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2020 – today
- 2021
[j19]Iván Sala-Mira, Máté Siket, Levente Kovács, György Eigner
, Jorge Bondia:
Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study. IEEE Access 9: 143549-143563 (2021)- [j18]Petra Takacs, Levente Kovács, Andrea Manno-Kovacs:
A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation. Multim. Tools Appl. 80(15): 22533-22550 (2021) - [c137]David Iclanzan, Rodica Ioana Lung, Zsolt Levente Kucsván, Béla Surányi, Levente Kovács, László Szilágyi:
The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. AFRICON 2021: 1-6 - [c136]Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi:
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON 2021: 1-6 - [c135]Ákos Odry, Zoltan Vizvari, Nina Gyorfi, Levente Kovács, György Eigner, Mihály Klincsik, Zoltan Sári, Péter Odry, Attila Tóth:
Application of Heuristic Optimization in Bioimpedance Spectroscopy Evaluation. SACI 2021: 105-112 - [c134]Katalin Ferencz, József Domokos, Levente Kovács:
Review of Industry 4.0 Security Challenges. SACI 2021: 245-248 - [c133]Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, Miklós Kozlovszky:
Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression. SACI 2021: 381-386 - [c132]Levente Kovács, Gábor Kertész:
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning. SACI 2021: 437-442 - [c131]Stefano-Niko Orzen, Levente Kovács:
Simulation of Session Real-Time Events with OMNET++ and Java Modelling Tools. SISY 2021: 45-48 - [c130]László Horváth, Levente Kovács:
Engineering Platform as Integrated Software for Model Mediated Research. SoMeT 2021: 235-247 - 2020
- [j17]Zoltan Vizvari, Nina Gyorfi, Ákos Odry, Zoltan Sári, Mihály Klincsik, Marin Gergics, Levente Kovács, Anita Kovács, Jozsef Pal, Zoltán Karádi, Péter Odry, Attila Tóth:
Physical Validation of a Residual Impedance Rejection Method during Ultra-Low Frequency Bio-Impedance Spectral Measurements. Sensors 20(17): 4686 (2020) - [c129]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Impulsive Control of Tumor Growth via Nonlinear Model Predictive Control Using Direct Multiple Shooting. ECC 2020: 755-760 - [c128]Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. ICONIP (1) 2020: 174-184 - [c127]György Eigner, Miklós Nagy, Levente Kovács:
Machine learning application development to predict blood glucose level based on real time patient data. RIVF 2020: 1-6 - [c126]Ogbolu Melvin Omone, Levente Kovács, Miklós Kozlovszky:
The Differences in Hydration and Dehydration Status: Physiological Characteristics in Students. SACI 2020: 71-76 - [c125]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of peak over threshold methods to characterise blood glucose curves. SACI 2020: 199-204 - [c124]Jelena Tasic, György Eigner, Levente Kovács:
Review of Algorithms for Improving Control of Blood Glucose Levels. SISY 2020: 179-184 - [c123]Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. SMC 2020: 1699-1704 - [c122]József Klespitz, Levente Kovács:
On the way to strict glycemic control for hemodialysis patients. SoSE 2020: 381-384 - [c121]Bálint Péceli, Dániel András Drexler, Levente Kovács:
Optimal scheduling of low-dose metronomic chemotherapy: an in-silico analysis. SoSE 2020: 411-416 - [c120]Máté Siket, György Eigner, Levente Kovács:
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE 2020: 417-422 - [c119]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of block maxima method of extreme value statistics to characterise blood glucose curves. SoSE 2020: 433-438 - [c118]Peter Piros, Rita Fleiner, Levente Kovács:
Random Forest-based predictive modelling on Hungarian Myocardial Infarction Registry. SoSE 2020: 525-530 - [c117]Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*. SoSE 2020: 531-536
2010 – 2019
- 2019
- [j16]Levente Kovács, György Eigner, Máté Siket, László Barkai:
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7: 125609-125622 (2019) - [j15]Parisa Yazdjerdi, Nader Meskin, Mohammad Al-Naemi, Ala-Eddin Al Moustafa, Levente Kovács:
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy. Comput. Methods Programs Biomed. 173: 15-26 (2019) - [j14]Dávid Csercsik, Levente Kovács:
Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab. Complex. 2019: 9079104:1-9079104:18 (2019) - [j13]Peter Piros, Tamas Ferenci, Rita Fleiner, Péter Andréka, Hamido Fujita, László Fozo, Levente Kovács, András Jánosi:
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry. Knowl. Based Syst. 179: 1-7 (2019) - [c116]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Continuous time Robust Fixed Point Transformations based control. AFRICON 2019: 1-6 - [c115]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP 2019: 326-335 - [c114]Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi:
A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. CIARP 2019: 375-384 - [c113]Loránd Székely, Eva-Henrietta Dulf, Levente Kovács:
Development of an Approach to a Biologically Inspired Self-Organizing Control Structure. CSCS 2019: 36-41 - [c112]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. EMBC 2019: 804-807 - [c111]Balázs Nagy, Levente Kovács, Csaba Benedek:
SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration. ICIP 2019: 1317-1321 - [c110]Balázs Nagy, Levente Kovács, Csaba Benedek:
Online Targetless End-to-End Camera-LIDAR Self-calibration. MVA 2019: 1-6 - [c109]József Klespitz, Imre Felde, Levente Kovács, Gergely Pintér, László Nádai:
Systemic Fluid Balance Control in Hemodialysis Machines with ANFIS. RIVF 2019: 1-5 - [c108]Dániel András Drexler, Levente Kovács:
Optimization of impulsive discrete-time tumor chemotherapy. SA 2019: 1-7 - [c107]Levente Kovács, György Eigner, Bence Czakó, Máté Siket, József K. Tar:
An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus. SA 2019: 1-7 - [c106]Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács:
Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. SACI 2019: 27-32 - [c105]Peter Piros, Rita Fleiner, Tamás Ferenci, Levente Kovács, András Jánosi:
Comparing the predictive power of decision tree models with different tuning approaches on Hungarian Myocardial Infarction Registry. SACI 2019: 326-331 - [c104]Dániel András Drexler, Tamás Ferenci, Levente Kovács:
Extended tumor growth model for combined therapy. SMC 2019: 886-891 - [c103]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC 2019: 909-914 - [c102]Levente Kovács, Máté Siket, Imre J. Rudas, Anikó Szakál, György Eigner:
Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method. SMC 2019: 1390-1395 - [c101]Árpád Varga, Levente Kovács, György Eigner, Dusan Kocur, József K. Tar:
Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus. SMC 2019: 1408-1413 - [i1]Andrea Manno-Kovacs, Csaba Benedek, Levente Kovács:
Content-Based Analysis of Medical Image Data for Augmented Reality Based Health Applications. ERCIM News 2019(118) (2019) - 2018
- [j12]Tamas Ferenci, Levente Kovács:
Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks. Appl. Soft Comput. 67: 834-839 (2018) - [j11]Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner:
Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming. Complex. 2018: 4670159:1-4670159:11 (2018) - [j10]Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner:
Corrigendum to "Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming". Complex. 2018: 9784597:1 (2018) - [c100]Dávid Csercsik, Johanna Sápi, Levente Kovács:
Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. CCTA 2018: 1383-1388 - [c99]Kinan Morani, György Eigner, Tamas Ferenci, Levente Kovács, Seref Naci Engin:
Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques. SACI 2018: 201-206 - [c98]József Klespitz, Levente Kovács:
Multivariable Control Structures of Hemodialysis Machines for Patient Fluid Balance Maintenance. SACI 2018: 415-418 - [c97]György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács:
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC 2018: 2558-2563 - [c96]György Eigner, Dániel András Drexler, Levente Kovács:
Tumor Growth Control by TP-LPV-LMI Based Controller. SMC 2018: 2564-2569 - 2017
- [j9]Dániel András Drexler, Johanna Sápi, Levente Kovács:
Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab. Complex. 2017: 5985031:1-5985031:10 (2017) - [j8]Levente Kovács:
Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data. Knowl. Based Syst. 122: 199-213 (2017) - [c95]Dávid Csercsik, Johanna Sápi, Tamas Gonczy, Levente Kovács:
Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. CDC 2017: 4698-4702 - [c94]Miklós Biró, Felix Kossak, József Klespitz, Levente Kovács:
Graceful Integration of Process Capability Improvement, Formal Modeling and Web Technology for Traceability. EuroSPI 2017: 381-398 - [c93]Andrea Manno-Kovacs, Levente Kovács:
Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion. ICCV Workshops 2017: 734-741 - [c92]Levente Kovács:
Cyber-medical systems: Challenges and possibilities. SISY 2017: 15-16 - [c91]György Eigner, Árpád Varga, Miklos Mezei, Levente Kovács:
LPV-based control of nonlinear compartmental model with input uncertainty. SISY 2017: 17-22 - [c90]Zsolt Fezer, Levente Kovács:
The economic impact of diabetes. SISY 2017: 77-82 - [c89]Árpád Varga, György Eigner, Levente Kovács, Imre Felde, Miklos Mezei:
Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. SISY 2017: 105-110 - [c88]György Eigner, Imre J. Rudas, Anikó Szakál, Levente Kovács:
Tensor product based modeling of tumor growth. SMC 2017: 900-905 - [c87]György Eigner, Levente Kovács:
Linear matrix inequality based control of tumor growth. SMC 2017: 1734-1739 - [c86]György Eigner, Gabor Szogi, Péter Pausits, Imre J. Rudas, Levente Kovács:
Nonlinear identification of a tumor growth model for validating cancer treatments. SMC 2017: 3159-3163 - [c85]Peter Piros, Rita Fleiner, Tamas Ferenci, Péter Andréka, Hamido Fujita, Peter J. Oefner, Levente Kovács, András Jánosi:
An Overview of Myocardial Infarction Registries and Results from the Hungarian Myocardial Infarction Registry. SoMeT 2017: 312-320 - 2016
- [j7]Árpád Takács, György Eigner, Levente Kovács, Imre J. Rudas, Tamás Haidegger:
Teacher's Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education. IEEE Robotics Autom. Mag. 23(2): 30-39 (2016) - [c84]Levente Kovács:
Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles. CVPR Workshops 2016: 877-884 - [c83]Miklós Biró, József Klespitz, Johannes Gmeiner, Christa Illibauer, Levente Kovács:
Towards Automated Traceability Assessment through Augmented Lifecycle Space. EuroSPI 2016: 94-105 - [c82]Péter Szalay, Zoltán Benyó, Levente Kovács:
Long-term prediction for T1DM model during state-feedback control. ICCA 2016: 311-316 - [c81]Miklós Kozlovszky, Levente Kovács, Khulan Batbayar, Zoltan Garaguly:
Automatic protocol based intervention plan analysis in healthcare. MIPRO 2016: 253-257 - [c80]Levente Kovács:
Physiological control systems for high-quality interdisciplinary researches. SACI 2016: 11-12 - [c79]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Discrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model. SACI 2016: 111-118 - [c78]József Klespitz, Miklós Biró, Levente Kovács:
Evaluation criteria for application life cycle management systems in practice. SACI 2016: 469-472 - [c77]György Eigner, Péter Pausits, Levente Kovács:
A novel completed LPV controller and observer scheme in order to control nonlinear compartmental systems. SISY 2016: 85-92 - [c76]Dániel András Drexler, Levente Kovács:
Second-order and implicit methods in numerical integration improve tracking performance of the closed-loop inverse kinematics algorithm. SMC 2016: 3362-3367 - [c75]Levente Kovács, György Eigner:
Convex polytopic modeling of diabetes mellitus: A Tensor Product based approach. SMC 2016: 3393-3398 - [c74]György Eigner, Imre J. Rudas, Levente Kovács:
Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model. SMC 2016: 3405-3410 - [c73]Róbert Pethes, Tamas Ferenci, Levente Kovács:
Infectious hospital agents: An individual-based simulation framework. SMC 2016: 3434-3439 - [c72]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Comparison of protocol based cancer therapies and discrete controller based treatments in the case of endostatin administration. SMC 2016: 3830-3835 - [c71]Tamas Ferenci, Johanna Sápi, Levente Kovács:
Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models. SMC 2016: 3912-3917 - [c70]József Klespitz, Miklós Biró, Levente Kovács:
Augmented Lifecycle Space for traceability and consistency enhancement. SMC 2016: 3973-3977 - [c69]József Klespitz, Miklós Biró, Levente Kovács:
Cross-Tool Interoperability in Heterogeneous Application Lifecycle Management Systems. SoMeT 2016: 213-220 - 2015
- [j6]József Klespitz, Márta Takács, Imre J. Rudas, Levente Kovács:
Performance of Soft Computing Controllers in Hemodialysis Machines. Int. J. Fuzzy Syst. 17(3): 414-422 (2015) - [c68]Levente Kovács:
Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing. ACIVS 2015: 261-272 - [c67]P. Latafat, Pasquale Palumbo, Pierdomenico Pepe, Levente Kovács, Simona Panunzi, Andrea De Gaetano:
An LMI-based controller for the glucose-insulin system. ECC 2015: 7-12 - [c66]Levente Kovács, Balazs Kurtan, György Eigner, Imre J. Rudas, Chee-Kong Chui:
Analysis of a novel time-delay diabetes model. ECC 2015: 13-18 - [c65]Gábor Kiss, Orsolya Eszter Cseri, Ádám Altsach, István Imre Bándi, Levente Kovács, Miklos Kozlovszky:
High Resolution Digital Tissue Image Processing using Texture Image Databases. DoCEIS 2015: 239-247 - [c64]Levente Kovács, Tamas Ferenci, Johanna Sápi, György Eigner, József Klespitz, Péter Szalay, Miklós Kozlovszky, Imre J. Rudas:
Physiological modeling and control at Obuda University. SACI 2015: 21-25 - [c63]György Eigner, József K. Tar, Levente Kovács:
Adaptive control solution for T1DM control. SACI 2015: 215-220 - [c62]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Comparison of mathematical tumor growth models. SISY 2015: 323-328 - [c61]György Eigner, Péter Horváth, József K. Tar, Imre J. Rudas, Levente Kovács:
Application of Robust Fixed Point Control in Case of T1DM. SMC 2015: 2459-2464 - [c60]Johanna Sápi, Tamas Ferenci, Dániel András Drexler, Levente Kovács:
Tumor Model Identification and Statistical Analysis. SMC 2015: 2481-2486 - [c59]József Klespitz, Imre J. Rudas, Levente Kovács:
LMI-Based Feedback Regulator Design via TP Transformation for Fluid Volume Control in Blood Purification Therapies. SMC 2015: 2615-2619 - 2014
- [j5]Levente Kovács, Annamária Szeles, Johanna Sápi, Dániel András Drexler, Imre J. Rudas, István Á. Harmati, Zoltan Sápi:
Model-based angiogenic inhibition of tumor growth using modern robust control method. Comput. Methods Programs Biomed. 114(3): e98-e110 (2014) - [j4]Levente Kovács, Anita Keszler, Tamás Szirányi:
Component evolution analysis in descriptor graphs for descriptor ranking. Digit. Signal Process. 31: 1-12 (2014) - [c58]József K. Tar, Imre J. Rudas, Levente Kovács, Balazs Kurtan, Tamás Haidegger:
Observation-based data driven adaptive control of an electromechanical device. ISIC 2014: 1895-1900 - [c57]László Szilágyi, Levente Kovács, Sándor Miklós Szilágyi:
Synthetic Test Data Generation for Hierarchical Graph Clustering Methods. ICONIP (2) 2014: 303-310 - [c56]Péter Szalay, László Szilágyi, Zoltán Benyó, Levente Kovács:
Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control. ICONIP (2) 2014: 445-453 - [c55]József K. Tar, Teréz Anna Várkonyi, Levente Kovács, Imre J. Rudas, Tamás Haidegger:
Robust Fixed Point Transformation based design for Model Reference Adaptive Control of a modified TORA system. IROS 2014: 123-128 - [c54]György Eigner, Peter Istvan Sas, Levente Kovács:
Continuous glucose monitoring systems in the service of artificial pancreas. SACI 2014: 117-122 - [c53]Levente Kovács, Johanna Sápi, György Eigner, Tamas Ferenci, Péter Szalay, József Klespitz, Balazs Kurtan, Miklós Kozlovszky, Dániel András Drexler, Péter Pausits, István Á. Harmati, Zoltan Sápi, Imre J. Rudas:
Model-based healthcare applications at Óbuda University. SACI 2014: 183-187 - [c52]Tamas Ferenci, Levente Kovács:
Using total correlation to discover related clusters of clinical chemistry parameters. SISY 2014: 49-54 - [c51]László Szilágyi, Gellert Denesi, Levente Kovács, Sándor M. Szilágyi:
Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction. SISY 2014: 197-202 - [c50]József K. Tar, Levente Kovács, Árpád Takács, Bence Takács, Peter Zentay, Tamás Haidegger, Imre J. Rudas:
Novel design of a Model Reference Adaptive Controller for soft tissue operations. SMC 2014: 2446-2451 - [c49]Simona Panunzi, Alessandro Borri, Pasquale Palumbo, Levente Kovács, Andrea De Gaetano:
Simulation of insulin regimen and glucose profiles in Type 1 diabetic patient. SMC 2014: 2464-2469 - [c48]Péter Szalay, Adrienn Molnar, Mark Muller, György Eigner, Imre J. Rudas, Zoltán Benyó, Levente Kovács:
Comparison of sigma-point filters for state estimation of diabetes models. SMC 2014: 2476-2481 - 2013
- [c47]Levente Kovács:
Parallel multi-tree indexing for evaluating large descriptor sets. CBMI 2013: 195-199 - [c46]Annamária Szeles, Dániel András Drexler, Johanna Sápi, István Á. Harmati, Levente Kovács:
Model-based angiogenic inhibition of tumor growth using feedback linearization. CDC 2013: 2054-2059 - [c45]Péter Szalay, György Eigner, Miklós Kozlovszky, Imre J. Rudas, Levente Kovács:
The significance of LPV modeling of a widely used T1DM model. EMBC 2013: 3531-3534 - [c44]Levente Kovács:
Processing Geotagged Image Sets for Collaborative Compositing and View Construction. ICCV Workshops 2013: 460-467 - [c43]Miklos Kozlovszky, K. Hegedüs, Gergely Windisch, Levente Kovács, Gergely Pintér:
Image Classification Optimization of High Resolution Tissue Images. LSSC 2013: 532-539 - [c42]Johanna Sápi, Dániel András Drexler, István Á. Harmati, Annamária Szeles, Bernadett Kiss, Zoltan Sápi, Levente Kovács:
Tumor growth model identification and analysis in case of C38 colon adenocarcinoma and B16 melanoma. SACI 2013: 303-308 - [c41]Tamas Ferenci, A. Korner, Levente Kovács:
Correlation investigations between HbAlc and blood glucose indicators on type 1 diabetic Hungarian children. SACI 2013: 443-447 - [c40]Bernadett Kiss, Johanna Sápi, Levente Kovács:
Imaging method for model-based control of tumor diseases. SISY 2013: 271-275 - 2012
- [c39]