EEG Data Fusion for Improving Accuracy of Binary Classification. - Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov; Natalia Zagorodna; Larisa Shumova (EFMI-STC, 2019)

A Personal Mobile Sensing System for Motor Symptoms Assessment of Parkinson's Disease. - Tetiana Biloborodova; Inna Skarga-Bandurova; Viktoriia Derevianchenko; Illia Skarha-Bandurov; Halyna Tatarchenko; Victoria Mokhonko (FiCloud Workshops, 2019)

Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson's Disease. - Tetiana Biloborodova; Inna Skarga-Bandurova; Oleksandr Berezhnyi; Maksym Nesterov; Illia Skarha-Bandurov (ICITS, 2020)

A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets. - Tetiana Biloborodova; Inna Skarga-Bandurova; Mark Koverha; Illia Skarha-Bandurov; Yelyzaveta Yevsieieva (EFMI-STC, 2021)

Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone. - Tetiana Biloborodova; Inna Skarga-Bandurova; Igor Kotsiuba; Illia Skarha-Bandurov (MIE, 2021)

A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection. - Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov; Yehor Boltov; Maryna Derkach (pHealth, 2021)

ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network. - Tetiana Biloborodova; Inna Skarga-Bandurova; Illia Skarha-Bandurov; Yelyzaveta Yevsieieva; Oleh Biloborodov (MIE, 2022)

Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images. - Bríd Brosnan; Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov (ICIMTH, 2023)

An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images. - Bríd Brosnan; Inna Skarga-Bandurova; Tetiana Biloborodova; Illia Skarha-Bandurov (MIE, 2023)