@article{MTMT:34786803,
	title = {SuperCUT, an unsupervised multimodal image registration with deep learning for biomedical microscopy},
	url = {https://m2.mtmt.hu/api/publication/34786803},
	author = {Grexa, István and Iván, Zsanett Zsófia and Migh, Ede and Kovács, Ferenc and Bolck, Hella A and Zheng, Xiang and Mund, Andreas and Moshkov, Nikita and Csapóné Miczán, Vivien and Koós, Krisztián and Horváth, Péter},
	doi = {10.1093/bib/bbae029},
	journal-iso = {BRIEF BIOINFORM},
	journal = {BRIEFINGS IN BIOINFORMATICS},
	volume = {25},
	unique-id = {34786803},
	issn = {1467-5463},
	abstract = {Numerous imaging techniques are available for observing and interrogating biological samples, and several of them can be used consecutively to enable correlative analysis of different image modalities with varying resolutions and the inclusion of structural or molecular information. Achieving accurate registration of multimodal images is essential for the correlative analysis process, but it remains a challenging computer vision task with no widely accepted solution. Moreover, supervised registration methods require annotated data produced by experts, which is limited. To address this challenge, we propose a general unsupervised pipeline for multimodal image registration using deep learning. We provide a comprehensive evaluation of the proposed pipeline versus the current state-of-the-art image registration and style transfer methods on four types of biological problems utilizing different microscopy modalities. We found that style transfer of modality domains paired with fully unsupervised training leads to comparable image registration accuracy to supervised methods and, most importantly, does not require human intervention.},
	year = {2024},
	eissn = {1477-4054},
	orcid-numbers = {Mund, Andreas/0000-0002-7843-5341}
}

@article{MTMT:34567532,
	title = {Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches},
	url = {https://m2.mtmt.hu/api/publication/34567532},
	author = {Welsh, Joshua A. and Goberdhan, Deborah C. I. and O'Driscoll, Lorraine and Buzás, Edit Irén and Blenkiron, Cherie and Bussolati, Benedetta and Cai, Houjian and Di Vizio, Dolores and Driedonks, Tom A. P. and Erdbrügger, Uta and Falcon‐Perez, Juan M. and Fu, Qing‐Ling and Hill, Andrew F. and Lenassi, Metka and Lim, Sai Kiang and Mahoney, Mỹ G. and Mohanty, Sujata and Möller, Andreas and Nieuwland, Rienk and Ochiya, Takahiro and Sahoo, Susmita and Torrecilhas, Ana C. and Zheng, Lei and Zijlstra, Andries and Abuelreich, Sarah and Bagabas, Reem and Bergese, Paolo and Bridges, Esther M. and Brucale, Marco and Burger, Dylan and Carney, Randy P. and Cocucci, Emanuele and Colombo, Federico and Crescitelli, Rossella and Hanser, Edveena and Harris, Adrian L. and Haughey, Norman J. and Hendrix, An and Ivanov, Alexander R. and Jovanovic‐Talisman, Tijana and Kruh‐Garcia, Nicole A. and Ku'ulei‐Lyn Faustino, Vroniqa and Kyburz, Diego and Lässer, Cecilia and Lennon, Kathleen M. and Lötvall, Jan and Maddox, Adam L. and Martens‐Uzunova, Elena S. and Mizenko, Rachel R. and Newman, Lauren A. and Ridolfi, Andrea and Rohde, Eva and Rojalin, Tatu and Rowland, Andrew and Saftics, Andras and Sandau, Ursula S. and Saugstad, Julie A. and Shekari, Faezeh and Swift, Simon and Ter‐Ovanesyan, Dmitry and Tosar, Juan P. and Useckaite, Zivile and Valle, Francesco and Varga, Zoltán and van der Pol, Edwin and van Herwijnen, Martijn J. C. and Wauben, Marca H. M. and Wehman, Ann M. and Williams, Sarah and Zendrini, Andrea and Zimmerman, Alan J. and Théry, Clotilde and Witwer, Kenneth W. and Haseeb, Zubair},
	doi = {10.1002/jev2.12404},
	journal-iso = {J EXTRACELLULAR VESICL},
	journal = {JOURNAL OF EXTRACELLULAR VESICLES},
	volume = {13},
	unique-id = {34567532},
	abstract = {Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year‐on‐year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non‐vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its ‘Minimal Information for Studies of Extracellular Vesicles’, which was first published in 2014 and then in 2018 as MISEV2014 and MISEV2018, respectively. The goal of the current document, MISEV2023, is to provide researchers with an updated snapshot of available approaches and their advantages and limitations for production, separation and characterisation of EVs from multiple sources, including cell culture, body fluids and solid tissues. In addition to presenting the latest state of the art in basic principles of EV research, this document also covers advanced techniques and approaches that are currently expanding the boundaries of the field. MISEV2023 also includes new sections on EV release and uptake and a brief discussion of in vivo approaches to study EVs. Compiling feedback from ISEV expert task forces and more than 1000 researchers, this document conveys the current state of EV research to facilitate robust scientific discoveries and move the field forward even more rapidly.},
	year = {2024},
	eissn = {2001-3078},
	orcid-numbers = {Welsh, Joshua A./0000-0002-1097-9756; Goberdhan, Deborah C. I./0000-0003-0645-6714; Buzás, Edit Irén/0000-0002-3744-206X; Bussolati, Benedetta/0000-0002-3663-5134; Cai, Houjian/0000-0003-4887-2652; Falcon‐Perez, Juan M./0000-0003-3133-0670; Hill, Andrew F./0000-0001-5581-2354; Lenassi, Metka/0000-0002-9488-6855; Mohanty, Sujata/0000-0002-0047-4914; Nieuwland, Rienk/0000-0002-5671-3400; Ochiya, Takahiro/0000-0002-0776-9918; Sahoo, Susmita/0000-0002-7279-1564; Torrecilhas, Ana C./0000-0001-5724-2199; Zheng, Lei/0000-0003-2576-8780; Zijlstra, Andries/0000-0001-8460-8803; Brucale, Marco/0000-0001-7244-4389; Carney, Randy P./0000-0001-8193-1664; Crescitelli, Rossella/0000-0002-1714-3169; Haughey, Norman J./0000-0001-5194-4122; Martens‐Uzunova, Elena S./0000-0002-5363-2525; Newman, Lauren A./0000-0003-3303-1666; Rohde, Eva/0000-0001-8692-886X; Sandau, Ursula S./0000-0002-3646-7089; Saugstad, Julie A./0000-0002-2996-9611; Shekari, Faezeh/0000-0001-6026-5412; Tosar, Juan P./0000-0002-2021-2479; Varga, Zoltán/0000-0002-5741-2669; Wauben, Marca H. M./0000-0003-0360-0311; Wehman, Ann M./0000-0001-9826-4132; Zimmerman, Alan J./0000-0001-6280-4790; Théry, Clotilde/0000-0001-8294-6884; Witwer, Kenneth W./0000-0003-1664-4233; Bodnár, Bernadett Réka/0000-0003-3347-9225; Bukva, Mátyás/0000-0002-5225-0285; Buzás, Edit Irén/0000-0002-3744-206X; Buzás, Krisztina/0000-0001-8933-2033; Dobra, Gabriella/0000-0002-2814-7720; Försönits, András/0000-0002-9298-8890; Gyukity-Sebestyén, Edina/0000-0003-1383-6301; Koncz, Anna/0000-0003-2511-2394; Lőrincz, Márton Ákos/0000-0002-2819-5116; Németh, Krisztina/0000-0002-3825-2137; Oláh, Attila/0000-0003-4122-5639; Osteikoetxea, Xabier/0000-0003-3628-0174; Pálóczi, Krisztina/0000-0001-7065-3582; Stepanova, Ganna/0000-0002-8285-2762; Visnovitz, Tamás/0000-0002-7962-5083; Wiener, Zoltán/0000-0001-7056-4926; Harmati, Mária/0000-0002-4875-5723; Hegyesi, Hargita/0000-0002-8800-5169}
}

@article{MTMT:34523817,
	title = {Tumour regression predicts better response to interferon therapy in melanoma patients. a retrospective single centre study.},
	url = {https://m2.mtmt.hu/api/publication/34523817},
	author = {Mezőlaki, Noémi and Baltás, Eszter and Ócsai, Henriette and Varga, Anita and Korom, Irma and Varga, Erika and Németh, István Balázs and Kis, Erika and Varga, János and Kocsis, Ádám László and Gyulai, Rolland Péter and Bukva, Mátyás and Kemény, Lajos and Oláh, Judit Magdolna},
	doi = {10.1097/CMR.0000000000000935},
	journal-iso = {MELANOMA RES},
	journal = {MELANOMA RESEARCH},
	volume = {34},
	unique-id = {34523817},
	issn = {0960-8931},
	abstract = {We hypothesise that regression may have an impact on the effectiveness of adjuvant IFN therapy, based on its role in the host immune response. Our purpose is to investigate regression and ulceration as prognostic factors in case of interferon-alpha (IFN)-treated melanoma patients. We followed 357 IFN-treated melanoma patients retrospectively, investigating progression-free survival (PFS) and overall survival (OS) depending on the presence of ulceration and regression. A Kaplan-Meier analysis was performed, and we used a Cox regression analysis to relate risk factors. The survival function of the Cox regression was used to measure the effect of regression and ulceration on PFS and OS depending on the Breslow thickness (T1-T4) of the primary tumour. Regression was significantly positively related to PFS ( P  = 0.0018, HR = 0.352) and OS ( P  = 0.0112, HR = 0.380), while ulceration showed a negative effect (PFS: P  = 0.0001, HR = 2.629; OS: P  = 0.0003, HR = 2.388). They influence survival independently. The most favourable outcome was measured in the regressed/non-ulcerated group, whereas the worse was in the non-regressed/ulcerated one. Of risk factors, Breslow thickness is the most significant predictor. The efficacy of regression is regardless of Breslow thickness, though the more favourable the impact of regression was in the thicker primary lesions. Our results indicate that regression is associated with a more favourable outcome for IFN-treated melanoma patients, whereas ulceration shows an inverse relation. Further studies are needed to analyse the survival benefit of regression in relation to innovative immune checkpoint inhibitors.},
	year = {2024},
	eissn = {1473-5636},
	pages = {54-62},
	orcid-numbers = {Baltás, Eszter/0000-0003-0357-7393; Gyulai, Rolland Péter/0000-0002-3286-8846; Bukva, Mátyás/0000-0002-5225-0285; Kemény, Lajos/0000-0002-2119-9501}
}

@CONFERENCE{MTMT:34761041,
	title = {A nemszindrómás hallásvesztés genetikai hátterének meghatározása kohleáris implantátummal rendelkező Magyarországi populációban},
	url = {https://m2.mtmt.hu/api/publication/34761041},
	author = {Pál, Margit and Nagy, Dóra and Neller, Alexandra and Farkas, Katalin and Leprán-Török, Dóra and Nagy, Nikoletta and Füstös, Dalma and Nagy, Roland and Rovó, László and Kis, József Géza and Széll, Márta},
	booktitle = {A Magyar Humángenetikai és Genomikai Társaság XIV. Kongresszusa},
	unique-id = {34761041},
	year = {2023},
	pages = {1},
	orcid-numbers = {Széll, Márta/0000-0002-0730-714X}
}

@misc{MTMT:34550533,
	title = {Egészségtudományi képzésben résztvevő egyetemisták derékfájdalommal kapcsolatos tudásának felmérése – egy egyszeri oktatás hatékonyságának vizsgálata},
	url = {https://m2.mtmt.hu/api/publication/34550533},
	author = {Kasza, Blanka Bernadett and Nákity, Kinga and Finta, Regina and Sápi, Mariann and Presznerné Domján, Andrea},
	unique-id = {34550533},
	year = {2023},
	orcid-numbers = {Kasza, Blanka Bernadett/0000-0003-0205-9834; Finta, Regina/0000-0002-2103-2605; Presznerné Domján, Andrea/0000-0002-1557-2680}
}

@article{MTMT:34526008,
	title = {Serdülőkori testfelépítés vizsgálata utánpótláskorú labdarúgók körében},
	url = {https://m2.mtmt.hu/api/publication/34526008},
	author = {Kasza, Blanka Bernadett and Finta, Regina and Nákity, Kinga and Juhász, Eleonóra and Presznerné Domján, Andrea},
	doi = {10.32967/etk.2023.035},
	journal-iso = {EGÉSZSÉGTUD KÖZL},
	journal = {EGÉSZSÉGTUDOMÁNYI KÖZLEMÉNYEK: A MISKOLCI EGYETEM KÖZLEMÉNYE},
	volume = {13},
	unique-id = {34526008},
	issn = {2063-2142},
	year = {2023},
	pages = {50-63},
	orcid-numbers = {Kasza, Blanka Bernadett/0000-0003-0205-9834; Finta, Regina/0000-0002-2103-2605; Presznerné Domján, Andrea/0000-0002-1557-2680}
}

@article{MTMT:34417027,
	title = {Machine learning-based analysis of cancer cell-derived vesicular proteins revealed significant tumor-specificity and predictive potential of extracellular vesicles for cell invasion and proliferation - A meta-analysis.},
	url = {https://m2.mtmt.hu/api/publication/34417027},
	author = {Bukva, Mátyás and Dobra, Gabriella and Gyukity-Sebestyén, Edina and Böröczky, Timea and Korsós, Marietta Margaréta and David G, Meckes and Horváth, Péter and Buzás, Krisztina and Harmati, Mária},
	doi = {10.1186/s12964-023-01344-5},
	journal-iso = {CELL COMM SIGN},
	journal = {CELL COMMUNICATION AND SIGNALING},
	volume = {21},
	unique-id = {34417027},
	issn = {1478-811X},
	abstract = {Although interest in the role of extracellular vesicles (EV) in oncology is growing, not all potential aspects have been investigated. In this meta-analysis, data regarding (i) the EV proteome and (ii) the invasion and proliferation capacity of the NCI-60 tumor cell lines (60 cell lines from nine different tumor types) were analyzed using machine learning methods.On the basis of the entire proteome or the proteins shared by all EV samples, 60 cell lines were classified into the nine tumor types using multiple logistic regression. Then, utilizing the Least Absolute Shrinkage and Selection Operator, we constructed a discriminative protein panel, upon which the samples were reclassified and pathway analyses were performed. These panels were validated using clinical data (n = 4,665) from Human Protein Atlas.Classification models based on the entire proteome, shared proteins, and discriminative protein panel were able to distinguish the nine tumor types with 49.15%, 69.10%, and 91.68% accuracy, respectively. Invasion and proliferation capacity of the 60 cell lines were predicted with R2 = 0.68 and R2 = 0.62 (p < 0.0001). The results of the Reactome pathway analysis of the discriminative protein panel suggest that the molecular content of EVs might be indicative of tumor-specific biological processes.Integrating in vitro EV proteomic data, cell physiological characteristics, and clinical data of various tumor types illuminates the diagnostic, prognostic, and therapeutic potential of EVs. Video Abstract.},
	keywords = {CLASSIFICATION; PROLIFERATION; INVASION; PREDICTION; machine learning; Extracellular vesicles; NCI-60},
	year = {2023},
	eissn = {1478-811X},
	orcid-numbers = {Bukva, Mátyás/0000-0002-5225-0285; Dobra, Gabriella/0000-0002-2814-7720; Gyukity-Sebestyén, Edina/0000-0003-1383-6301; Böröczky, Timea/0009-0009-3390-7809; Buzás, Krisztina/0000-0001-8933-2033; Harmati, Mária/0000-0002-4875-5723}
}

@article{MTMT:34316032,
	title = {Effect of sodium-glucose co-transporter inhibitors on arterial stiffness in patients with type 2 diabetes mellitus},
	url = {https://m2.mtmt.hu/api/publication/34316032},
	author = {Szigeti, J and Bukva, Mátyás and Gaszner, Balázs},
	doi = {10.1093/eurheartj/ehad655.2567},
	journal-iso = {EUR HEART J},
	journal = {EUROPEAN HEART JOURNAL},
	volume = {44},
	unique-id = {34316032},
	issn = {0195-668X},
	year = {2023},
	eissn = {1522-9645},
	orcid-numbers = {Bukva, Mátyás/0000-0002-5225-0285}
}

@article{MTMT:34231255,
	title = {Extracellular vesicle-mediated intercellular communication in cancer},
	url = {https://m2.mtmt.hu/api/publication/34231255},
	author = {Harmati, Mária and Bukva, Mátyás and Dobra, Gabriella and Gyukity-Sebestyén, Edina and Böröczky, Timea and Szabó, Zoltán and Kónya, Zoltán and Horvath, Peter and Klekner, Almos and Buzás, Krisztina},
	journal-iso = {EUR J IMMUNOL},
	journal = {EUROPEAN JOURNAL OF IMMUNOLOGY},
	volume = {53},
	unique-id = {34231255},
	issn = {0014-2980},
	year = {2023},
	eissn = {1521-4141},
	pages = {39-40},
	orcid-numbers = {Harmati, Mária/0000-0002-4875-5723; Bukva, Mátyás/0000-0002-5225-0285; Dobra, Gabriella/0000-0002-2814-7720; Gyukity-Sebestyén, Edina/0000-0003-1383-6301; Böröczky, Timea/0009-0009-3390-7809; Szabó, Zoltán/0000-0001-8278-8038; Kónya, Zoltán/0000-0002-9406-8596; Buzás, Krisztina/0000-0001-8933-2033}
}

@article{MTMT:34165967,
	title = {Exploring Teachers’ Attitudes toward the Management of Type 1 Diabetes: A Qualitative Study},
	url = {https://m2.mtmt.hu/api/publication/34165967},
	author = {Horváth, Mária Dóra and Papp-Zipernovszky, Orsolya and Tesch, Zsanett and Buzás, Norbert},
	doi = {10.1155/2023/6607310},
	journal-iso = {PEDIATR DIABETES},
	journal = {PEDIATRIC DIABETES},
	volume = {2023},
	unique-id = {34165967},
	issn = {1399-543X},
	abstract = {This study aimed to explore the attitudes of teachers toward type 1 diabetes (T1D) and its management. Teachers working in kindergartens and schools (N = 30) participated in audio-recorded, semi-structured interviews (three focus groups and 20 individual interviews) that were transcribed and analyzed using thematic analysis. We used the theory of the three components of attitude as a framework for the analysis. The three components of attitude emerged during the analysis: knowledge, positive and negative emotions, approaches, and opinions toward diabetes and its management and behavior. The main theme of knowledge included knowledge about diabetes in general and its management. Besides medical treatment, alternative treatment possibilities were mentioned by the participants. The affective component revealed empathy, integrating, and segregating approaches toward children living with diabetes. The behavior component revealed how teachers contribute to the care and integration of children with diabetes in schools. They support children with diabetes by the virtue of their profession. For example, they teach them health awareness and support their integration through peer education and sensitization. The findings indicated that, in addition to diabetes management tasks, teachers could help children with T1D by tutoring them and their peers about health awareness and T1D acceptance.},
	year = {2023},
	eissn = {1399-5448},
	orcid-numbers = {Horváth, Mária Dóra/0000-0002-3145-8490; Papp-Zipernovszky, Orsolya/0000-0003-3288-6005; Tesch, Zsanett/0009-0004-4048-4801; Buzás, Norbert/0000-0002-4496-8828}
}