RTU Research Outputs and Resources: Reasearch Staff

Information about Author

Name, Surname:

Andrejs Bondarenko

Department:

(33700) Lietišķo datorsistēmu institūts

Scientific Degree:

Doktors

E-mail:

Andrejs.Bondarenko(at)rtu.lv

ORCID: orcid-logo

0000-0002-4103-6814

Publications

26 items found, displaying 1 to 10.

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset
(2025)

Andrejs Bondarenko, Vilens Jumutcs, Antoine Netter, Fanny Duchateau, Henrique Mendonca Abrao, Saman Noorzadeh, Giuseppe Giacomello, Filippo Ferrari, Nicolas Bourdel, Ulrik Bak Kirk, Dmitrijs Bļizņuks
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

Coherent Analysis of the EEG to Study the Correlation of Neural Connections of the Cerebral Cortex with the Cognitive Functions of 6–8 Y.O. Children Having Difficulties in Learning and Behavioral Problems
(2023)

Konstantins Pudovskis, Nelli Tolmača, Andrejs Bondarenko, Viesturs Larins, Janis Vandans
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

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

At the Pulse of Time: Machine Vision in Retinal Videos
(2022)

Timothy Hamann, Maximilian Wiest, Antons Mislēvičs, Andrejs Bondarenko, Sandrine Zweifel
Article in a collection of scientific publications or a chapter in a monograph indexed in SCOPUS or WOS database

Development of Knowledge Extraction Methodology from Trained Artificial Neural Networks
(2020)

Andrejs Bondarenko
Doctoral Thesis

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

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
Full-text conference paper published in conference proceedings 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

Projects

3 items found, displaying 1 to 3.

Ādas vēža agrīnas diagnostikas precizitātes uzlabošana ar neironu tīkliem (34-12216-Z18/2-0052)
Informācijas tehnoloģijas

Dmitrijs Bļizņuks

Ātrā mikroorganismu aktivitātes noteikšana ar optisko bez-kontakta metodi (34-12216-Z18/2-0051)
Informācijas tehnoloģijas

Dmitrijs Bļizņuks

Ātra un rentabla, uz mašīnmācīšanos balstīta sistēma mikroorganismu augšanas analīzei
Citi

Dmitrijs Bļizņuks

Information about Author

Publications

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset (2025)

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

Coherent Analysis of the EEG to Study the Correlation of Neural Connections of the Cerebral Cortex with the Cognitive Functions of 6–8 Y.O. Children Having Difficulties in Learning and Behavioral Problems (2023)

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

At the Pulse of Time: Machine Vision in Retinal Videos (2022)

Development of Knowledge Extraction Methodology from Trained Artificial Neural Networks (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)

Embedded Neural Network System for Microorganisms Growth Analysis (2020)

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

Projects

Ādas vēža agrīnas diagnostikas precizitātes uzlabošana ar neironu tīkliem (34-12216-Z18/2-0052) Informācijas tehnoloģijas

Ātrā mikroorganismu aktivitātes noteikšana ar optisko bez-kontakta metodi (34-12216-Z18/2-0051) Informācijas tehnoloģijas

Ātra un rentabla, uz mašīnmācīšanos balstīta sistēma mikroorganismu augšanas analīzei Citi

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset
(2025)

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

Coherent Analysis of the EEG to Study the Correlation of Neural Connections of the Cerebral Cortex with the Cognitive Functions of 6–8 Y.O. Children Having Difficulties in Learning and Behavioral Problems
(2023)

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

At the Pulse of Time: Machine Vision in Retinal Videos
(2022)

Development of Knowledge Extraction Methodology from Trained Artificial Neural Networks
(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)

Embedded Neural Network System for Microorganisms Growth Analysis
(2020)

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

Ādas vēža agrīnas diagnostikas precizitātes uzlabošana ar neironu tīkliem (34-12216-Z18/2-0052)
Informācijas tehnoloģijas

Ātrā mikroorganismu aktivitātes noteikšana ar optisko bez-kontakta metodi (34-12216-Z18/2-0051)
Informācijas tehnoloģijas

Ātra un rentabla, uz mašīnmācīšanos balstīta sistēma mikroorganismu augšanas analīzei
Citi