User Verification Based on Mouse Dynamics: a Comparison of Public Data Sets. - Margit Antal; Lehel Dénes-Fazakas (SACI, 2019)

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. - Andrea Koble; Ágnes Gyorfi; Szabolcs Csaholczi; Béla Surányi; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi (AFRICON, 2021)

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes. - Marcell Szántó; Gergo Strasser; László Szász; Lehel Dénes-Fazakas; György Eigner; Gábor Kertész; Levente Kovács (AQTR, 2022)

Numba-accelerated parameter estimation for artificial pancreas applications. - Máté Siket; Lehel Dénes-Fazakas; Levente Kovács; György Eigner (SISY, 2022)

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. - Lehel Dénes-Fazakas; Máté Siket; Gábor Kertész; László Szilágyi; Levente Kovács; György Eigner (SMC, 2022)

Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; Levente Kovács; György Eigner (Sensors, 2022)

Investigation of reward functions for controlling blood glucose level using reinforcement learning. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SACI, 2023)

Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. - Lehel Dénes-Fazakas; Levente Kovács; György Eigner; László Szilágyi (SMC, 2023)

Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. - Lehel Dénes-Fazakas; Máté Siket; László Szilágyi; György Eigner; Levente Kovács (SMC, 2023)

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. - Lehel Dénes-Fazakas; László Szilágyi; György Eigner; Olga Kosheleva; Martine Ceberio; Vladik Kreinovich (SSCI, 2023)

Uninorm-like parametric activation functions for human-understandable neural models. - Orsolya Csiszár; Luca Sára Pusztaházi; Lehel Dénes-Fazakas; Michael S. Gashler; Vladik Kreinovich; Gábor Csiszár (Knowl. Based Syst., 2023)

Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. - Lehel Dénes-Fazakas; Gyozo Dénes Fazakas; György Eigner; Levente Kovács; László Szilágyi (SACI, 2024)

Web Application Development for Diabetes Patients. - Miklós Nagy; Barbara Simon; László Szász; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Patrik Péter Süli; Levente Kovács; László Szilágyi (SACI, 2024)

Mobile Application Development for Diabetes Patient. - Csaba Potyok; Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; György Eigner; Milán Balázs; Levente Kovács; László Szilágyi (SACI, 2024)

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects. - Barbara Simon; Ádám Hartvég; Máté Siket; Lehel Dénes-Fazakas; Levente Kovács; László Szilágyi; Gábor Kertész; György Eigner (SISY, 2024)

Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; László Szilágyi; Levente Kovács; Amir Mosavi; György Eigner (Comput. Biol. Medicine, 2024)

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Levente Kovács; Eva-Henrietta Dulf; László Szilágyi; György Eigner (Sensors, 2024)

Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence. - Barbara Simon; Ádám Hartvég; Lehel Dénes-Fazakas; György Eigner; László Szilágyi (Inf., 2024)

Exploring Vision Transformer Architectures for Brain Tumor Classification: A Comprehensive Study. - Lehel Dénes-Fazakas; Barbara Simon; Ádám Hartvég; Szabolcs Csaholczi; György Eigner; Levente Kovács; László Szilágyi (SACI, 2025)