RTU Research Outputs and Resources: Reasearch Staff

Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images
(2022)

Ilze Lihacova, Andrejs Bondarenko, Jurijs Čižovs, Dilshat Uteshev, Dmitrijs Bļizņuks, Norbert Kiss, Alexey Lihachev
Scientific article indexed in SCOPUS or WOS database

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Ilya Balmages, Janis Liepins, Dmitrijs Bļizņuks, Stivens Zolins, Ilze Lihacova, Alexey Lihachev
Scientific article indexed in SCOPUS or WOS database

Laser Speckle Imaging for Early Detection of Microbial Colony Forming Units
(2021)

Ilya Balmages, Janis Liepins, Stivens Zolins, Dmitrijs Bļizņuks, Ilze Lihacova, Alexey Lihachev
Scientific article indexed in SCOPUS or WOS database

Laser Applications for Estimation of Microbial Activity and Investigation of NIR Skin Autofluorescence
(2021)

Alexey Lihachev, Dmitrijs Bļizņuks, Jānis Liepiņš, Ilze Lihacova
Scientific article indexed in SCOPUS or WOS database

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis
(2021)

Szabolcs Bozsányi, Klára Farkas, András Bánvölgyi, Kende Lorincz, Luca Fésus, Pálma Anker, Sára Zakariás, Antal Jobbágy, Ilze Lihacova, Alexey Lihachev, Marta Lange, Dmitrijs Bļizņuks, Márta Medvecz, Norbert Kiss, Norbert M. Wikonkál
Scientific article indexed in SCOPUS or WOS database

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Ilya Balmages, Janis Liepins, Dmitrijs Bļizņuks, Stivens Zolins, Ilze Lihacova, Alexey Lihachov
Scientific article indexed in SCOPUS or WOS database

Deep Learning Model Deploying on Embedded Skin Cancer Diagnostic Device
(2020)

Dmitrijs Bļizņuks, Evija Cibuļska, Andrejs Bondarenko, Jurijs Čižovs, Ilze Lihacova
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Use of Machine Learning Approaches to Improve Non-invasive Skin Melanoma Diagnostic Method in Spectral Range 450 - 950nm
(2020)

Andrejs Bondarenko, Jurijs Čižovs, Dilshat Uteshev, Dmitrijs Bļizņuks, Alexey Lihachev, Ilze Lihacova
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Identification of the Most Informative Wavelengths for Non-invasive Melanoma Diagnostics in Spectral Region from 450 to 950 nm
(2020)

Dmitrijs Bļizņuks, Jurijs Čižovs, Andrejs Bondarenko, Dilshat Uteshev, Alexey Lihachev, Ilze Lihacova
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Challenges of Automatic Processing of Large Amount of Skin Lesion Multispectral Data
(2020)

Ilze Lihacova, Evija Cibuļska, Alexey Lihachev, Marta Lanģe, Emilija-Vija Ploriņa, Dmitrijs Bļizņuks, Aleksandrs Derjabo, Norbert Kiss
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Information about Author

Publications

Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images
(2022)

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Laser Speckle Imaging for Early Detection of Microbial Colony Forming Units
(2021)

Laser Applications for Estimation of Microbial Activity and Investigation of NIR Skin Autofluorescence
(2021)

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis
(2021)

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Deep Learning Model Deploying on Embedded Skin Cancer Diagnostic Device
(2020)

Use of Machine Learning Approaches to Improve Non-invasive Skin Melanoma Diagnostic Method in Spectral Range 450 - 950nm
(2020)

Identification of the Most Informative Wavelengths for Non-invasive Melanoma Diagnostics in Spectral Region from 450 to 950 nm
(2020)

Challenges of Automatic Processing of Large Amount of Skin Lesion Multispectral Data
(2020)

Information about Author

Publications

Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images (2022)

Laser Speckle Imaging Reveals Bacterial Activity within Colony (2021)

Laser Speckle Imaging for Early Detection of Microbial Colony Forming Units (2021)

Laser Applications for Estimation of Microbial Activity and Investigation of NIR Skin Autofluorescence (2021)

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis (2021)

Laser Speckle Imaging Reveals Bacterial Activity within Colony (2021)

Deep Learning Model Deploying on Embedded Skin Cancer Diagnostic Device (2020)

Use of Machine Learning Approaches to Improve Non-invasive Skin Melanoma Diagnostic Method in Spectral Range 450 - 950nm (2020)

Identification of the Most Informative Wavelengths for Non-invasive Melanoma Diagnostics in Spectral Region from 450 to 950 nm (2020)

Challenges of Automatic Processing of Large Amount of Skin Lesion Multispectral Data (2020)

Multi-Class CNN for Classification of Multispectral and Autofluorescence Skin Lesion Clinical Images
(2022)

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Laser Speckle Imaging for Early Detection of Microbial Colony Forming Units
(2021)

Laser Applications for Estimation of Microbial Activity and Investigation of NIR Skin Autofluorescence
(2021)

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis
(2021)

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Deep Learning Model Deploying on Embedded Skin Cancer Diagnostic Device
(2020)

Use of Machine Learning Approaches to Improve Non-invasive Skin Melanoma Diagnostic Method in Spectral Range 450 - 950nm
(2020)

Identification of the Most Informative Wavelengths for Non-invasive Melanoma Diagnostics in Spectral Region from 450 to 950 nm
(2020)

Challenges of Automatic Processing of Large Amount of Skin Lesion Multispectral Data
(2020)