@article{MTMT:35155259,
	title = {The potential of RFID technology for tracking Mangalica pigs in the extensive farming system–a research from Hungary},
	url = {https://m2.mtmt.hu/api/publication/35155259},
	author = {Angyalné Alexy, Márta and Pai, Rohit Rameshkumar and Ferenci, Tamás and Haidegger, Tamás},
	doi = {10.3389/past.2024.12854},
	journal-iso = {PASTORALISM RES POLICY PRACT},
	journal = {PASTORALISM : RESEARCH, POLICY AND PRACTICE},
	volume = {14},
	unique-id = {35155259},
	issn = {2041-7136},
	year = {2024},
	eissn = {2041-7136},
	pages = {&},
	orcid-numbers = {Ferenci, Tamás/0000-0001-6791-3080; Haidegger, Tamás/0000-0003-1402-1139}
}

@article{MTMT:34754744,
	title = {A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle Functions},
	url = {https://m2.mtmt.hu/api/publication/34754744},
	author = {Takács, Árpád and Haidegger, Tamás},
	doi = {10.3390/fi16040108},
	journal-iso = {FUTURE INTERNET},
	journal = {FUTURE INTERNET},
	volume = {16},
	unique-id = {34754744},
	issn = {1999-5903},
	year = {2024},
	eissn = {1999-5903},
	pages = {108-128},
	orcid-numbers = {Haidegger, Tamás/0000-0003-1402-1139}
}

@inproceedings{MTMT:34891599,
	title = {Digital Medical Devices in Infection Prevention and Control},
	url = {https://m2.mtmt.hu/api/publication/34891599},
	author = {Bánsághi, Száva and Gulácsi, László and Péntek, Márta and Haidegger, Tamás},
	booktitle = {SACI 2024: 18th IEEE International Symposium on Applied Computational Intelligence and Informatics: Proceedings},
	doi = {10.1109/SACI60582.2024.10619800},
	unique-id = {34891599},
	year = {2024},
	pages = {443-448},
	orcid-numbers = {Bánsághi, Száva/0000-0002-0742-3984; Haidegger, Tamás/0000-0003-1402-1139}
}

@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:34767385,
	title = {Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey},
	url = {https://m2.mtmt.hu/api/publication/34767385},
	author = {Hölgyesi, Áron and Zrubka, Zsombor and Gulácsi, László and Baji, Petra and Haidegger, Tamás and Kozlovszky, Miklós and Weszl, Miklós and Kovács, Levente and Péntek, Márta},
	doi = {10.1186/s12911-024-02470-x},
	journal-iso = {BMC MED INFORM DECIS},
	journal = {BMC MEDICAL INFORMATICS AND DECISION MAKING},
	volume = {24},
	unique-id = {34767385},
	issn = {1472-6947},
	year = {2024},
	eissn = {1472-6947},
	orcid-numbers = {Hölgyesi, Áron/0000-0001-8131-2839; Zrubka, Zsombor/0000-0002-1992-6087; Haidegger, Tamás/0000-0003-1402-1139; Weszl, Miklós/0000-0001-8000-4367; Kovács, Levente/0000-0002-3188-0800}
}

@article{MTMT:34722568,
	title = {Investigation of the Effectiveness of the Robotic ReStore Soft Exoskeleton in the Development of Early Mobilization, Walking, and Coordination of Stroke Patients: A Randomized Clinical Trial},
	url = {https://m2.mtmt.hu/api/publication/34722568},
	author = {Kóra, Szilvia and Biró, Adrienn and Prontvai, Nándor and Androsics, Mónika and Drotár, István and Prukner, Péter and Haidegger, Tamás and Széphelyi, Klaudia and Tollár, József},
	doi = {10.3390/robotics13030044},
	journal-iso = {ROBOTICS},
	journal = {ROBOTICS},
	volume = {13},
	unique-id = {34722568},
	abstract = {Medical robotics nowadays can prevent, treat, or alleviate numerous severe conditions, including the dire consequences of stroke. Our objective was to determine the effect of employing a robotic soft exoskeleton in therapy on the development of the early mobilization, gait, and coordination in stroke patients. The ReStore™ Soft Exo-Suit, a wearable exosuit developed by a leading company with exoskeleton technology, was utilized. It is a powered, lightweight device intended for use in stroke rehabilitation for people with lower limb disability. We performed a randomized clinical intervention, using a before–after trial design in a university hospital setting. A total of 48 patients with a history of stroke were included, of whom 39 were randomized and 30 completed the study. Interventions: Barthel Index and modified Rankin scale (mRS) patients were randomly assigned to a non-physical intervention control (n = 9 of 39 completed, 30 withdrew before baseline testing), or to a high-intensity agility program (15 sessions, 5 weeks, n = 30 completed). The main focus of assessment was on the Modified Rankin Scale. Additionally, we evaluated secondary factors including daily life functionality, five dimensions of health-related quality of life, the Beck depression inventory, the 6 min walk test (6MWT), the Berg Balance Scale (BBS), and static balance (center of pressure). The Robot-Assisted Gait Therapy (ROB/RAGT) program led to significant improvements across various measures, including a 37% improvement in Barthel Index scores, a 56% increase in 10 m walking speed, and a 68% improvement in 6 min walking distance, as well as notable enhancements in balance and stability. Additionally, the intervention group demonstrated significant gains in all these aspects compared to the control group. In conclusion, the use of robotic therapy can be beneficial in stroke rehabilitation. These devices support the restoration and improvement of movement in various ways and contribute to restoring balance and stability.},
	keywords = {Stroke rehabilitation; Robotic therapy; robot-assisted exercise},
	year = {2024},
	eissn = {2218-6581},
	orcid-numbers = {Prukner, Péter/0000-0001-9444-4996; Haidegger, Tamás/0000-0003-1402-1139; Tollár, József/0000-0001-7607-6739}
}

@book{MTMT:35163634,
	title = {Recent Advances in Intelligent Engineering},
	url = {https://m2.mtmt.hu/api/publication/35163634},
	isbn = {9783031582561},
	doi = {10.1007/978-3-031-58257-8},
	editor = {Kovács, Levente and Haidegger, Tamás and Szakál, Anikó},
	publisher = {Springer Nature Switzerland AG},
	unique-id = {35163634},
	year = {2024},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800; Haidegger, Tamás/0000-0003-1402-1139}
}

@{MTMT:35163646,
	title = {Surgical Data Science: Emerging Trends and Future Pathways},
	url = {https://m2.mtmt.hu/api/publication/35163646},
	author = {Levendovics, Renáta and Levendovics, Tamás and Kronreif, Gernot and Haidegger, Tamás},
	booktitle = {Recent Advances in Intelligent Engineering},
	doi = {10.1007/978-3-031-58257-8_5},
	unique-id = {35163646},
	year = {2024},
	pages = {65-84},
	orcid-numbers = {Haidegger, Tamás/0000-0003-1402-1139}
}

@article{MTMT:34723269,
	title = {Sensor-Based Measurement Method to Support the Assessment of Robot-Assisted Radiofrequency Ablation},
	url = {https://m2.mtmt.hu/api/publication/34723269},
	author = {Marton, Hilda Zsanett and Inczeffy, Pálma Emese and Kis, Zsuzsanna and Kardos, Attila and Haidegger, Tamás},
	doi = {10.3390/s24051699},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {24},
	unique-id = {34723269},
	year = {2024},
	eissn = {1424-8220},
	orcid-numbers = {Marton, Hilda Zsanett/0000-0003-0350-7651; Haidegger, Tamás/0000-0003-1402-1139}
}

@article{MTMT:34656076,
	title = {RoBUTCHER: A novel robotic meat factory cell platform},
	url = {https://m2.mtmt.hu/api/publication/34656076},
	author = {Mason, Alex and de Medeiros Esper, Ian and Korostynska, Olga and Cordova-Lopez, Luis Eduardo and Romanov, Dmytro and Pinceková, Michaela and Bjørnstad, Per Håkon and Alvseike, Ole and Popov, Anton and Smolkin, Oleh and Manko, Maksym and Christensen, Lars Bager and Takács, Kristóf and Haidegger, Tamás},
	doi = {10.1177/02783649241234035},
	journal-iso = {INT J ROBOT RES},
	journal = {INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH},
	volume = {&},
	unique-id = {34656076},
	issn = {0278-3649},
	abstract = {Automation is critically important for sustainability in meat production, where heavy reliance on human labour is a growing challenge. In this work, a novel robotic Meat Factory Cell (MFC) platform presents the opportunity for unconventional automation in pork meat processing, particularly abattoirs. Instead of following line-based approaches, which are the main option today, it uses robotics and Artificial Intelligence (AI) to perform complex cutting and manipulation operations on entire unchilled pork carcasses, with awareness of biological variation and deformation. The long-term goal of the MFC is to take a pork carcass as an input and produce seven primal outputs: hams, shoulders, saddle, belly and entire organ set. However, the MFC platform is under continuous development – therefore, this paper aims to demonstrate it through a specific use-case: shoulder removal. The system is evaluated based on data from testing and development sessions (June–November 2022), with a total of 34 attempted shoulder removals. Data regarding the MFCs’ ability to handle variation, in addition to success rate and process timing models are presented. Qualitative feedback from skilled butchers is also discussed. The authors propose that, as well as technical development of the platform, it is important to consider new ways of comparing unconventional systems with their conventional counterparts. Innovative manufacturing systems have more to offer than raw speed and volume; traits such as flexibility, robustness and scalability – particularly economic scalability – should play a prominent role. Future legislation and standards must also encourage innovation rather than hinder innovative robotics solutions.},
	year = {2024},
	eissn = {1741-3176},
	pages = {&},
	orcid-numbers = {Mason, Alex/0000-0002-0147-9135; Korostynska, Olga/0000-0003-0387-6609; Romanov, Dmytro/0000-0002-4077-8306; Alvseike, Ole/0000-0002-1748-3470; Christensen, Lars Bager/0000-0002-3371-5059; Haidegger, Tamás/0000-0003-1402-1139}
}