RTU Zinātniskās darbības rezultāti un resursi: Personāls

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

Laser Speckle Time-Series Correlation Analysis for Bacteria Activity Detection
(2020)

Ilya Balmages, Dmitrijs Bļizņuks, Jānis Liepiņš, Stivens Zoļins, Alexey Lihachev
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

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

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
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

Optical Design Improvement for Non-Contact Skin Cancer Diagnostic Device
(2018)

Emilija-Vija Plorina, Dmitrijs Bļizņuks, Alexander Derjabo, Alexey Lihachev, Ilze Lihacova, Ilze Osina, Marta Lange
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Cloud Infrastracture for Skin Cancer Scalable Detection System
(2018)

Pāvels Osipovs, Dmitrijs Bļizņuks, Alexey Lihachev
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Image Quality Enhancement for Skin Cancer Optical Diagnostics
(2017)

Dmitrijs Bļizņuks, Ilona Kuzmina, Katrīna Šmite, Alexey Lihachev
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Informācija par autoru

Publikācijas

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis (2021)

Laser Speckle Time-Series Correlation Analysis for Bacteria Activity Detection (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)

Embedded Neural Network System for Microorganisms Growth Analysis (2020)

Optical Design Improvement for Non-Contact Skin Cancer Diagnostic Device (2018)

Cloud Infrastracture for Skin Cancer Scalable Detection System (2018)

Image Quality Enhancement for Skin Cancer Optical Diagnostics (2017)

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis
(2021)

Laser Speckle Time-Series Correlation Analysis for Bacteria Activity Detection
(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)

Embedded Neural Network System for Microorganisms Growth Analysis
(2020)

Optical Design Improvement for Non-Contact Skin Cancer Diagnostic Device
(2018)

Cloud Infrastracture for Skin Cancer Scalable Detection System
(2018)

Image Quality Enhancement for Skin Cancer Optical Diagnostics
(2017)