RTU Zinātniskās darbības rezultāti un resursi: Personāls

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
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

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
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

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
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Embedded Neural Network System for Microorganisms Growth Analysis
(2020)

Dmitrijs Bļizņuks, Jurijs Čižovs, Andrejs Bondarenko, Dilshat Uteshev, Jānis Liepiņš, Stivens Zoļins, Alexey Lihachev, Ilze Lihacova
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks
(2019)

Dmitrijs Bļizņuks, Aleksey Lihachev, Janis Liepins, Dilshat Uteshev, Jurijs Čižovs, Andrey Bondarenko, Katrīna Šmite
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images
(2019)

Katrīna Šmite, Dmitrijs Bļizņuks, Dilshat Uteshev, Ilze Lihacova, Aleksey Lihachev, Jurijs Čižovs, Andrey Bondarenko
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Informācija par autoru

Publikācijas

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

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)

Embedded Neural Network System for Microorganisms Growth Analysis (2020)

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks (2019)

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images (2019)

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

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)

Embedded Neural Network System for Microorganisms Growth Analysis
(2020)

Automated Microorganisms Activity Detection on the Early Growth Stage Using Artificial Neural Networks
(2019)

Towards to Deep Neural Network Application with Limited Training Data: Synthesis of Melanoma's Diffuse Reflectance Spectral Images
(2019)