Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Publications

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

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

Control of Diabetes Mellitus by Advanced Robust Control Solution

Auteurs: Levente Kovacs, Gyorgy Eigner, Mate Siket, Laszlo Barkai
Publié dans: IEEE Access, Numéro 7, 2019, Page(s) 125609-125622, ISSN 2169-3536
Éditeur: 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

Auteurs: Ivan Sala-Mira; Mate Siket; Levente Kovács; Gyorgy Eigner; Jorge Bondia
Publié dans: IEEE Access, Numéro Vol 9., 2021, Page(s) 143549-143563, ISSN 2169-3536
Éditeur: 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

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

Experimental Closed-Loop Control of Breast Cancer in Mice

Auteurs: Levente Kovács, Bence Czakó , Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler
Publié dans: Complexity, Numéro Volume 2022, 2022, ISSN 1076-2787
Éditeur: John Wiley & Sons Inc.
DOI: 10.1155/2022/9348166

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

Auteurs: Máté Siket, György Eigner, Dániel András Drexler, Imre Rudas, Levente Kovács
Publié dans: Applied Sciences, Numéro 10/24, 2020, Page(s) 9046, ISSN 2076-3417
Éditeur: 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

Auteurs: Mátyás Szigeti, Tamás Ferenci, Levente Kovács
Publié dans: Journal of Diabetes Science and Technology, 2021, ISSN 1932-2968
Éditeur: Diabetes Technology Society
DOI: 10.1177/19322968211059547

Tumor dynamics modeling based on formalreaction kinetics

Auteurs: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Publié dans: Acta Polytechnica Hungarica, Numéro 16/10, 2019, Page(s) 31-44, ISSN 1785-8860
Éditeur: 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

Auteurs: Katarzyna Kolasa, Francesca Mazzi, Ewa Leszczuk-Czubkowska, Zsombor Zrubka, Márta Péntek
Publié dans: JMIR Mhealth Uhealth, 2021, ISSN 2291-5222
Éditeur: 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).

Auteurs: Dániel András Drexler, Johanna Sápi, Levente Kovács
Publié dans: IFAC-PapersOnLine, Numéro 50/1, 2017, Page(s) 15068-15073, ISSN 2405-8963
Éditeur: 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

Auteurs: Dániel András Drexler, Johanna Sápi, Levente Kovács
Publié dans: IFAC-PapersOnLine, Numéro 50/1, 2017, Page(s) 13504-13509, ISSN 2405-8963
Éditeur: Elsevier
DOI: 10.1016/j.ifacol.2017.08.2337

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

Auteurs: Dániel András Drexler, Johanna Sápi, Levente Kovács
Publié dans: Complexity, Numéro 2017, 2017, Page(s) 1-10, ISSN 1076-2787
Éditeur: 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).

Auteurs: Dávid Csercsik, Johanna Sápi, Levente Kovács
Publié dans: IFAC-PapersOnLine, Numéro 50/1, 2017, Page(s) 12216-12221, ISSN 2405-8963
Éditeur: 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

Auteurs: Levente Kovács
Publié dans: Knowledge-Based Systems, Numéro 122, 2017, Page(s) 199-213, ISSN 0950-7051
Éditeur: Elsevier BV
DOI: 10.1016/j.knosys.2017.02.008

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

Auteurs: Levente Kovács
Publié dans: Nonlinear Dynamics, Numéro 89/4, 2017, Page(s) 2481-2493, ISSN 0924-090X
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11071-017-3598-7

Towards Automated Traceability Assessment through Augmented Lifecycle Space

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

Modelling Tumor Growth under Angiogenesis Inhibition with Mixed-Effects Models

Auteurs: Tamás Ferenci, Johanna Sápi, Levente Kovács
Publié dans: Acta Polytechnica Hungarica, Numéro 14/1, 2017, Page(s) 221-234, ISSN 1785-8860
Éditeur: Obuda University
DOI: 10.12700/APH.14.1.2017.1.15

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

Auteurs: Johanna Sápi, Dániel András Drexler, Levente Kovács
Publié dans: Acta Polytechnica Hungarica, Numéro 14/1, 2017, Page(s) 11-23, ISSN 1785-8860
Éditeur: Obuda University
DOI: 10.12700/APH.14.1.2017.1.2

Infectious Hospital Agents: A HAI Spreading Simulation Framework

Auteurs: Róbert Pethes, Tamás Ferenci, Levente Kovács
Publié dans: Acta Polytechnica Hungarica, Numéro 14/1, 2017, Page(s) 95-110, ISSN 1785-8860
Éditeur: Obuda University
DOI: 10.12700/APH.14.1.2017.1.7

Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab

Auteurs: Dávid Csercsik, Levente Kovács
Publié dans: Complexity, Numéro 2019, 2019, Page(s) 1-18, ISSN 1076-2787
Éditeur: 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.

Auteurs: Bence G. Czakó, Johanna Sápi, Levente Kovács
Publié dans: IFAC-PapersOnLine, Numéro 51/4, 2018, Page(s) 900-905, ISSN 2405-8963
Éditeur: 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

Auteurs: Bence Czakó, Levente Kovács
Publié dans: Machines, Numéro 6/4, 2018, Page(s) 49, ISSN 2075-1702
Éditeur: MDPI AG
DOI: 10.3390/machines6040049

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

Auteurs: Levente Kovács, György Eigner
Publié dans: IFAC-PapersOnLine, Numéro 51/26, 2018, Page(s) 155-160, ISSN 2405-8963
Éditeur: Elsevier Ltd
DOI: 10.1016/j.ifacol.2018.11.146

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

Auteurs: Levente Kovács, G. Eigner
Publié dans: Acta Polytechnica Hungarica, Numéro 15/3, 2018, ISSN 1785-8860
Éditeur: Obuda University
DOI: 10.12700/aph.15.3.2018.3.7

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

Auteurs: Dániel A. Drexler, Johanna Sápi, Levente Kovács
Publié dans: IFAC-PapersOnLine, Numéro 51/25, 2018, Page(s) 146-151, ISSN 2405-8963
Éditeur: Elsevier Ltd.
DOI: 10.1016/j.ifacol.2018.11.096

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

Auteurs: Levente Kovács, György Eigner, József K. Tar, Imre Rudas
Publié dans: IFAC-PapersOnLine, Numéro 51/4, 2018, Page(s) 894-899, ISSN 2405-8963
Éditeur: 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

Auteurs: Ágnes Győrfi, László Szilágyi, Levente Kovács
Publié dans: Applied Sciences, Numéro 11/2, 2021, Page(s) 564, ISSN 2076-3417
Éditeur: 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

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

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

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

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

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

Extended tumor growth model for combined therapy

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

Optimization of impulsive discrete-time tumor chemotherapy

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

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

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

Continuous time Robust Fixed Point Transformations based control

Auteurs: Bence Geza Czako, Daniel Andras Drexler, Levente Kovacs
Publié dans: 2019 IEEE AFRICON, 2019, Page(s) 1-6, ISBN 978-1-7281-3289-1
Éditeur: IEEE
DOI: 10.1109/africon46755.2019.9133741

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

Auteurs: Szabolcs Csaholczi, David Iclănzan, Levente Kovács, László Szilágyi
Publié dans: International Conference on Neural Information Processing, 2020
Éditeur: Springer

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

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

Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

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

Why Squashing Functions in Multi-Layer Neural Networks

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

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

Auteurs: Timea Fulop, Agnes Gyorfi, Szabolcs Csaholczi, Levente Kovacs, Laszlo Szilagyi
Publié dans: 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 2020, Page(s) 531-536, ISBN 978-1-7281-8050-2
Éditeur: 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

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

Detection of physical activity using machine learning methods

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

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

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

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

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

A minimal model of tumor growth with angiogenic inhibition using bevacizumab

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

Nonlinear identification of a tumor growth model for validating cancer treatments

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

Linear matrix inequality based control of tumor growth

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

Tensor product based modeling of tumor growth

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

Cyber-medical systems: Challenges and possibilities

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

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

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

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

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

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

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

Nonlinear Identification of Glucose Absorption Related to Diabetes Mellitus

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

Control of nonlinear physiological systems via LPV framework

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

Enhanced traceability and consistency with Augmented Lifecycle Space

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

Physiological control systems for high-quality interdisciplinary researches

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

Control engineering approaches at Obuda University for physiological problems

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

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

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

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

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

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

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

Infectious hospital agents: An individual-based simulation framework

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

Taming Cancer: Is it Possible?

Auteurs: Levente Kovács, Zoltán Sápi, Dániel A. Drexler, Johanna Sápi
Publié dans: BIT's 10th Annual World Cancer Congress 2017, 2017, Page(s) 137
Éditeur: BIT Group Global Ltd.

Investigation of the TP modeling possibilities of the Hovorka T1DM model

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

Robust nonlinear model predictive control of diabetes mellitus

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

LPV-based control of nonlinear compartmental model with input uncertainty

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

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

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

Animal experiments in cancer research: Wasteful or unavoidable?

Auteurs: Johanna Sapi
Publié dans: 2017 IEEE 30th Neumann Colloquium (NC), 2017, Page(s) 000157-000162, ISBN 978-1-5386-4636-6
Éditeur: IEEE
DOI: 10.1109/NC.2017.8263274

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

Auteurs: Gyorgy Eigner, Imre J. Rudas, Levente Kovacs
Publié dans: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, Page(s) 003405-003410, ISBN 978-1-5090-1897-0
Éditeur: 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

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

Control of T1DM via tensor product-based framework

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

Augmented Lifecycle Space for traceability and consistency enhancement

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

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

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

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

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

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

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

A hybrid cellular automaton model of tumor-induced angiogenesis

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

Control of tumor growth by modern control methodologies

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

Tumor Growth Control by TP-LPV-LMI Based Controller

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

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

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

Discrete LPV Modeling of Diabetes Mellitus for Control Purposes

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

Modeling of tumor growth incorporating the effect of pegylated liposomal doxorubicin

Auteurs: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Publié dans: IEEE 23nd International Conference on Intelligent Engineering Systems : proceedings, 2019, Page(s) 369-373
Éditeur: IEEE

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

Auteurs: György Eigner, István Böjthe, Alajos Mészárosy, Levente Kovács
Publié dans: IEEE 23nd International Conference on Intelligent Engineering Systems : proceedings, 2019, Page(s) 363-368
Éditeur: IEEE

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

Auteurs: Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Publié dans: IEEE 13th International Symposium on Applied Computational Intelligence and Informatics : PROCEEDINGS, 2019, Page(s) 27-32
Éditeur: IEEE

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

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

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

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

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

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

Optimization of Low Dose Metronomic Therapy based on Pharmacological Parameters

Auteurs: Dániel András Drexler, Levente Kovács
Publié dans: 11th IFAC Symposium on Biological and Medical Systems (BMS2021), 2021
Éditeur: 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

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

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

Auteurs: Agnes Gyorfi, Levente Kovacs, Laszlo Szilagyi
Publié dans: 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
Éditeur: IEEE
DOI: 10.1109/embc.2019.8857794

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

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

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

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

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

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

Review of Algorithms for Improving Control of Blood Glucose Levels

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

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

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

Chemotherapy Optimization using Moving Horizon Estimation based Nonlinear Model Predictive Control

Auteurs: Bence Czakó, Máté Siket, Dániel András Drexler, Levente Kovács
Publié dans: 11th IFAC Symposium on Biological and Medical Systems (BMS2021), 2021
Éditeur: IFAC
DOI: 10.1016/j.ifacol.2021.10.258

Integrative cybermedical systems for computer-based drug delivery

Auteurs: Levente Kovács, Bence Czakó, Dániel András Drexler, György Eigner, Tamás Ferenci
Publié dans: Automated Drug Delivery in Anesthesia, 2020, Page(s) 269-315, ISBN 9780128159750
Éditeur: 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

Auteurs: Levente Kovács, Dániel András Drexler
Publié dans: Modeling of Mass Transport Processes in Biological Media, 2022, ISBN 978-0-443-15765-3
Éditeur: Academic Press Elsevier

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

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

Cross-Tool Interoperability in Heterogeneous Application Lifecycle Management Systems

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

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

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

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

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

Towards personalized medicine by mathematical modeling of tumors

Auteurs: Dániel András Drexler, Levente Kovács, Gheorghe Moza
Publié dans: 2022
Éditeur: Open Research Europe
DOI: 10.12688/openreseurope.14814.1

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