Sumaryczny Impact Factor: 42
Sumaryczne punkty MNiSW: 2985
Indeks Hirsha: Web of Science - 10, ResearchGate - 12, Scopus - 13, Google Scholar - 14
Wykaz ważniejszych publikacji:
- U. Zhunissova, R. Dzierżak, Z. Omiotek, V. Lytvynenko: A Novel COVID-19 Diagnosis Approach Utilizing a Comprehensive Set of Diagnostic Information (CSDI). Journal of Clinical Medicine 12(21), 6912 (2023). (IF=3,9, MEiN=140)
- M. Szafraniec, Z. Omiotek, D. Barnat-Hunek: Water absorption prediction of nanopolymer hydrophobized concrete surface using texture analysis and machine learning algorithms. Construction and Building Materials 375, 1-15 (2023). (IF=7,693, MEiN=140)
- R. Dzierżak, Z. Omiotek, E. Tkacz, S. Uhlig: Comparison of the Classification Results Accuracy for CT Soft Tissue and Bone Reconstructions in Detecting the Porosity of a Spongy Tissue. Journal of Clinical Medicine 11(15), 4526 (2022). (IF=3,9, MEiN=140)
- R. Dzierżak, Z. Omiotek: Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis. Sensors 22, 8189 (2022). (IF=3,9, MEiN=100)
- D. Barnat-Hunek, Z. Omiotek, M. Szafraniec, R. Dzierżak: An integrated texture analysis and machine learning approach for durability assessment of lightweight cement composites with hydrophobic coatings modified by nanocellulose. Measurement 179, 1-20 (2021). (IF=5,131, MEiN=200)
- Z. Omiotek, A. Kotyra: Flame image processing and classification using a pre-trained VGG16 model in combustion diagnosis. Sensors 21(2), 1-15 (2021). (IF=3,847, MEiN=100)
- Z. Omiotek, R. Dzierżak, A. Kępa: Fractal analysis as a method for feature extraction in detecting osteoporotic bone destruction. Fractals-Complex Geometry Patterns and Scaling in Nature and Society 29(4), 1-15 (2021). (IF=4,536, MEiN=100)
- Z. Omiotek, A. Smolarz: Combustion process monitoring based on flame intensity time series. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 235(6), 809-822 (2021). (IF=1,714, MEiN=40)
- Z. Omiotek: Wybrane problemy modelowania predykcyjnego w diagnostyce technicznej i medycznej. Seria: Monografie – Politechnika Lubelska, ISBN: 978-83-7947-455-4. Wydawnictwo Politechniki Lubelskiej, (2021).
- Z. Omiotek, O. Stepanchenko, W. Wójcik, W. Legieć, Małgorzata Szatkowska: The use of the Hellwig’s method for feature selection in the detection of myeloma bone destruction based on radiographic images. Biocybernetics and Biomedical Engineering 39(2), 328-338 (2019). (IF=2,159, MEiN=100)
- Z. Omiotek, R. Dzierżak, S. Uhlig: Fractal analysis of the computed tomography images of vertebrae on the thoraco-lumbar region in diagnosing osteoporotic bone damage. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 233(12), 1269-1281 (2019). (IF=1,317, MEiN=40)
- Z. Omiotek: Improvement of the classification quality in detection of Hashimoto’s disease with a combined classifier approach. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 231(8), 774‑782 (2017). (IF=1,124, MEiN=20)
- Z. Omiotek: Fractal analysis of the grey and binary images in diagnosis of Hashimoto’s thyroiditis. Biocybernetics and Biomedical Engineering 37(4), 655-665 (2017). (IF=1,374, MEiN=15)
- Z. Omiotek, A. Burda, W. Wójcik: The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto’s disease. Expert Systems with Applications 40(16), 6684-6689 (2013). (IF=3,444, MEiN=35)
