Search Results - "Tomanič, Tadej"

Robustness of diffuse reflectance spectra analysis by inverse adding doubling algorithm by Tomanič, Tadej, Rogelj, Luka, Milanič, Matija

“…Analysing diffuse reflectance spectra to extract properties of biological tissue requires modelling of light transport within the tissue, considering its…”
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Rapid extraction of skin physiological parameters from hyperspectral images using machine learning by Manojlović, Teo, Tomanič, Tadej, Štajduhar, Ivan, Milanič, Matija

“…Noninvasive assessment of skin structure using hyperspectral images has been intensively studied in recent years. Due to the high computational cost of the…”
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Effect of curvature correction on parameters extracted from hyperspectral images by Rogelj, Luka, Simončič, Urban, Tomanič, Tadej, Jezeršek, Matija, Pavlovčič, Urban, Stergar, Jošt, Milanič, Matija

“…Significance: Hyperspectral imaging (HSI) has emerged as a promising optical technique. Besides optical properties of a sample, other sample physical…”
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Effect of the identification group size and image resolution on the diagnostic performance of metabolic Alzheimer’s disease-related pattern by Štokelj, Eva, Tomše, Petra, Tomanič, Tadej, Dhawan, Vijay, Eidelberg, David, Trošt, Maja, Simončič, Urban

“…Background Alzheimer’s disease-related pattern (ADRP) is a metabolic brain biomarker of Alzheimer’s disease (AD). While ADRP is being introduced into research,…”
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Towards reliable hyperspectral imaging biomarkers of CT26 murine tumor model by Tomanic, Tadej, Stergar, Jost, Bozic, Tim, Markelc, Bostjan, Kranjc Brezar, Simona, Sersa, Gregor, Milanic, Matija

“…The non-invasive monitoring of tumor growth can offer invaluable diagnostic insights and enhance our understanding of tumors and their microenvironment…”
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Hyperspectral imaging of 4T1 mammary carcinomas grown in dorsal skinfold window chambers: spectral renormalization and fluorescence modeling by Tomanic, Tadej, Bozic, Tim, Markelc, Bostjan, Stergar, Jost, Sersa, Gregor, Milanic, Matija

“…Hyperspectral imaging (HSI) of murine tumor models grown in dorsal skinfold window chambers (DSWCs) offers invaluable insight into the tumor microenvironment…”
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Estimating quantitative physiological and morphological tissue parameters of murine tumor models using hyperspectral imaging and optical profilometry by Tomanic, Tadej, Rogelj, Luka, Stergar, Jost, Markelc, Bostjan, Bozic, Tim, Brezar, Simona Kranjc, Sersa, Gregor, Milanic, Matija

“…Understanding tumors and their microenvironment are essential for successful and accurate disease diagnosis. Tissue physiology and morphology are altered in…”
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