RTU Zinātniskās darbības rezultāti un resursi: Personāls

Dynamic Laser Speckle Imaging for Estimation of Microbial Colony Growth in a Noisy Environment
(2023)

Alexey Lihachev, Ilya Balmages, Janis Liepins, Dmitrijs Bļizņuks, Ilze Lihacova
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation
(2022)

Vilen Jumutc, Dmitrijs Bļizņuks, Alexey Lihachev
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

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

Laser Speckle Imaging Reveals Bacterial Activity within Colony
(2021)

Ilya Balmages, Janis Liepins, Dmitrijs Bļizņuks, Stivens Zolins, Ilze Lihacova, Alexey Lihachev
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

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

Ilya Balmages, Janis Liepins, Stivens Zolins, Dmitrijs Bļizņuks, Ilze Lihacova, Alexey Lihachev
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

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

Alexey Lihachev, Dmitrijs Bļizņuks, Jānis Liepiņš, Ilze Lihacova
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

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

Informācija par autoru

Publikācijas

Dynamic Laser Speckle Imaging for Estimation of Microbial Colony Growth in a Noisy Environment (2023)

Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation (2022)

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 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)

Dynamic Laser Speckle Imaging for Estimation of Microbial Colony Growth in a Noisy Environment
(2023)

Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation
(2022)

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 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)