TY - CHAP AU - Patakvölgyi, Vivien Roxána AU - Kovács, Levente AU - Drexler, Dániel András TI - Artificial noise injection for enhancing synthetic data quality for cell counting applications T2 - 2025 IEEE 29th International Conference on Intelligent Engineering Systems (INES) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 9798331597719 T3 - Proceedings - IEEE International Conference on Intelligent Engineering Systems, ISSN 1543-9259 PY - 2025 SP - 65 EP - 69 PG - 5 DO - 10.1109/INES67149.2025.11078023 UR - https://m2.mtmt.hu/api/publication/36188485 ID - 36188485 LA - English DB - MTMT ER - TY - JOUR AU - Puskás, Melánia AU - Gombos, Balázs AU - Kovács, Levente AU - Drexler, Dániel András TI - Mixed-effects Model Fitting Based on in vivo Data from Animal Experiments JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 22 PY - 2025 IS - 10 SP - 47 EP - 64 PG - 18 SN - 1785-8860 DO - 10.12700/APH.22.10.2025.10.4 UR - https://m2.mtmt.hu/api/publication/36302848 ID - 36302848 AB - The use of mixed-effects models is becoming increasingly common in the analysis of biomedical data. They are often employed for estimating physiological parameters, where we can distinguish between fixed and random effects, and they work particularly well for analyzing similar types of data. We apply mixed-effect modeling on experimental data, in which mice with breast cancer were treated with chemotherapeutic drugs. The mice are genetically identical, they had the same type of tumor, and they were treated with the same drug. The available data are the tumor volumes at specific time points and the doses of the injected drug. We fit our mathematical model to these experimental data; the parameters of that mathematical model are essentially the physiological parameters whose estimation is crucial for optimizing the therapy. To estimate the parameters, we apply a nonlinear mixed-effects model fitting to in vivo data. © 2025, Budapest Tech Polytechnical Institution. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Puskás, Melánia AU - Drexler, Dániel András TI - Modeling the error of caliper measurements in animal experiments JF - IEEE ACCESS J2 - IEEE ACCESS VL - 13 PY - 2025 SP - 54836 EP - 54852 PG - 17 SN - 2169-3536 DO - 10.1109/ACCESS.2025.3555148 UR - https://m2.mtmt.hu/api/publication/36063808 ID - 36063808 LA - English DB - MTMT ER - TY - CHAP AU - Puskás, Melánia AU - Ferenci, Tamás AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Systematic Errors in Tumor Volume Estimation: Noise Modeling in Digital Caliper Measurements T2 - 19th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2025 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Danvers (MA) SN - 9798331515478 T3 - Proceedings - International Symposium on Applied Computational Intelligence and Informatics, SACI, ISSN 2833-9010 PY - 2025 SP - 175 EP - 182 PG - 8 DO - 10.1109/SACI66288.2025.11030142 UR - https://m2.mtmt.hu/api/publication/36157942 ID - 36157942 LA - English DB - MTMT ER - TY - JOUR AU - Gergics, Borbála AU - Puskás, Melánia AU - Kisbenedek, Lilla AU - Dömény, Martin Ferenc AU - Kovács, Levente AU - Drexler, Dániel András TI - Chemotherapy optimization and patient model parameter estimation based on noisy measurements JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 2 PY - 2024 IS - 10 SP - 475 EP - 494 PG - 20 SN - 1785-8860 DO - 10.12700/APH.21.10.2024.10.29 UR - https://m2.mtmt.hu/api/publication/35618775 ID - 35618775 AB - The application of the achievements of mathematics and informatics greatly helped the development of medicine. Designing personalized therapies using different algorithms is crucial, especially during chemotherapy, to minimize the toxic effects on the patient and avoid resistance, thus ensuring a higher quality of life. In this work, we present an LSTM neural network that can quickly and accurately estimate the parameters of the tumor dynamics model based on noisy virtual patient data. In addition, we present a genetic algorithm designed for therapy optimization, which is able to predict the most appropriate personalized therapy based on the estimated parameters. In this work, we focus on finding the optimal hyperparameters of this genetic algorithm. Optimizing the hyperparameters is of fundamental importance in designing the best possible personalized therapy. © 2024, Budapest Tech Polytechnical Institution. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Dömény, Martin Ferenc AU - Puskás, Melánia AU - Kovács, Levente AU - Mac, Thi Thoa AU - Drexler, Dániel András TI - Detecting critical supervision intervals during in silico chemotherapy treatments JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 9 SP - 247 EP - 261 PG - 15 SN - 1785-8860 DO - 10.12700/APH.21.9.2024.9.17 UR - https://m2.mtmt.hu/api/publication/35257810 ID - 35257810 LA - English DB - MTMT ER - TY - CHAP AU - Dömény, Martin Ferenc AU - Puskás, Melánia AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Genetic algorithm-based chemotherapy optimization using basis functions T2 - IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI 2024) : Proceedings PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Danvers (MA) SN - 9798350353426 PY - 2024 SP - 191 EP - 196 PG - 6 DO - 10.1109/CINTI63048.2024.10830914 UR - https://m2.mtmt.hu/api/publication/35593021 ID - 35593021 LA - English DB - MTMT ER - TY - CHAP AU - Dömény, Martin Ferenc AU - Puskás, Melánia AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Multi-objective chemotherapy optimization using NSGA-II and Epsilon-constraint method T2 - IEEE 22nd International Symposium on Intelligent Systems and Informatics (SISY 2024) PB - IEEE Hungary Section CY - Pula SN - 9798350385595 PY - 2024 SP - 179 EP - 184 PG - 6 DO - 10.1109/SISY62279.2024.10737606 UR - https://m2.mtmt.hu/api/publication/35333016 ID - 35333016 LA - English DB - MTMT ER - TY - CHAP AU - Drexler, Dániel András AU - Dömény, Martin Ferenc AU - Ferenci, Tamás AU - Gergics, Borbála AU - Kisbenedek, Lilla AU - Puskás, Melánia AU - Szűcs, Tamás Dániel AU - Kovács, Levente ED - Kovács, Levente ED - Haidegger, Tamás ED - Szakál, Anikó TI - Cyber-Medical Systems in Chemotherapy Treatment Optimization T2 - Recent Advances in Intelligent Engineering PB - Springer Nature Switzerland CY - Cham SN - 9783031582578 T3 - Topics in Intelligent Engineering and Informatics, ISSN 2193-9411 ; 18. PY - 2024 SP - 245 EP - 269 PG - 25 DO - 10.1007/978-3-031-58257-8_13 UR - https://m2.mtmt.hu/api/publication/35163678 ID - 35163678 LA - English DB - MTMT ER - TY - CHAP AU - Kisbenedek, Lilla AU - Puskás, Melánia AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Anomaly detection of time series containing tumor volumes T2 - IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2024 : Proceedings PB - IEEE Hungary Section CY - Budapest SN - 9798350350159 PY - 2024 SP - 000067 EP - 000072 PG - 6 DO - 10.1109/ICCC62278.2024.10582921 UR - https://m2.mtmt.hu/api/publication/34768809 ID - 34768809 LA - English DB - MTMT ER - TY - CHAP AU - Patakvölgyi, Vivien Roxána AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Artificial neural networks based cell counting techniques using microscopic images: A review T2 - 18th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2024 : Proceedings PB - Institute of Electrical and Electronics Engineers (IEEE) CY - New York, New York SN - 9798350329520 T3 - Proceedings - International Symposium on Applied Computational Intelligence and Informatics, SACI, ISSN 2833-9010 PY - 2024 SP - 327 EP - 331 PG - 5 DO - 10.1109/SACI60582.2024.10619063 UR - https://m2.mtmt.hu/api/publication/34890582 ID - 34890582 N1 - Export Date: 9 September 2024 LA - English DB - MTMT ER - TY - CHAP AU - Patakvölgyi, Vivien Roxána AU - Kovács, Levente AU - Drexler, Dániel András ED - Szakál, Anikó TI - Synthetic data generation based on microscopic images of cancer cells T2 - IEEE 24th International Symposium on Computational Intelligence and Informatics (CINTI 2024) : Proceedings PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Danvers (MA) SN - 9798350353426 PY - 2024 SP - 209 EP - 214 PG - 6 DO - 10.1109/CINTI63048.2024.10830770 UR - https://m2.mtmt.hu/api/publication/35593185 ID - 35593185 LA - English DB - MTMT ER - TY - CHAP AU - Puskás, Melánia AU - Gergics, Borbála AU - Kovács, Levente AU - Drexler, Dániel András ED - Zamojski, Wojciech ED - Mazurkiewicz, Jacek ED - Sugier, Jarosław ED - Walkowiak, Tomasz ED - Kacprzyk, Janusz TI - Tumor Volume Measurements in Animal Experiments: Current Approaches and Their Limitations T2 - System Dependability - Theory and Applications PB - Springer Nature Switzerland CY - Cham SN - 9783031618574 T3 - Lecture Notes in Networks and Systems, ISSN 2367-3370 ; 1026. PY - 2024 SP - 206 EP - 217 PG - 12 DO - 10.1007/978-3-031-61857-4_20 UR - https://m2.mtmt.hu/api/publication/35155799 ID - 35155799 LA - English DB - MTMT ER -