Kirill Bogomasov

According to our database, Kirill Bogomasov authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Let's Talk About Image Quality Improvement in Underwater Images for Object Detection.

Kirill Bogomasov, Tim Geuer, Stefan Conrad

Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Predicting Captions and Detecting Concepts for Medical Images: Contributions of the DBS-HHU Team to ImageCLEFmedical Caption 2024.

Heiko Kauschke, Kirill Bogomasov, Stefan Conrad

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Process Automation and Quality Assurance in Computer Vision for Real World Applications.

Kirill Bogomasov

PhD thesis, 2023

Efficient Iterative Semi-supervised Object Detection Training for Counting of Fruits and Vegetables.

Kirill Bogomasov, Stefan Conrad

Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, 2023

InfEval: Application for Object Detection Analysis.

Kirill Bogomasov, Tim Geuer, Stefan Conrad

Proceedings of the Advances in Information Retrieval, 2023

2022

Monitoring Coral Reefs Using Faster R-CNN.

Felix Kerlin, Kirill Bogomasov, Stefan Conrad

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Orientation Estimation in MRI of Prostate Cancer Patients: When Simple Models Perform Better.

Kirill Bogomasov, Thomas Grings, Christian Rubbert, Lars Schimmöller, Stefan Conrad

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2021

Efficient Fruit and Vegetable Classification and Counting for Retail Applications Using Deep Learning.

Kirill Bogomasov, Stefan Conrad

Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021

2020

Enhanced Localization and Classification of Coral Reef Structures and Compositions.

Kirill Bogomasov, Philipp Grawe, Stefan Conrad

Proceedings of the Working Notes of CLEF 2020, 2020

2019

A two-staged Approach for Localization and Classification of Coral Reef Structures and Compositions.

Kirill Bogomasov, Philipp Grawe, Stefan Conrad

Proceedings of the Working Notes of CLEF 2019, 2019

Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images.

Kirill Bogomasov, Daniel Braun, Andreas Burbach, Ludmila Himmelspach, Stefan Conrad

Proceedings of the Working Notes of CLEF 2019, 2019

2018

Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images.

Kirill Bogomasov, Ludmila Himmelspach, Gerhard Klassen, Martha Tatusch, Stefan Conrad

Proceedings of the Working Notes of CLEF 2018, 2018

2016

FSC - FloodFill Sky Classification.

Kirill Bogomasov

Proceedings of the 28th GI-Workshop Grundlagen von Datenbanken, Nörten Hardenberg, 2016