@article{MTMT:35663917,
	title = {The Use of Voice Control in 3D Medical Data Visualization Implementation, Legal, and Ethical Issues},
	url = {https://m2.mtmt.hu/api/publication/35663917},
	author = {Vincze, Miklós and Molnar, Bela and Kozlovszky, Miklós},
	doi = {10.3390/info16010012},
	journal-iso = {INFORMATION-BASEL},
	journal = {INFORMATION (BASEL)},
	volume = {16},
	unique-id = {35663917},
	abstract = {Voice-controlled devices are becoming increasingly common in our everyday lives as well as in medicine. Whether it is our smartphones, with voice assistants that make it easier to access functions, or IoT (Internet of Things) devices that let us control certain areas of our home with voice commands using sensors and different communication networks, or even medical robots that can be controlled by a doctor with voice instructions. Over the last decade, systems using voice control have made great progress, both in terms of accuracy of voice processing and usability. The topic of voice control is intertwined with the application of artificial intelligence (AI), as the mapping of spoken commands into written text and their understanding is mostly conducted by some kind of trained AI model. Our research had two objectives. The first was to design and develop a system that enables doctors to evaluate medical data in 3D using voice control. The second was to describe the legal and ethical issues involved in using AI-based solutions for voice control. During our research, we created a voice control module for an existing software called PathoVR, using a model taught by Google to interpret the voice commands given by the user. Our research, presented in this paper, can be divided into two parts. In the first, we have designed and developed a system that allows the user to evaluate 3D pathological medical serial sections using voice commands. In contrast, in the second part of our research, we investigated the legal and ethical issues that may arise when using voice control in the medical field. In our research, we have identified legal and ethical barriers to the use of artificial intelligence in voice control, which need to be answered in order to make this technology part of everyday medicine.},
	year = {2025},
	eissn = {2078-2489},
	pages = {12-31}
}

@inproceedings{MTMT:35710818,
	title = {The 3D visualization of digitalized pathological serial sections on a native resolution},
	url = {https://m2.mtmt.hu/api/publication/35710818},
	author = {Vincze, Miklós and Burian, Sándor and Kozlovszky, Miklós},
	booktitle = {IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025},
	doi = {10.1109/SAMI63904.2025.10883309},
	unique-id = {35710818},
	year = {2025},
	pages = {293-297}
}

@inproceedings{MTMT:35711068,
	title = {OUbot: The design and development of an underwater vehicle},
	url = {https://m2.mtmt.hu/api/publication/35711068},
	author = {Burian, Sándor and Vincze, Miklós and Dóczi, Roland and Garamvölgyi, Tivadar and Takács, Bence and Sütő, Balázs and Virág, Dominik and Szűcs, László and Benhamida, Abdallah and Kozlovszky, Miklós},
	booktitle = {IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics SAMI 2025},
	doi = {10.1109/SAMI63904.2025.10883643},
	unique-id = {35711068},
	year = {2025},
	pages = {305-310}
}

@article{MTMT:36134839,
	title = {Quality Assurance of the Whole Slide Image Evaluation in Digital Pathology: State of the Art and Development Results},
	url = {https://m2.mtmt.hu/api/publication/36134839},
	author = {Vincze, Miklós and Molnár, Béla and Kozlovszky, Miklós},
	doi = {10.3390/electronics14101943},
	journal = {ELECTRONICS (SWITZ)},
	volume = {14},
	unique-id = {36134839},
	issn = {2079-9292},
	abstract = {One of the key issues in medicine is quality assurance. It is essential to ensure the quality, consistency and validity of the various diagnostic processes performed. Today, the reproducibility and quality assurance of the analysis of digitized image data is an unsolved problem. Our research has focused on the design and development of functionalities that can be used to greatly increase the verifiability of the evaluation of digitized medical image data, thereby reducing the number of misdiagnoses. In addition, our research presents a possible application of eye-tracking to determine the evaluation status of medical samples. At the beginning of our research, we looked at how eye-tracking technology is used in medical fields today and investigated the consistency of medical diagnoses. In our research, we designed and implemented a solution that can determine the evaluation state of a tomogram-type 3D sample by monitoring physiological and software parameters while using the software. In addition, our solution described in this paper is able to capture and reconstruct/replay complete VR diagnoses made in a 3D environment. This allows the diagnoses made in our system to be shared and further evaluated. We set up our own equations to quantify the evaluation status of a given 3D tomogram. At the end of the paper, we summarize our results and compare them with those of other researchers.},
	year = {2025},
	eissn = {2079-9292},
	pages = {1943-1963}
}

@inproceedings{MTMT:36190935,
	title = {The interactive 3D visualisation of diagnostic data},
	url = {https://m2.mtmt.hu/api/publication/36190935},
	author = {Vincze, Miklós and Saulaiman, Mera and Szigeti, Gyula Péter and Kozlovszky, Miklós},
	booktitle = {2025 IEEE 29th International Conference on Intelligent Engineering Systems (INES)},
	doi = {10.1109/INES67149.2025.11078193},
	unique-id = {36190935},
	year = {2025},
	pages = {311-315},
	orcid-numbers = {Szigeti, Gyula Péter/0000-0003-0411-9992}
}

@inproceedings{MTMT:36459821,
	title = {Real-Time Event Simulation: Present Status and Fields of Application – A Scoping Review},
	url = {https://m2.mtmt.hu/api/publication/36459821},
	author = {Matula, Márton and Nagy, Bence István and Gulyás, Roland and Vincze, Miklós and Horváth, Botond and Galambos, Péter and Komlódi, Martin and Horti, Dániel and Kozlovszky, Miklós},
	booktitle = {IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings},
	unique-id = {36459821},
	year = {2025},
	pages = {727-732},
	orcid-numbers = {Galambos, Péter/0000-0002-2319-0551}
}

@article{MTMT:36880024,
	title = {The 3D fusion of complex medical image data in virtual reality},
	url = {https://m2.mtmt.hu/api/publication/36880024},
	author = {Vincze, Miklós and Kozlovszky, Miklós and Molnar, B.},
	journal-iso = {VIRCHOWS ARCH},
	journal = {VIRCHOWS ARCHIV},
	volume = {487},
	unique-id = {36880024},
	issn = {0945-6317},
	year = {2025},
	eissn = {1432-2307},
	pages = {S331-S331}
}

@article{MTMT:34983369,
	title = {Psychometric Properties of the Knowledge of Hydration among Foreign Students of Óbuda University, Hungary},
	url = {https://m2.mtmt.hu/api/publication/34983369},
	author = {Ogbolu, Melvin and Eniade, O D and Vincze, Miklós and Kozlovszky, Miklós},
	doi = {10.3390/healthcare12111152},
	journal-iso = {HEALTHCARE-BASEL},
	journal = {HEALTHCARE},
	volume = {12},
	unique-id = {34983369},
	abstract = {It is known that the quantity, makeup, and distribution of bodily fluids have a significant impact on the cognitive health, physiological health, and cell activity of human beings. This narrative could be influenced by the level of knowledge about hydration, dehydration, and the practice of Adequate Water Intake (AWI) of an individual based on the recommended daily Total Water Intake (TWI) by either the World Health Organization (WHO) or the European Food Safety Authority (EFSA). In this study, we have developed and validated a scale to adequately measure knowledge of the recommended daily Total Water Intake (TWI) practices among foreign students at Óbuda University, Hungary. Hence, we implemented an 11-item scale to measure the Knowledge of Hydration (KH-11) and evaluate its psychometric properties among students. This study is an online cross-sectional study assessing water intake knowledge with the use of the KH-11 tool among 323 students with ages ranging from 18 to 35 years, who have enrolled for at least two semesters at the University. The statistical analysis performed was reliability (using Cronbach alpha ≥ 70%) and factor analysis. Knowledge levels were categorized as poor (<50%), intermediate (50–70%), or adequate (71–100%). The intraclass correlation, chi-square, and rotated component matrix were also estimated and reported. Data were analyzed using SPSS version 25. Cronbach’s alpha analysis revealed that the KH-11 had an overall good reliability with a value of 0.80, where the survey items had an acceptable level of consistency ranging from 0.75 to 0.81 and demonstrated sufficient independence from each other as Pearson’s R within factors was positive and ranged from 0.02 to 0.74. In evaluating the participants’ knowledge of hydration, the total possible score for the scale is 72, while the mean score for the KH-11 was 55.2 ± 11.61 SD, and the factor analysis model yielded an acceptable fit (χ2 = 3259.4, p = 0.000). We recorded a high-level positive concordance of 0.770 with an average intraclass correlation of 0.80 at a 95% CI, where p-value = 0.000. Our findings show that the majority (66.3%) of the students have a good knowledge of hydration. However, the skewed distribution of the knowledge scores suggests that some may have lower levels of knowledge, which may warrant further study to improve knowledge in those students.},
	year = {2024},
	eissn = {2227-9032},
	orcid-numbers = {Eniade, O D/0000-0001-7142-3818}
}

@inproceedings{MTMT:35145973,
	title = {Fuzzy logic based quality of service calculation for real-time 3D video streaming},
	url = {https://m2.mtmt.hu/api/publication/35145973},
	author = {Vincze, Miklós and Takács, Márta and Kozlovszky, Miklós},
	booktitle = {2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES 2024)},
	doi = {10.1109/INES63318.2024.10629107},
	unique-id = {35145973},
	year = {2024},
	pages = {77-82}
}

@inproceedings{MTMT:35146144,
	title = {Securing Real-Time 3D Video Streaming in Digital Pathology - Challenges and Recommendations},
	url = {https://m2.mtmt.hu/api/publication/35146144},
	author = {Saulaiman, Mera and Vincze, Miklós and Csilling, Ákos and Kozlovszky, Miklós},
	booktitle = {2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES 2024)},
	doi = {10.1109/INES63318.2024.10629125},
	unique-id = {35146144},
	year = {2024},
	pages = {105-110}
}