RESEARCHER PROFILE
Zbigniew Omiotek
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Z
Lublin University of Technology
Zbigniew Omiotek works in Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, AI in cancer detection, Artificial Intelligence in Healthcare. Recorded institutional associations include Lublin University of Technology.
124Publications
516Citations
12H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Flame Image Processing and Classification Using a Pre-Trained VGG16 Model in Combustion Diagnosis
2021 · 58 citationsApplication of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis
2022 · 58 citationsThe use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto’s disease
2013 · 29 citationsAn integrated texture analysis and machine learning approach for durability assessment of lightweight cement composites with hydrophobic coatings modified by nanocellulose
2021 · 29 citationsImprovement of the classification quality in detection of Hashimoto’s disease with a combined classifier approach
2017 · 24 citationsFractal analysis of the grey and binary images in diagnosis of Hashimoto's thyroiditis
2017 · 23 citationsPolarimetric characterisation of histological section of skin with pathological changes
2016 · 20 citationsThe use of the Hellwig's method for feature selection in the detection of myeloma bone destruction based on radiographic images
2018 · 19 citationsZASTOSOWANIE METODY HELLWIGA DO REDUKCJI WYMIARU PRZESTRZENI CECH OBRAZÓW USG TARCZYCY
2014 · 18 citationsAutomated method for structural segmentation of nasal airways based on cone beam computed tomography
2017 · 17 citationsFractal analysis of the computed tomography images of vertebrae on the thoraco-lumbar region in diagnosing osteoporotic bone damage
2019 · 16 citationsThe use of statistical characteristics of measured signals to increasing the reliability of the rhinomanometric diagnosis
2016 · 12 citationsPhysical-mathematical model of optical radiation interaction with biological tissues
2017 · 12 citationsThe Influence of the Normalisation of Spinal CT Images on the Significance of Textural Features in the Identification of Defects in the Spongy Tissue Structure
2019 · 9 citationsFRACTAL ANALYSIS AS A METHOD FOR FEATURE EXTRACTION IN DETECTING OSTEOPOROTIC BONE DESTRUCTION
2020 · 9 citationsWater absorption prediction of nanopolymer hydrophobized concrete surface using texture analysis and machine learning algorithms
2023 · 9 citationsLaser Müller matrix diagnostics of changes in the optical anisotropy of biological tissues
2019 · 8 citationsMethods and computer tools for identifying diabetes-induced fundus pathology
2019 · 8 citationsCloud-based mobility management in heterogeneous wireless networks
2017 · 7 citationsApplication of Selected Classification Methods for Detection of Hashimoto’s Thyroiditis on the Basis of Ultrasound Images
2015 · 6 citationsAdaptive compression methods of data based on Fibonacci linear forms
2017 · 6 citationsInformation system for recognition of biological objects in the RGB spectrum range
2019 · 6 citationsROC analysis of informativeness of mapping of the ellipticity distributions of blood plasma films laser images polarization in the evaluation of pathological changes in the breast
2020 · 6 citationsComparison of the Classification Results Accuracy for CT Soft Tissue and Bone Reconstructions in Detecting the Porosity of a Spongy Tissue
2022 · 6 citationsAutomated system of audio components analysis and synthesis
2019 · 5 citations