Johanna Sápi, PhD
Johanna Sápi, PhD
Obuda University, Physiological Controls Research Center
E-mail megerősítve itt: nik.uni-obuda.hu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Tumor volume estimation and quasi-continuous administration for most effective bevacizumab therapy
J Sápi, L Kovács, DA Drexler, P Kocsis, D Gajári, Z Sápi
PLoS One 10 (11), e0142190, 2015
532015
Model-based analysis and synthesis of tumor growth under angiogenic inhibition: a case study
DA Drexler, L Kovács, J Sápi, I Harmati, Z Benyó
IFAC Proceedings Volumes 44 (1), 3753-3758, 2011
432011
Model-based angiogenic inhibition of tumor growth using modern robust control method
L Kovács, A Szeles, J Sápi, DA Drexler, I Rudas, I Harmati, Z Sápi
Computer methods and programs in biomedicine 114 (3), e98-e110, 2014
402014
Poorly differentiated synovial sarcoma is associated with high expression of enhancer of zeste homologue 2 (EZH2)
YC Changchien, P Tátrai, G Papp, J Sápi, L Fónyad, M Szendrői, Z Pápai, ...
Journal of translational medicine 10 (1), 216, 2012
382012
Qualitative analysis of tumor growth model under antiangiogenic therapy–choosing the effective operating point and design parameters for controller design
J Sápi, DA Drexler, I Harmati, Z Sápi, L Kovács
Optimal Control Applications and Methods 37 (5), 848-866, 2016
222016
Modeling of tumor growth incorporating the effects of necrosis and the effect of bevacizumab
DA Drexler, J Sápi, L Kovács
Complexity 2017, 2017
212017
A minimal model of tumor growth with angiogenic inhibition using bevacizumab
DA Drexler, J Sápi, L Kovács
2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017
212017
Potential benefits of discrete-time controllerbased treatments over protocol-based cancer therapies
J Sápi, DA Drexler, L Kovács
Acta Polytechnica Hungarica 14 (1), 11-23, 2017
212017
Linear state-feedback control synthesis of tumor growth control in antiangiogenic therapy
J Sápi, DA Drexler, I Harmati, Z Sápi, L Kovács
2012 IEEE 10th International Symposium on Applied Machine Intelligence and …, 2012
202012
Flat control of tumor growth with angiogenic inhibition
DA Drexler, J Sápi, A Szeles, I Harmati, A Kovács, L Kovács
2012 7th IEEE International Symposium on Applied Computational Intelligence …, 2012
192012
Model-based angiogenic inhibition of tumor growth using modern robust control method
A Szeles, J Sápi, DA Drexler, I Harmati, Z Sápi, L Kovács
IFAC Proceedings Volumes 45 (18), 113-118, 2012
162012
Model-based optimal control method for cancer treatment using model predictive control and robust fixed point method
B Czakó, J Sápi, L Kovács
2017 IEEE 21st International Conference on Intelligent Engineering Systems …, 2017
122017
Imaging method for model-based control of tumor diseases
B Kiss, J Sápi, L Kovács
2013 IEEE 11th International Symposium on Intelligent Systems and …, 2013
122013
Positive nonlinear control of tumor growth using angiogenic inhibition
DA Drexler, J Sápi, L Kovács
IFAC-PapersOnLine 50 (1), 15068-15073, 2017
112017
Model-based angiogenic inhibition of tumor growth using feedback linearization
A Szeles, DA Drexler, J Sápi, I Harmati, L Kovács
52nd IEEE Conference on Decision and Control, 2054-2059, 2013
112013
Modeling and optimal control strategies of diseases with high public health impact
L Kovács, P Szalay, T Ferenci, DA Drexler, J Sápi, I Harmati, Z Benyó
2011 15th IEEE International Conference on Intelligent Engineering Systems …, 2011
112011
Positive control of a minimal model of tumor growth with bevacizumab treatment
DA Drexler, J Sápi, L Kovács
2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2017
102017
Parameter optimization of Hcontroller designed for tumor growth in the light of physiological aspects
J Sápi, DA Drexler, L Kovács
2013 IEEE 14th International Symposium on Computational Intelligence and …, 2013
92013
Modelling tumor growth under angiogenesis inhibition with mixed-effects models
T Ferenci, J Sápi, L Kovács
Acta Polytechnica Hungarica 14 (1), 221-234, 2017
82017
Controller-managed automated therapy and tumor growth model identification in the case of antiangiogenic therapy for most effective, individualized treatment
J Sápi
Ph. D. dissertation, Obuda University, Budapest, Hungary, 2015
82015
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20