An open architecture patient monitoring system using standard technologies. - Péter Várady; Zoltán Benyó; Balázs Benyó (IEEE Trans. Inf. Technol. Biomed., 2002)

Characterization of the temporal pattern of cerebral blood flow oscillations. - Balázs Benyó; Gábor Lenzser; Béla Paláncz (IJCNN, 2004)

Robust Blood-Glucose Control using Mathematica. - Levente Kovács; Béla Paláncz; Balázs Benyó; László Török; Zoltán Benyó (EMBC, 2006)

Classification of Time Series Using Singular Values and Wavelet Subband Analysis with ANN and SVM Classifiers. - Balázs Benyó; Péter Somogyi; Béla Paláncz (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Design and Implementation of Enum-Based Services. - Balázs Benyó; Miklós F. Hatwágner; Tamás Heckenast; Katalin Kovács; Ágnes Varga; Norbert Varjasi (J. Univers. Comput. Sci., 2006)

Spatial accuracy of surgical robots. - Tamás Haidegger; Levente Kovács; Balázs Benyó; Zoltán Benyó (SACI, 2009)

Soft computing control of Type 1 diabetes described at molecular levels. - Levente Kovács; András György 002; Balázs Benyó; Zoltán Benyó; Adalbert Kovács (SACI, 2009)

Application of hybrid c-means clustering models in inhomogeneity compensation and MR brain image segmentation. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó; Zoltán Benyó (SACI, 2009)

The StoLPan view of the NFC ecosystem. - Balázs Benyó; András Vilmos; Gergely Fördös; Bálint Sódor; Levente Kovács (WTS, 2009)

Surgical Case Identification for an Image-Guided Interventional System. - Tamás Haidegger; Peter Kazanzides; Balázs Benyó; Levente Kovács; Zoltán Benyó (IROS, 2010)

A novel virtual machine based approach for hosting NFC services on mobile devices. - Balázs Benyó; Bálint Sódor; András Vilmos; Gergely Fördös (WMNC, 2010)

Asymptotic output tracking in blood glucose control. A case study. - Levente Kovács; Péter Szalay; Balázs Benyó; J. Geoffrey Chase (CDC/ECC, 2011)

Identification of the Root Canal from Dental Micro-CT Records. - László Szilágyi; Csaba Dobó-Nagy; Balázs Benyó (CIARP, 2011)

Towards unified electromagnetic tracking system assessment-static errors. - Tamás Haidegger; Gábor Fenyvesi; Beáta Sirokai; Marton Kelemen; Melinda Nagy; Barnabás Takács; Levente Kovács; Balázs Benyó; Zoltán Benyó (EMBC, 2011)

An image-guided tool to prevent hospital acquired infections. - Melinda Nagy; László Szilágyi; Ákos Lehotsky; Tamás Haidegger; Balázs Benyó (Image Processing, 2011)

Time delay compensation by fuzzy control in the case of master-slave telesurgery. - Radu-Emil Precup; Levente Kovács; Tamás Haidegger; Stefan Preitl; Adalbert Kovács; Balázs Benyó; Endre Borbely; Zoltán Benyó (SACI, 2011)

Intensity inhomogeneity compensation and segmentation of MR brain images using hybrid c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó; Zoltán Benyó (Biomed. Signal Process. Control., 2011)

A novel model-based PET detector block simulation approach. - Ákos Szlávecz; Tamás Bükki; Cecília O. Steinbach; Balázs Benyó (Biomed. Signal Process. Control., 2011)

Induced L2-norm minimization of glucose-insulin system for Type I diabetic patients. - Levente Kovács; Balázs Benyó; Jozsef Bokor; Zoltán Benyó (Comput. Methods Programs Biomed., 2011)

Quasi-Model-Based Control of Type 1 Diabetes Mellitus. - András György 002; Levente Kovács; Péter Szalay; Dániel András Drexler; Balázs Benyó; Zoltán Benyó (J. Electr. Comput. Eng., 2011)

Ubiquitous Tracking in the Medical Environment. - Gábor Fenyvesi; Tamás Haidegger; Levente Kovács; Balázs Benyó; Zoltán Benyó (FET, 2011)

Repeatable assessment protocol for electromagnetic trackers. - Tamás Haidegger; Beáta Sirokai; Gábor Fenyvesi; Levente Kovács; Balázs Benyó; Zoltán Benyó (Image-Guided Procedures, 2012)

Student attendance monitoring at the university using NFC. - Balázs Benyó; Bálint Sódor; Tibor Doktor; Gergely Fördös (WTS, 2012)

Efficient inhomogeneity compensation using fuzzy c-means clustering models. - László Szilágyi; Sándor M. Szilágyi; Balázs Benyó (Comput. Methods Programs Biomed., 2012)

Introduction - 8th IFAC Symposium. - David Dagan Feng; Ewart R. Carson; J. Geoffrey Chase; Balázs Benyó (Biomed. Signal Process. Control., 2014)

Practical estimation method of the optimal scanning protocol for 180° data acquisition in parallel SPECT imaging. - Ákos Szlávecz; Balázs Benyó (Biomed. Signal Process. Control., 2014)

Automatic Brain Tumor Segmentation in multispectral MRI volumes using a fuzzy c-means cascade algorithm. - László Szilágyi; László Lefkovits; Balázs Benyó (FSKD, 2015)

Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records. - László Szilágyi; László Lefkovits; Barna Iantovics; David Iclanzan; Balázs Benyó (ICONIP (4), 2015)

Blood glucose model for liver transplantation: Alteration of physiological parameters. - Jozsef Homlok; J. Geoffrey Chase; Balázs Benyó (SACI, 2016)

Specific validation analysis of stochastic ICING model based estimation of insulin sensitivity profile using clinical data. - Balázs Benyó; Kent W. Stewart; Jozsef Homlok; Christopher G. Pretty; J. Geoffrey Chase; Béla Paláncz (SMC, 2016)

Estimating the true respiratory mechanics during asynchronous pressure controlled ventilation. - Don Oliver Kannangara; F. Newberry; Sarah L. Howe; Vincent J. Major; Daniel P. Redmond; A. Szlavecs; Yeong Shiong Chiew; Christopher G. Pretty; Balázs Benyó; Geoffrey M. Shaw; J. Geoffrey Chase (Biomed. Signal Process. Control., 2016)

Respiratory mechanics assessment for reverse-triggered breathing cycles using pressure reconstruction. - Vincent J. Major; Simon Corbett; Daniel P. Redmond; Alex Beatson; Daniel Glassenbury; Yeong Shiong Chiew; Christopher G. Pretty; Thomas Desaive; Ákos Szlávecz; Balázs Benyó; Geoffrey M. Shaw; J. Geoffrey Chase (Biomed. Signal Process. Control., 2016)

Introduction. - Balázs Benyó; Marcos de Sales Guerra Tsuzuki; Olaf Simanski (Biomed. Signal Process. Control., 2017)

A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control. - Vincent Uyttendaele; Jennifer L. Knopp; Kent W. Stewart; Thomas Desaive; Balázs Benyó; Noémi Szabó-Némedi; Attila Illyés; Geoffrey M. Shaw; J. Geoffrey Chase (Biomed. Signal Process. Control., 2018)

Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care. - Jennifer L. Dickson; Kent W. Stewart; Christopher G. Pretty; Marine Flechet; Thomas Desaive; Sophie Penning; Bernard C. Lambermont; Balázs Benyó; Geoffrey M. Shaw; J. Geoffrey Chase (IEEE Trans. Biomed. Eng., 2018)

Glycemic control in the intensive care unit: A control systems perspective. - J. Geoffrey Chase; Balázs Benyó; Thomas Desaive (Annu. Rev. Control., 2019)

Editorial: Special Section on Biological Medical Systems. - J. Geoffrey Chase; Marcos de Sales Guerra Tsuzuki; Balázs Benyó; Thomas Desaive (Annu. Rev. Control., 2019)

The use of multi-energy photon emitters in 3D SPECT reconstruction. - Ákos Szlávecz; G. Hesz; Balázs Benyó (Biomed. Signal Process. Control., 2019)

Modelling intestinal glucose absorption in premature infants using continuous glucose monitoring data. - Jennifer L. Knopp; Matthew Signal; Deborah L. Harris; G. Marics; Philip J. Weston; Jane E. Harding; Peter Tóth-Heyn; Jozsef Homlok; Balázs Benyó; J. Geoffrey Chase (Comput. Methods Programs Biomed., 2019)

Preface: Special edition on analysis, modelling and in-silico control in medicine. - J. Geoffrey Chase; Thomas Desaive; Balázs Benyó; Cong Zhou (IFAC J. Syst. Control., 2019)

Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem. - Balázs Benyó; Béla Paláncz; Ákos Szlávecz; Bálint Szabó; Katalin Kovács; J. Geoffrey Chase (Comput. Methods Programs Biomed., 2023)

Applying Neural ODE-Based Cardiovascular Model Identification for Experimental Data Analysis. - Akos Antal; Bálint Szabó; Ákos Szlávecz; Katalin Kovács; J. Geoffrey Chase; Balázs Benyó (SACI, 2024)

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)

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)