Comparison of three artificial intelligence methods for predicting 90% quantile interval of future insulin sensitivity of intensive care patients. - Bálint Szabó; Ákos Szlávecz; Béla Paláncz; Omer S. Alkhafaf; Ameer B. Alsultani; Katalin Kovács; J. Geoffrey Chase; Balázs Benyó (IFAC J. Syst. Control., 2024)

Specific Transfer Learning to Improve Quantile Registration Neural Network Performance for Insulin Sensitivity Temporal Forecasting. - Omer S. Alkhafaf; J. Geoffrey Chase; Balázs Benyó (SACI, 2025)

A Multi-Feature Quantile Regression Approach for Insulin Sensitivity Prediction. - Ameer B. Alsultani; Omer S. Alkhafaf; J. Geoffrey Chase; Balázs Benyó (SACI, 2025)

Eit Image Reconstruction of Mathematical Phantoms and Patient Recordings for Supporting Mechanical Ventilation. - Balázs Házi; Omer S. Alkhafaf; Ákos Szlávecz (SACI, 2025)

Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model. - Omer S. Alkhafaf; J. Geoffrey Chase; Balázs Benyó (Int. J. Medical Informatics, 2025)