Myocardial Infarction Detection and Quantification Based on a Convolution Neural Network with Online Error Correction Capabilities. - Shui-Hua Wang; Gerry P. McCann; Ivan Tyukin (IJCNN, 2020)

Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data. - Tuan Aqeel Bohoran; Polydoros N. Kampaktsis; Laura McLaughlin; Jay Leb; Serafeim P. Moustakidis; Gerry P. McCann; Archontis Giannakidis (FIMH, 2023)

Embracing uncertainty flexibility: harnessing a supervised tree kernel to empower ensemble modelling for 2D echocardiography-based prediction of right ventricular volume. - Tuan Aqeel Bohoran; Polydoros N. Kampaktsis; Laura McLaughlin; Jay Leb; Serafeim P. Moustakidis; Gerry P. McCann; Archontis Giannakidis (ICMV, 2023)

Fast-tracking the Deep Residual Network Training for Arrhythmia Classification by Leveraging the Power of Dynamical Systems. - Tuan Aqeel Bohoran; Polydoros N. Kampaktsis; Gerry P. McCann; Archontis Giannakidis (SITIS, 2023)

MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. - Shuihua Wang; Ahmed M. S. E. K. Abdelaty; Kelly Parke; Jayanth Ranjit Arnold; Gerry P. McCann; Ivan Yu. Tyukin (Entropy, 2023)

Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume. - Tuan Aqeel Bohoran; Polydoros N. Kampaktsis; Laura McLaughlin; Jay Leb; Gerry P. McCann; Archontis Giannakidis (CoRR, 2024)

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels. - Aida Moafi; Danial Moafi; Evgeny M. Mirkes; Gerry P. McCann; Abbas S. Alatrany; Jayanth Ranjit Arnold; Mostafa Mehdipour-Ghazi (CoRR, 2025)