@book{MTMT:34881627,
	title = {Mouse dynamics based intrusion detection system: Behavioural Artificial Intelligence},
	url = {https://m2.mtmt.hu/api/publication/34881627},
	isbn = {9789999318013},
	author = {Dénes-Fazakas, Lehel},
	publisher = {Eliva Press},
	unique-id = {34881627},
	year = {2024},
	orcid-numbers = {Dénes-Fazakas, Lehel/0009-0003-9879-5664}
}

@misc{MTMT:34877764,
	title = {Kormányzati megoldások. Digitális fejlesztések a közegészségügyben},
	url = {https://m2.mtmt.hu/api/publication/34877764},
	author = {Zrubka, Zsombor},
	unique-id = {34877764},
	year = {2024},
	orcid-numbers = {Zrubka, Zsombor/0000-0002-1992-6087}
}

@article{MTMT:34871883,
	title = {Advancing Medical Assistance: Developing an Effective Hungarian-Language Medical Chatbot with Artificial Intelligence},
	url = {https://m2.mtmt.hu/api/publication/34871883},
	author = {Simon, Barbara and Hartveg, Ádám and Dénes-Fazakas, Lehel and Szilágyi, László and Eigner, György},
	doi = {10.3390/info15060297},
	journal-iso = {INFORMATION-BASEL},
	journal = {INFORMATION (BASEL)},
	volume = {15},
	unique-id = {34871883},
	abstract = {In recent times, the prevalence of chatbot technology has notably increased, particularly in the realm of medical assistants. However, there is a noticeable absence of medical chatbots that cater to the Hungarian language. Consequently, Hungarian-speaking people currently lack access to an automated system capable of providing assistance with their health-related inquiries or issues. Our research aims to establish a competent medical chatbot assistant that is accessible through both a website and a mobile app. It is crucial to highlight that the project’s objective extends beyond mere linguistic localization; our goal is to develop an official and effectively functioning Hungarian chatbot. The assistant’s task is to answer medical questions, provide health advice, and inform users about health problems and treatments. The chatbot should be able to recognize and interpret user-provided text input and offer accurate and relevant responses using specific algorithms. In our work, we put a lot of emphasis on having steady input so that it can detect all the diseases that the patient is dealing with. Our database consisted of sentences and phrases that a user would type into a chatbot. We assigned health problems to these and then assigned the categories to the corresponding cure. Within the research, we developed a website and mobile app, so that users can easily use the assistant. The app plays a particularly important role for users because it allows them to use the assistant anytime and anywhere, taking advantage of the portability of mobile devices. At the current stage of our research, the precision and validation accuracy of the system is greater than 90%, according to the selected test methods.},
	year = {2024},
	eissn = {2078-2489},
	pages = {297},
	orcid-numbers = {Dénes-Fazakas, Lehel/0009-0003-9879-5664}
}

@article{MTMT:34849856,
	title = {Strategies and Outcomes of Building a Successful University Research and Innovation Ecosystem},
	url = {https://m2.mtmt.hu/api/publication/34849856},
	author = {Haidegger, Tamás and Galambos, Péter and Tar, József and Kovács, Levente and Kozlovszky, Miklós and Zrubka, Zsombor and Eigner, György and Drexler, Dániel András and Szakál, Anikó and Reicher, Viktória and Árendás, Csaba and Tarsoly, Sándor and Garamvölgyi, Tivadar and Rudas, Imre},
	doi = {10.12700/APH.21.10.2024.10.2},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {21},
	unique-id = {34849856},
	issn = {1785-8860},
	year = {2024},
	eissn = {1785-8860},
	pages = {13-35},
	orcid-numbers = {Haidegger, Tamás/0000-0003-1402-1139; Galambos, Péter/0000-0002-2319-0551; Tar, József/0000-0002-5476-401X; Kovács, Levente/0000-0002-3188-0800; Zrubka, Zsombor/0000-0002-1992-6087; Rudas, Imre/0000-0002-2067-8578}
}

@article{MTMT:34836311,
	title = {Comparative analysis of late gadolinium enhancement assessment techniques for monitoring fibrotic changes in myocarditis follow-up},
	url = {https://m2.mtmt.hu/api/publication/34836311},
	author = {Károlyi, Mihály and Polacin, Malgorzata and Kolossváry, Márton József and Sokolska, Justyna M. and Matziris, Ioannis and Weber, Lucas and Alkadhi, Hatem and Manka, Robert},
	doi = {10.1007/s00330-024-10756-x},
	journal-iso = {EUR RADIOL},
	journal = {EUROPEAN RADIOLOGY},
	unique-id = {34836311},
	issn = {0938-7994},
	year = {2024},
	eissn = {1432-1084},
	pages = {1-11},
	orcid-numbers = {Károlyi, Mihály/0000-0002-9912-7030; Kolossváry, Márton József/0000-0002-5570-991X; Manka, Robert/0000-0002-3383-4998}
}

@article{MTMT:34833010,
	title = {Assessment of Surgeons’ Stress Levels with Digital Sensors during Robot-Assisted Surgery: An Experimental Study},
	url = {https://m2.mtmt.hu/api/publication/34833010},
	author = {Takács, Kristóf and Lukács, Eszter and Levendovics, Renáta and Pekli, Damján and Szijártó, Attila and Haidegger, Tamás},
	doi = {10.3390/s24092915},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {24},
	unique-id = {34833010},
	abstract = {Robot-Assisted Minimally Invasive Surgery (RAMIS) marks a paradigm shift in surgical procedures, enhancing precision and ergonomics. Concurrently it introduces complex stress dynamics and ergonomic challenges regarding the human–robot interface and interaction. This study explores the stress-related aspects of RAMIS, using the da Vinci XI Surgical System and the Sea Spikes model as a standard skill training phantom to establish a link between technological advancement and human factors in RAMIS environments. By employing different physiological and kinematic sensors for heart rate variability, hand movement tracking, and posture analysis, this research aims to develop a framework for quantifying the stress and ergonomic loads applied to surgeons. Preliminary findings reveal significant correlations between stress levels and several of the skill-related metrics measured by external sensors or the SURG-TLX questionnaire. Furthermore, early analysis of this preliminary dataset suggests the potential benefits of applying machine learning for surgeon skill classification and stress analysis. This paper presents the initial findings, identified correlations, and the lessons learned from the clinical setup, aiming to lay down the cornerstones for wider studies in the fields of clinical situation awareness and attention computing.},
	year = {2024},
	eissn = {1424-8220},
	orcid-numbers = {Lukács, Eszter/0009-0001-7585-281X; Haidegger, Tamás/0000-0003-1402-1139}
}

@article{MTMT:34814687,
	title = {Stabilization of nonlinear stochastic systems with input and output delays via event-triggered predictive control},
	url = {https://m2.mtmt.hu/api/publication/34814687},
	author = {Deng, Ding-Lin and He, Ping and Shi, Peng and Kovács, Levente},
	doi = {10.1002/rnc.7309},
	journal-iso = {INT J ROBUST NONLIN},
	journal = {INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL},
	unique-id = {34814687},
	issn = {1049-8923},
	keywords = {STABILIZATION; Nonlinear stochastic systems; event-triggered predictive control; input and output delays},
	year = {2024},
	eissn = {1099-1239},
	orcid-numbers = {He, Ping/0000-0001-7340-9606; Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:34812968,
	title = {Low-Cost Autonomous Trains and Safety Systems Implementation, using Computer Vision},
	url = {https://m2.mtmt.hu/api/publication/34812968},
	author = {Suciu, Dan Andrei and Dulf, Éva-Henrietta and Kovács, Levente},
	doi = {10.12700/APH.21.9.2024.9.3},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {21},
	unique-id = {34812968},
	issn = {1785-8860},
	keywords = {SAFETY; machine learning; automation; Computer vision; QUANTIZATION; railway; European Rail Traffic Management System},
	year = {2024},
	eissn = {1785-8860},
	pages = {29-43},
	orcid-numbers = {Dulf, Éva-Henrietta/0000-0002-6540-6525; Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:34799311,
	title = {Szilvay Kornél, a tűzoltóság műszaki eszközeinek fejlesztője. A szárazoltó berendezés szabadalma},
	url = {https://m2.mtmt.hu/api/publication/34799311},
	author = {Gáti, József and Némethy, Krisztina},
	journal-iso = {TERMÉSZET VILÁGA},
	journal = {TERMÉSZET VILÁGA},
	volume = {155},
	unique-id = {34799311},
	issn = {0040-3717},
	year = {2024},
	pages = {154-158}
}

@article{MTMT:34797580,
	title = {A fájdalom intenzitását mérő skálák összehasonlítása ágyéki gerincfájdalommal élők körében},
	url = {https://m2.mtmt.hu/api/publication/34797580},
	author = {Nagy, Zoltán and Kiss, Nóra and Szigeti, Mátyás and Áfra, Judit and Lekka, Norbert and Misik, Ferenc and Mucsi, István and Banczerowski, Péter},
	doi = {10.18071/isz.77.0131},
	journal-iso = {IDEGGYOGY SZEMLE},
	journal = {IDEGGYOGYASZATI SZEMLE / CLINICAL NEUROSCIENCE},
	volume = {77},
	unique-id = {34797580},
	issn = {0019-1442},
	abstract = {Pain intensity is the most frequently assessed health domain in clinical studies among patients with low-back pain. Visual analogue scale (VAS) and Numeric rating scale (NRS) have been the mostly used measurement tools for pain intensity. We proposed to correlate these instruments to a generic health-related quality of life measurement tool in order to show the scale with superior clinical relevance..We used cross-sectional, convenience sampling. 120 patients with chronic low-back pain administered the 29-item Patient Reported Outcomes Measurement Information System Profile with NRS included, and the VAS scale in the National Institute of Mental Health, Neurology and Neurosurgery. We determined the correlation between PROMIS domain T-scores and VAS and NRS scores..We performed Spearman rank correlation test to calculate the correlation coefficient. We found VAS scales measuring pain had weak to moderate correlations with all PROMIS health domains (r = 0.24–0.55). Therefore, we compared correlation of PROMIS domain scores with PROMIS pain intensity numeric rating scale and VAS scales. PROMIS domains had moderate to strong correlations with pain intensity scale (r = 0.45–0.71). PROMIS physical function short form [r = –0.65, 95% CI (–0.75) – (–0.55)] and PROMIS pain interference short form (r = 0.71, 95% CI 0.63 – 0.79) had the strongest correlation with pain intensity item..NRS has showed greater correlation with PROMIS domain T-scores than VAS scale. This may prove that NRS has greater connection to another health domains, thus it correlated more to health-related quality of life than visual scale. We recommend NRS to use in further clinical studies conducted among patients with low-back pain..},
	keywords = {PAIN; spine; Vas; NRS; PROMIS},
	year = {2024},
	eissn = {2498-6208},
	pages = {131-135},
	orcid-numbers = {Szigeti, Mátyás/0000-0001-7250-7888; Banczerowski, Péter/0000-0003-2144-5298}
}