp. 201-208, 2003
    • B. Lis, P. S. Szczepaniak, A. Tomczyk, Multi-layer Kohonen Network and Texture Recognition, Soft Computing Tools, Techniques and Applications, Grzegorzewski P., Krawczak M., Zadrozny S. (Eds.), Proceedings, Akademicka Oficyna Wydawnicza EXIT, pp. 189-203, 2003
    • M. Rudnicki, A. Tomczyk, K. Sasiak, Numerical Optimisation Methods in Magnet Design, International Workshop on Optimisation and Inverse Problems in Electromagnetism, Rudnicki M., Wiak S. (Eds.), Proceedings, Kluver Academic Publishers, Netherlands, pp. 101-112, 2002
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Arkadiusz Tomczyk, Institute of Information Technology, Lodz University of Technology, e-mail arkadiusz.tomczyk@p.lodz.pl