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Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm

Pubblicazioni

Musculoskeletal health and capability wellbeing: Associations between the HAQ-DI, ICECAP-A and ICECAP-O measures in a population survey

Autori: Márta Péntek, Gyula Poór, László Gulácsi, Zsombor Zrubka, Valentin Brodszky, Fanni Rencz, Ágota Dobos, Miklós Farkas, Levente Kovács, PetraBaji
Pubblicato in: Musculoskeletal Science and Practice, 2021, ISSN 2468-7812
Editore: Elsevier
DOI: 10.1016/j.msksp.2021.102420

Control of Diabetes Mellitus by Advanced Robust Control Solution

Autori: Levente Kovacs, Gyorgy Eigner, Mate Siket, Laszlo Barkai
Pubblicato in: IEEE Access, Issue 7, 2019, Page(s) 125609-125622, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2019.2938267

Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study

Autori: Ivan Sala-Mira; Mate Siket; Levente Kovács; Gyorgy Eigner; Jorge Bondia
Pubblicato in: IEEE Access, Issue Vol 9., 2021, Page(s) 143549-143563, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3120880

Comparing the measurement properties of the ICECAP-A and ICECAP-O instruments in ages 50-70: a cross-sectional study on a representative sample of the Hungarian general population

Autori: Petra Baji, Miklós Farkas, Ágota Dobos, Zsombor Zrubka, Levente Kovács, László Gulácsi, Márta Péntek
Pubblicato in: European Journal of Health Economics, 2021, ISSN 1618-7598
Editore: Springer Verlag
DOI: 10.1007/s10198-021-01325-w

Experimental Closed-Loop Control of Breast Cancer in Mice

Autori: Levente Kovács, Bence Czakó , Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler
Pubblicato in: Complexity, Issue Volume 2022, 2022, ISSN 1076-2787
Editore: John Wiley & Sons Inc.
DOI: 10.1155/2022/9348166

State and Parameter Estimation of a Mathematical Carcinoma Model under Chemotherapeutic Treatment

Autori: Máté Siket, György Eigner, Dániel András Drexler, Imre Rudas, Levente Kovács
Pubblicato in: Applied Sciences, Issue 10/24, 2020, Page(s) 9046, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app10249046

The Use of Extreme Value Statistics to Characterize Blood Glucose Curves and Patient Level Risk Assessment of Patients With Type I Diabetes

Autori: Mátyás Szigeti, Tamás Ferenci, Levente Kovács
Pubblicato in: Journal of Diabetes Science and Technology, 2021, ISSN 1932-2968
Editore: Diabetes Technology Society
DOI: 10.1177/19322968211059547

Tumor dynamics modeling based on formalreaction kinetics

Autori: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Pubblicato in: Acta Polytechnica Hungarica, Issue 16/10, 2019, Page(s) 31-44, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/aph.16.10.2019.10.3

State of the Art in Adoption of Contact Tracing Apps and Recommendations Regarding Privacy Protection and Public Health: Systematic Review

Autori: Katarzyna Kolasa, Francesca Mazzi, Ewa Leszczuk-Czubkowska, Zsombor Zrubka, Márta Péntek
Pubblicato in: JMIR Mhealth Uhealth, 2021, ISSN 2291-5222
Editore: JMIR Publications
DOI: 10.2196/23250

Positive nonlinear control of tumor growth using angiogenic inhibition * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681).

Autori: Dániel András Drexler, Johanna Sápi, Levente Kovács
Pubblicato in: IFAC-PapersOnLine, Issue 50/1, 2017, Page(s) 15068-15073, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2017.08.2522

Optimal discrete time control of antiangiogenic tumor therapy * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). D.A. Drexler was also supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Progr

Autori: Dániel András Drexler, Johanna Sápi, Levente Kovács
Pubblicato in: IFAC-PapersOnLine, Issue 50/1, 2017, Page(s) 13504-13509, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2017.08.2337

Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab

Autori: Dániel András Drexler, Johanna Sápi, Levente Kovács
Pubblicato in: Complexity, Issue 2017, 2017, Page(s) 1-10, ISSN 1076-2787
Editore: John Wiley & Sons Inc.
DOI: 10.1155/2017/5985031

A bicompartmental dynamic tumor growth model * *This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 679681). Dávid Csercsik received funding from the Hungarian National Fund (OTKA NF-104706).

Autori: Dávid Csercsik, Johanna Sápi, Levente Kovács
Pubblicato in: IFAC-PapersOnLine, Issue 50/1, 2017, Page(s) 12216-12221, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2017.08.2119

Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data

Autori: Levente Kovács
Pubblicato in: Knowledge-Based Systems, Issue 122, 2017, Page(s) 199-213, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2017.02.008

A robust fixed point transformation-based approach for type 1 diabetes control

Autori: Levente Kovács
Pubblicato in: Nonlinear Dynamics, Issue 89/4, 2017, Page(s) 2481-2493, ISSN 0924-090X
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11071-017-3598-7

Towards Automated Traceability Assessment through Augmented Lifecycle Space

Autori: Miklós Biró, József Klespitz, Johannes Gmeiner, Christa Illibauer, Levente Kovács
Pubblicato in: COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE, Issue 633, 2016, Page(s) 94-105, ISSN 1865-0929
Editore: Springer Verlag
DOI: 10.1007/978-3-319-44817-6_8

Modelling Tumor Growth under Angiogenesis Inhibition with Mixed-Effects Models

Autori: Tamás Ferenci, Johanna Sápi, Levente Kovács
Pubblicato in: Acta Polytechnica Hungarica, Issue 14/1, 2017, Page(s) 221-234, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/APH.14.1.2017.1.15

Potential Benefits of Discrete-Time Controller-based Treatments over Protocol-based Cancer Therapies

Autori: Johanna Sápi, Dániel András Drexler, Levente Kovács
Pubblicato in: Acta Polytechnica Hungarica, Issue 14/1, 2017, Page(s) 11-23, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/APH.14.1.2017.1.2

Infectious Hospital Agents: A HAI Spreading Simulation Framework

Autori: Róbert Pethes, Tamás Ferenci, Levente Kovács
Pubblicato in: Acta Polytechnica Hungarica, Issue 14/1, 2017, Page(s) 95-110, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/APH.14.1.2017.1.7

Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab

Autori: Dávid Csercsik, Levente Kovács
Pubblicato in: Complexity, Issue 2019, 2019, Page(s) 1-18, ISSN 1076-2787
Editore: John Wiley & Sons Inc.
DOI: 10.1155/2019/9079104

Optimal PID Based Computed Torque Control of Tumor Growth Models ⁎ ⁎This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 679681). B.G. Czak was supported by the UNKP-17-2/I. New National Excellence Program of the Ministry of Human Capacities.

Autori: Bence G. Czakó, Johanna Sápi, Levente Kovács
Pubblicato in: IFAC-PapersOnLine, Issue 51/4, 2018, Page(s) 900-905, ISSN 2405-8963
Editore: Elsevier Ltd
DOI: 10.1016/j.ifacol.2018.06.109

Nonlinear Model Predictive Control Using Robust Fixed Point Transformation-Based Phenomena for Controlling Tumor Growth

Autori: Bence Czakó, Levente Kovács
Pubblicato in: Machines, Issue 6/4, 2018, Page(s) 49, ISSN 2075-1702
Editore: MDPI AG
DOI: 10.3390/machines6040049

A TP-LPV-LMI based control for Tumor Growth Inhibition

Autori: Levente Kovács, György Eigner
Pubblicato in: IFAC-PapersOnLine, Issue 51/26, 2018, Page(s) 155-160, ISSN 2405-8963
Editore: Elsevier Ltd
DOI: 10.1016/j.ifacol.2018.11.146

Tensor Product Model Transformation-based Parallel Distributed Control of Tumor Growth

Autori: Levente Kovács, G. Eigner
Pubblicato in: Acta Polytechnica Hungarica, Issue 15/3, 2018, ISSN 1785-8860
Editore: Obuda University
DOI: 10.12700/aph.15.3.2018.3.7

H∞ control of nonlinear systems with positive input with application to antiangiogenic therapy

Autori: Dániel A. Drexler, Johanna Sápi, Levente Kovács
Pubblicato in: IFAC-PapersOnLine, Issue 51/25, 2018, Page(s) 146-151, ISSN 2405-8963
Editore: Elsevier Ltd.
DOI: 10.1016/j.ifacol.2018.11.096

Robust Fixed Point Transformation based Proportional-Derivative Control of Angiogenic Tumor Growth

Autori: Levente Kovács, György Eigner, József K. Tar, Imre Rudas
Pubblicato in: IFAC-PapersOnLine, Issue 51/4, 2018, Page(s) 894-899, ISSN 2405-8963
Editore: Elsevier Ltd.
DOI: 10.1016/j.ifacol.2018.06.110

A Fully Automatic Procedure for Brain Tumor Segmentation from Multi-Spectral MRI Records Using Ensemble Learning and Atlas-Based Data Enhancement

Autori: Ágnes Győrfi, László Szilágyi, Levente Kovács
Pubblicato in: Applied Sciences, Issue 11/2, 2021, Page(s) 564, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11020564

Self-Reported Waiting Times for Outpatient Health Care Services in Hungary: Results of a Cross-Sectional Survey on a National Representative Sample

Autori: Óscar Brito Fernandes, Armin Lucevic, Márta Péntek, Dionne Kringos, Niek Klazinga, László Gulácsi, Zsombor Zrubka, Petra Baji
Pubblicato in: International Journal of Environmental Research and Public Health, 2021, ISSN 1660-4601
Editore: MDPI
DOI: 10.3390/ijerph18052213

Optimal scheduling of low-dose metronomic chemotherapy: an in-silico analysis

Autori: Balint Peceli, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 2020, Page(s) 411-416, ISBN 978-1-7281-8050-2
Editore: IEEE
DOI: 10.1109/sose50414.2020.9130500

The use of block maxima method of extreme value statistics to characterise blood glucose curves

Autori: Matyas Szigeti, Tamas Ferenci, Levente Kovacs
Pubblicato in: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 2020, Page(s) 433-438, ISBN 978-1-7281-8050-2
Editore: IEEE
DOI: 10.1109/sose50414.2020.9130427

Extended tumor growth model for combined therapy

Autori: Daniel Andras Drexler, Tamas Ferenci, Levente Kovacs
Pubblicato in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, Page(s) 886-891, ISBN 978-1-7281-4569-3
Editore: IEEE
DOI: 10.1109/smc.2019.8914569

Optimization of impulsive discrete-time tumor chemotherapy

Autori: Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2019 First International Conference on Societal Automation (SA), 2019, Page(s) 1-7, ISBN 978-1-7281-3345-4
Editore: IEEE
DOI: 10.1109/sa47457.2019.8938056

The use of peak over threshold methods to characterise blood glucose curves

Autori: Matyas Szigeti, Tamas Ferenci, Levente Kovacs
Pubblicato in: 2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2020, Page(s) 000199-000204, ISBN 978-1-7281-7377-1
Editore: IEEE
DOI: 10.1109/saci49304.2020.9118838

Continuous time Robust Fixed Point Transformations based control

Autori: Bence Geza Czako, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2019 IEEE AFRICON, 2019, Page(s) 1-6, ISBN 978-1-7281-3289-1
Editore: IEEE
DOI: 10.1109/africon46755.2019.9133741

Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier

Autori: Szabolcs Csaholczi, David Iclănzan, Levente Kovács, László Szilágyi
Pubblicato in: International Conference on Neural Information Processing, 2020
Editore: Springer

Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling

Autori: Daniel Andras Drexler, Tamas Ferenci, Anna Lovrics, Levente Kovacs
Pubblicato in: 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2019, Page(s) 27-32, ISBN 978-1-7281-0686-1
Editore: IEEE
DOI: 10.1109/saci46893.2019.9111543

Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

Autori: Daniel Andras Drexler, Tamas Ferenci, Anna Lovrics, Levente Kovacs
Pubblicato in: 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES), 2019, Page(s) 000369-000374, ISBN 978-1-7281-1213-8
Editore: IEEE
DOI: 10.1109/ines46365.2019.9109532

Why Squashing Functions in Multi-Layer Neural Networks

Autori: Julio C. Urenda, Orsolya Csiszar, Gabor Csiszar, Jozsef Dombi, Olga Kosheleva, Vladik Kreinovich, Gyorgy Eigner
Pubblicato in: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, Page(s) 1705-1711, ISBN 978-1-7281-8526-2
Editore: IEEE
DOI: 10.1109/smc42975.2020.9282886

Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning *

Autori: Timea Fulop, Agnes Gyorfi, Szabolcs Csaholczi, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 2020, Page(s) 531-536, ISBN 978-1-7281-8050-2
Editore: IEEE
DOI: 10.1109/sose50414.2020.9130550

An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus

Autori: Levente Kovacs, Gyorgy Eigner, Bence Czako, Mate Siket, Jozsef K. Tar
Pubblicato in: 2019 First International Conference on Societal Automation (SA), 2019, Page(s) 1-7, ISBN 978-1-7281-3345-4
Editore: IEEE
DOI: 10.1109/sa47457.2019.8938069

Detection of physical activity using machine learning methods

Autori: Lehel Denes-Fazakas, Laszla Szilagyi, Jelena Tasic, Levente Kovacs, Gyorgy Eigner
Pubblicato in: 2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020, Page(s) 167-172, ISBN 978-1-7281-8340-4
Editore: IEEE
DOI: 10.1109/cinti51262.2020.9305845

Machine learning application development to predict blood glucose level based on real time patient data

Autori: Gyorgy Eigner, Miklos Nagy, Levente Kovacs
Pubblicato in: 2020 RIVF International Conference on Computing and Communication Technologies (RIVF), 2020, Page(s) 1-6, ISBN 978-1-7281-5377-3
Editore: IEEE
DOI: 10.1109/rivf48685.2020.9140750

Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods

Autori: Agnes Gyorfi, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, Page(s) 909-914, ISBN 978-1-7281-4569-3
Editore: IEEE
DOI: 10.1109/smc.2019.8914463

A minimal model of tumor growth with angiogenic inhibition using bevacizumab

Autori: Daniel Andras Drexler, Johanna Sapi, Levente Kovacs
Pubblicato in: 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017, Page(s) 000185-000190, ISBN 978-1-5090-5655-2
Editore: IEEE
DOI: 10.1109/SAMI.2017.7880300

Nonlinear identification of a tumor growth model for validating cancer treatments

Autori: Gyorgy Eigner, Gabor Szogi, Peter Pausits, Imre Rudas, Levente Kovacs
Pubblicato in: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, Page(s) 3159-3163, ISBN 978-1-5386-1645-1
Editore: IEEE
DOI: 10.1109/SMC.2017.8123113

Linear matrix inequality based control of tumor growth

Autori: Gyorgy Eigner, Levente Kovacs
Pubblicato in: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, Page(s) 1734-1739, ISBN 978-1-5386-1645-1
Editore: IEEE
DOI: 10.1109/SMC.2017.8122866

Tensor product based modeling of tumor growth

Autori: Gyorgy Eigner, Imre Rudas, Aniko Szakal, Levente Kovacs
Pubblicato in: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, Page(s) 900-905, ISBN 978-1-5386-1645-1
Editore: IEEE
DOI: 10.1109/SMC.2017.8122724

Cyber-medical systems: Challenges and possibilities

Autori: Levente Kovacs
Pubblicato in: 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), 2017, Page(s) 000015-000016, ISBN 978-1-5386-3855-2
Editore: IEEE
DOI: 10.1109/SISY.2017.8080527

Model-based Optimal Control Method for Cancer Treatment Using Model Predictive Control and Robust Fixed Point Method

Autori: Bence Czakó, Johanna Sápi, Levente Kovács
Pubblicato in: INES 2017, IEEE 21st International Conference on Intelligent Engineering Systems: Proceedings., 2017, Page(s) 271-276, ISBN 978-1-4799-7678-2
Editore: IEEE

Positive control of a minimal model of tumor growth with bevacizumab treatment

Autori: Daniel Andras Drexler, Johanna Sapi, Levente Kovacs
Pubblicato in: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2017, Page(s) 2084-2087, ISBN 978-1-5090-6161-7
Editore: IEEE
DOI: 10.1109/ICIEA.2017.8283181

Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose

Autori: David Csercsik, Johanna Sapi, Tamas Gonczy, Levente Kovacs
Pubblicato in: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2017, Page(s) 4698-4702, ISBN 978-1-5090-2873-3
Editore: IEEE
DOI: 10.1109/CDC.2017.8264353

Nonlinear Identification of Glucose Absorption Related to Diabetes Mellitus

Autori: György Eigner, Katalin Koppány, Péter Pausits, Levente Kovács
Pubblicato in: INES 2017, IEEE 21st International Conference on Intelligent Engineering Systems: Proceedings, 2017, Page(s) 265-270, ISBN 978-1-4799-7678-2
Editore: IEEE

Control of nonlinear physiological systems via LPV framework

Autori: Gyorgy Eigner, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2017, Page(s) 2088-2093, ISBN 978-1-5090-6161-7
Editore: IEEE
DOI: 10.1109/ICIEA.2017.8283182

Enhanced traceability and consistency with Augmented Lifecycle Space

Autori: Jozsef Klespitz, Miklos Biro, Levente Kovacs
Pubblicato in: 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES), 2016, Page(s) 207-212, ISBN 978-1-5090-1216-9
Editore: IEEE
DOI: 10.1109/INES.2016.7555121

Physiological control systems for high-quality interdisciplinary researches

Autori: Levente Kovacs
Pubblicato in: 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2016, Page(s) 11-12, ISBN 978-1-5090-2380-6
Editore: IEEE
DOI: 10.1109/SACI.2016.7507350

Control engineering approaches at Obuda University for physiological problems

Autori: Levente Kovacs
Pubblicato in: 2016 IEEE 20th Jubilee International Conference on Intelligent Engineering Systems (INES), 2016, Page(s) 19-20, ISBN 978-1-5090-1216-9
Editore: IEEE
DOI: 10.1109/INES.2016.7555125

Comparison of protocol based cancer therapies and discrete controller based treatments in the case of endostatin administration

Autori: Johanna Sapi, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003830-003835, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844831

Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models

Autori: Tamas Ferenci, Johanna Sapi, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003912-003917, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844845

A novel completed LPV controller and observer scheme in order to control nonlinear compartmental systems

Autori: Gyorgy Eigner, Peter Pausits, Levente Kovacs
Pubblicato in: 2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY), 2016, Page(s) 85-92, ISBN 978-1-5090-2866-5
Editore: IEEE
DOI: 10.1109/SISY.2016.7601476

Infectious hospital agents: An individual-based simulation framework

Autori: Robert Pethes, Tamas Ferenci, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003434-003439, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844765

Taming Cancer: Is it Possible?

Autori: Levente Kovács, Zoltán Sápi, Dániel A. Drexler, Johanna Sápi
Pubblicato in: BIT's 10th Annual World Cancer Congress 2017, 2017, Page(s) 137
Editore: BIT Group Global Ltd.

Investigation of the TP modeling possibilities of the Hovorka T1DM model

Autori: Gyorgy Eigner, Istvan Bojthe, Peter Pausits, Levente Kovacs
Pubblicato in: 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017, Page(s) 000259-000264, ISBN 978-1-5090-5655-2
Editore: IEEE
DOI: 10.1109/SAMI.2017.7880314

Robust nonlinear model predictive control of diabetes mellitus

Autori: Levente Kovacs, Csaba Maszlag, Miklos Mezei, Gyorgy Eigner
Pubblicato in: 2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017, Page(s) 000055-000060, ISBN 978-1-5090-5655-2
Editore: IEEE
DOI: 10.1109/SAMI.2017.7880363

LPV-based control of nonlinear compartmental model with input uncertainty

Autori: Gyorgy Eigner, Arpad Varga, Miklos Mezei, Levente Kovacs
Pubblicato in: 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY), 2017, Page(s) 000017-000022, ISBN 978-1-5386-3855-2
Editore: IEEE
DOI: 10.1109/SISY.2017.8080538

Cyber-Medical Systems: the Digitalized Healthcare Approach and Its Trends

Autori: Levente Kovács
Pubblicato in: MACRo 2017: 6th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics, 2017, Page(s) 1-2
Editore: DE GRUYTER OPEN

Animal experiments in cancer research: Wasteful or unavoidable?

Autori: Johanna Sapi
Pubblicato in: 2017 IEEE 30th Neumann Colloquium (NC), 2017, Page(s) 000157-000162, ISBN 978-1-5386-4636-6
Editore: IEEE
DOI: 10.1109/NC.2017.8263274

Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model

Autori: Gyorgy Eigner, Imre J. Rudas, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003405-003410, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844760

Second-order and implicit methods in numerical integration improve tracking performance of the closed-loop inverse kinematics algorithm

Autori: Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003362-003367, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844753

Control of T1DM via tensor product-based framework

Autori: Gyorgy Eigner, Peter Pausits, Levente Kovacs
Pubblicato in: 2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), 2016, Page(s) 000055-000060, ISBN 978-1-5090-3909-8
Editore: IEEE
DOI: 10.1109/CINTI.2016.7846379

Augmented Lifecycle Space for traceability and consistency enhancement

Autori: Jozsef Klespitz, Miklos Biro, Levente Kovacs
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003973-003977, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844854

Convex polytopic modeling of diabetes mellitus: A Tensor Product based approach

Autori: Levente Kovacs, Gyorgy Eigner
Pubblicato in: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003393-003398, ISBN 978-1-5090-1897-0
Editore: IEEE
DOI: 10.1109/SMC.2016.7844758

Regularization of the differential inverse orientation problem of generic serial revolute joint manipulators

Autori: Daniel Andras Drexler
Pubblicato in: 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), 2017, Page(s) 402-407, ISBN 978-1-5386-2402-9
Editore: IEEE
DOI: 10.1109/mmar.2017.8046861

Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment

Autori: David Csercsik, Johanna Sapi, Levente Kovacs
Pubblicato in: 2018 IEEE Conference on Control Technology and Applications (CCTA), 2018, Page(s) 1383-1388, ISBN 978-1-5386-7698-1
Editore: IEEE
DOI: 10.1109/ccta.2018.8511526

A hybrid cellular automaton model of tumor-induced angiogenesis

Autori: Tamas Gonczy, David Csercsik, Levente Kovacs
Pubblicato in: 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2018, Page(s) 1-6, ISBN 978-1-5386-2205-6
Editore: IEEE
DOI: 10.1109/aqtr.2018.8402781

Control of tumor growth by modern control methodologies

Autori: Gyorgy Eigner, Levente Kovacs
Pubblicato in: 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2018, Page(s) 1-6, ISBN 978-1-5386-2205-6
Editore: IEEE
DOI: 10.1109/aqtr.2018.8402782

Tumor Growth Control by TP-LPV-LMI Based Controller

Autori: Gyorgy Eigner, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, Page(s) 2564-2569, ISBN 978-1-5386-6650-0
Editore: IEEE
DOI: 10.1109/smc.2018.00439

Qualitative analysis of a closed-loop model of tumor growth control

Autori: Dániel András Drexler, Ilona Nagy, Valery Romanovski, János Tóth, Levente Kovács
Pubblicato in: IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI 2018), 2018, Page(s) 329-334
Editore: IEEE

Discrete LPV Modeling of Diabetes Mellitus for Control Purposes

Autori: Gyorgy Eigner, Mate Siket, Aniko Szakal, Imre Rudas, Levente Kovacs
Pubblicato in: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018, Page(s) 2558-2563, ISBN 978-1-5386-6650-0
Editore: IEEE
DOI: 10.1109/smc.2018.00438

Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

Autori: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Pubblicato in: IEEE 23nd International Conference on Intelligent Engineering Systems : proceedings, 2019, Page(s) 369-373
Editore: IEEE

Robust H∞ controller design for T1DM based on relaxed LMI conditions

Autori: György Eigner, István Böjthe, Alajos Mészárosy, Levente Kovács
Pubblicato in: IEEE 23nd International Conference on Intelligent Engineering Systems : proceedings, 2019, Page(s) 363-368
Editore: IEEE

Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling

Autori: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Pubblicato in: IEEE 13th International Symposium on Applied Computational Intelligence and Informatics : PROCEEDINGS, 2019, Page(s) 27-32
Editore: IEEE

Brain Tumor Segmentation from MRI Data Using Ensemble Learning and Multi-Atlas

Autori: Timea Fulop, Agnes Gyorfi, Bela Suranyi, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2020, Page(s) 111-116, ISBN 978-1-7281-3149-8
Editore: IEEE
DOI: 10.1109/sami48414.2020.9108752

Impulsive Control of Tumor Growth via Nonlinear Model Predictive Control Using Direct Multiple Shooting

Autori: Bence Geza Czako, Daniel Andras Drexler, Levente Kovacs
Pubblicato in: 2020 European Control Conference (ECC), 2020, Page(s) 755-760, ISBN 978-3-90714-402-2
Editore: IEEE
DOI: 10.23919/ecc51009.2020.9143755

Robust H ∞ controller design for T1DM based on relaxed LMI conditions

Autori: Gyorgy Eigner, Istvan Bojthe, Alajos Meszaros, Levente Kovacs
Pubblicato in: 2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES), 2019, Page(s) 000363-000368, ISBN 978-1-7281-1213-8
Editore: IEEE
DOI: 10.1109/ines46365.2019.9109511

Optimization of Low Dose Metronomic Therapy based on Pharmacological Parameters

Autori: Dániel András Drexler, Levente Kovács
Pubblicato in: 11th IFAC Symposium on Biological and Medical Systems (BMS2021), 2021
Editore: IFAC
DOI: 10.1016/j.ifacol.2021.10.259

The Effect of Spectral Resolution Upon the Accuracy of Brain Tumor Segmentation from Multi-Spectral MRI Data

Autori: Agnes Gyorfi, Timea Fulop, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2020, Page(s) 325-328, ISBN 978-1-7281-3149-8
Editore: IEEE
DOI: 10.1109/sami48414.2020.9108770

A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data *

Autori: Agnes Gyorfi, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Page(s) 804-807, ISBN 978-1-5386-1311-5
Editore: IEEE
DOI: 10.1109/embc.2019.8857794

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus

Autori: Arpad Varga, Levente Kovacs, Gyorgy Eigner, Dusan Kocur, Jozsef K. Tar
Pubblicato in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, Page(s) 1408-1413, ISBN 978-1-7281-4569-3
Editore: IEEE
DOI: 10.1109/smc.2019.8914617

Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method *

Autori: Levente Kovacs, Mate Siket, Imre Rudas, Aniko Szakal, Gyorgy Eigner
Pubblicato in: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, Page(s) 1390-1395, ISBN 978-1-7281-4569-3
Editore: IEEE
DOI: 10.1109/smc.2019.8914014

Sensitivity and identifiability analysis of a third-order tumor growth model

Autori: Mate Siket, Gyorgy Eigner, Levente Kovacs
Pubblicato in: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 2020, Page(s) 417-422, ISBN 978-1-7281-8050-2
Editore: IEEE
DOI: 10.1109/sose50414.2020.9130530

Review of Algorithms for Improving Control of Blood Glucose Levels

Autori: Jelena Tasic, Gyorgy Eigner, Levente Kovacs
Pubblicato in: 2020 IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY), 2020, Page(s) 179-184, ISBN 978-1-7281-7352-8
Editore: IEEE
DOI: 10.1109/sisy50555.2020.9217090

Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach

Autori: Agnes Gyorfi, Szabolcs Csaholczi, Timea Fulop, Levente Kovacs, Laszlo Szilagyi
Pubblicato in: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, Page(s) 1699-1704, ISBN 978-1-7281-8526-2
Editore: IEEE
DOI: 10.1109/smc42975.2020.9282987

Chemotherapy Optimization using Moving Horizon Estimation based Nonlinear Model Predictive Control

Autori: Bence Czakó, Máté Siket, Dániel András Drexler, Levente Kovács
Pubblicato in: 11th IFAC Symposium on Biological and Medical Systems (BMS2021), 2021
Editore: IFAC
DOI: 10.1016/j.ifacol.2021.10.258

Integrative cybermedical systems for computer-based drug delivery

Autori: Levente Kovács, Bence Czakó, Dániel András Drexler, György Eigner, Tamás Ferenci
Pubblicato in: Automated Drug Delivery in Anesthesia, 2020, Page(s) 269-315, ISBN 9780128159750
Editore: Elsevier
DOI: 10.1016/b978-0-12-815975-0.00016-3

Modeling the physiological phenomena and the effects of therapy on the dynamics of tumor growth

Autori: Levente Kovács, Dániel András Drexler
Pubblicato in: Modeling of Mass Transport Processes in Biological Media, 2022, ISBN 978-0-443-15765-3
Editore: Academic Press Elsevier

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data

Autori: Ágnes Győrfi, Zoltán Karetka-Mezei, David Iclănzan, Levente Kovács, László Szilágyi
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Issue 11896, 2019, Page(s) 375-384, ISBN 978-3-030-33903-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_35

Cross-Tool Interoperability in Heterogeneous Application Lifecycle Management Systems

Autori: József Klespitz, Miklós Bíró, Levente Kovács
Pubblicato in: New Trends in Software Methodologies, Tools and Techniques: 5th International Conference on New Trends in Intelligent Software Methodology Tools and Techniques (SoMeT 16), Issue Volume 268, 2016, Page(s) 213 - 220, ISBN 978-1-61499-674-3
Editore: IOS Press
DOI: 10.3233/978-1-61499-674-3-213

A TP-LPV-LMI Approach to Control of Tumor Growth

Autori: György Eigner, Levente Kovács
Pubblicato in: Recent Advances in Intelligent Engineering - Volume Dedicated to Imre J. Rudas’ Seventieth Birthday, Issue 14, 2020, Page(s) 223-252, ISBN 978-3-030-14349-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-14350-3_12

Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods

Autori: Ágnes Győrfi, Levente Kovács, László Szilágyi
Pubblicato in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, Issue 11896, 2019, Page(s) 326-335, ISBN 978-3-030-33903-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_30

Towards personalized medicine by mathematical modeling of tumors

Autori: Dániel András Drexler, Levente Kovács, Gheorghe Moza
Pubblicato in: 2022
Editore: Open Research Europe
DOI: 10.12688/openreseurope.14814.1

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