RTU Research Outputs and Resources: Reasearch Staff

Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images
(2025)

Ilya Balmages, Dmitrijs Bļizņuks, Inese Poļaka, Alexey Lihachev, Ilze Lihacova
Scientific article indexed in SCOPUS or WOS database

Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale
(2025)

Ilya Balmages, Katrīna Šmite, Dmitrijs Bļizņuks, Aigars Reinis, Alexey Lihachev, Ilze Lihacova
Scientific article indexed in SCOPUS or WOS database

Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method
(2024)

Ilya Balmages, Aigars Reinis, Svjatoslavs Kistkins, Dmitrijs Bļizņuks, Alexey Lihachev, Ilze Lihacova
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Autofluorescence Imaging of Sporadic and Basal Cell Nevus Syndrome-Associated Basal Cell Carcinomas
(2024)

Emilija Vija Plorina, Alexey Lihachev, Norbert Kiss, Dmitrijs Bļizņuks, Ilze Lihacova, András Bánvölgyi
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Development of Reflection Removal Methods for Automated Bacterial Colony Counting Using Computer Vision Technologies
(2024)

Artjoms Supoņenkovs, Dmitrijs Bļizņuks, Roberts Tarvids, Alexey Lihachev
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Determination of Operating Parameters of Fungal Growth Signals Analyzed by Laser Speckle Contrast Imaging
(2024)

Ilya Balmages, Aigars Reinis, Svjatoslavs Kistkins, Janis Liepins, Maksym Pogorielov, Viktoriia Korniienko, Kateryna Diedkova, Dmitrijs Bļizņuks, Alexey Lihachev, Ilze Lihacova
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Use of the Speckle Imaging Sub-Pixel Correlation Analysis in Revealing a Mechanism of Microbial Colony Growth
(2023)

Ilya Balmages, Jānis Liepiņš, Ernests Tomass Auzins, Dmitrijs Bļizņuks, Edgars Baranovics, Ilze Lihacova, Alexey Lihachev
Scientific article indexed in SCOPUS or WOS database

Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1
(2023)

Emilija Vija Plorina, Kristine Saulus, Ainars Rudzitis, Norbert Kiss, Márta Medvecz, Tatjana Linova, Dmitrijs Bļizņuks, Alexey Lihachev, Ilze Lihacova
Scientific article indexed in SCOPUS or WOS database

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation
(2023)

Vilens Jumutcs, Artjoms Supoņenkovs, Andrejs Bondarenko, Dmitrijs Bļizņuks, Alexey Lihachev
Scientific article indexed in SCOPUS or WOS database

Tools for Classification of Growing/Non-Growing Bacterial Colonies Using Laser Speckle Imaging
(2023)

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

Information about Author

Publications

Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images
(2025)

Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale
(2025)

Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method
(2024)

Autofluorescence Imaging of Sporadic and Basal Cell Nevus Syndrome-Associated Basal Cell Carcinomas
(2024)

Development of Reflection Removal Methods for Automated Bacterial Colony Counting Using Computer Vision Technologies
(2024)

Determination of Operating Parameters of Fungal Growth Signals Analyzed by Laser Speckle Contrast Imaging
(2024)

Use of the Speckle Imaging Sub-Pixel Correlation Analysis in Revealing a Mechanism of Microbial Colony Growth
(2023)

Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1
(2023)

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation
(2023)

Tools for Classification of Growing/Non-Growing Bacterial Colonies Using Laser Speckle Imaging
(2023)

Information about Author

Publications

Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images (2025)

Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale (2025)

Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method (2024)

Autofluorescence Imaging of Sporadic and Basal Cell Nevus Syndrome-Associated Basal Cell Carcinomas (2024)

Development of Reflection Removal Methods for Automated Bacterial Colony Counting Using Computer Vision Technologies (2024)

Determination of Operating Parameters of Fungal Growth Signals Analyzed by Laser Speckle Contrast Imaging (2024)

Use of the Speckle Imaging Sub-Pixel Correlation Analysis in Revealing a Mechanism of Microbial Colony Growth (2023)

Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1 (2023)

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation (2023)

Tools for Classification of Growing/Non-Growing Bacterial Colonies Using Laser Speckle Imaging (2023)

Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images
(2025)

Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale
(2025)

Comparison of Algorithms for Monitoring the Behavior of Microorganisms based on Remote Laser Speckle Method
(2024)

Autofluorescence Imaging of Sporadic and Basal Cell Nevus Syndrome-Associated Basal Cell Carcinomas
(2024)

Development of Reflection Removal Methods for Automated Bacterial Colony Counting Using Computer Vision Technologies
(2024)

Determination of Operating Parameters of Fungal Growth Signals Analyzed by Laser Speckle Contrast Imaging
(2024)

Use of the Speckle Imaging Sub-Pixel Correlation Analysis in Revealing a Mechanism of Microbial Colony Growth
(2023)

Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1
(2023)

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation
(2023)

Tools for Classification of Growing/Non-Growing Bacterial Colonies Using Laser Speckle Imaging
(2023)