Oleksandr Davydko

According to our database, Oleksandr Davydko authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

SRFAMap: A Method for Mapping Integrated Gradients of a CNN Trained with Statistical Radiomic Features to Medical Image Saliency Maps.

Oleksandr Davydko, Vladimir Pavlov, Przemyslaw Biecek, Luca Longo

Proceedings of the Explainable Artificial Intelligence, 2024

Assesing the Interpretability of the Statistical Radiomic Features via Image Saliency Maps in Medical Image Classification Tasks.

Oleksandr Davydko

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

2023

Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method.

Oleksandr Davydko, Vladimir Pavlov, Luca Longo

Proceedings of the Explainable Artificial Intelligence, 2023

Lung images Classification with Textural Characteristics and Hybrid Classification Schemes.

Oleksandr Davydko

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

2022

A Pipeline for the Diagnosis and Classification of Lung Lesions for Patients with COVID-19.

Oleksandr Davydko, Olena Horodetska, Ievgen Nastenko, Yaroslav Hladkyi, Vladimir Pavlov, Luca Longo, Mykola Linnik, Oleksandr Galkin

Proceedings of the 17th IEEE International Conference on Computer Sciences and Information Technologies, 2022

2021

Class-Oriented Features Selection Technology in Medical Images Classification Problem on the Example of Distinguishing Between Tuberculosis Sensitive and Resistant Forms.

Oleksandr Matviichuk, Olena Nosovets, Mykola Linnik, Oleksandr Davydko, Vladimir Pavlov, Ievgen Nastenko

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021

Hybrid Classifiers Based on CNN, LSOF, GMDH in COVID-19 Pneumonic Lesions Types Classification Task.

Oleksandr Davydko, Yaroslav Hladkyi, Mykola Linnik, Olena Nosovets, Vladimir Pavlov, Ievgen Nastenko

Proceedings of the IEEE 16th International Conference on Computer Sciences and Information Technologies, 2021