Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS. - Petro Liashchynskyi; Pavlo Liashchynskyi (CoRR, 2019)

Comparison of Deep Neural Network Learning Algorithms for Biomedical Image Processing. - Oleh Berezsky; Petro Liashchynskyi; Oleh Pitsun; Pavlo Liashchynskyi; Mykola Berezkyy (IDDM, 2022)

Application Of MLOps Practices For Biomedical Image Classification. - Oleh Berezsky; Oleh Pitsun; Grygory Melnyk; Yuriy Batko; Bohdan Derysh; Petro Liashchynskyi (IDDM, 2022)

Computational Intelligence in Medicine. - Oleh Berezsky; Oleh Pitsun; Petro Liashchynskyi; Bohdan Derysh; Natalia Batryn (ISDMCI, 2022)

Method and Software Tool for Generating Artificial Databases of Biomedical Images Based on Deep Neural Networks. - Oleh Berezsky; Petro Liashchynskyi; Oleh Pitsun; Grygoriy Melnyk (IDDM, 2023)

MLOps Approach for Automatic Segmentation of Biomedical Images. - Oleh Berezsky; Oleh Pitsun; Grygoriy Melnyk; Yuriy Batko; Petro Liashchynskyi; Mykola Berezkyy (IDDM, 2023)

Synthesis of Biomedical Images Based on Generative Intelligence Tools. - Oleh Berezsky; Petro Liashchynskyi; Grygoriy Melnyk; Maksym Dombrovskyi; Mykola Berezkyy (IDDM, 2024)

Biomedical Image Datasets. - Oleh Berezsky; Grygoriy Melnyk; Petro Liashchynskyi; Oleh Pitsun (ISDMCI (2), 2024)

Synthesis of Convolutional Neural Network architectures for biomedical image classification. - Oleh Berezsky; Petro Liashchynskyi; Oleh Pitsun; Ivan Izonin (Biomed. Signal Process. Control., 2024)

Integrating сonvolutional neural networks and autoencoders for skin lesion diagnosis. - Kateryna Bilyk; Olga Narushynska; Petro Liashchynskyi; Vasyl Teslyuk (MoMLeT, 2025)