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)

Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. - Athanasios Siouras; Serafeim P. Moustakidis; George Chalatsis; Tuan Aqeel Bohoran; Michael Hantes; Marianna Vlychou; Sotiris K. Tasoulis; Archontis Giannakidis; Dimitrios Tsaopoulos (Comput. Medical Imaging Graph., 2024)

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)