@article{MTMT:34764449,
	title = {Microwave Resonance Based Lab-on-a-Chip Local Pressure Sensing},
	url = {https://m2.mtmt.hu/api/publication/34764449},
	author = {Kálovics, Máté and Szolgay, Péter and Iván, Kristóf and Szabó, Zsolt},
	doi = {10.1109/JSEN.2024.3368366},
	journal-iso = {IEEE SENS J},
	journal = {IEEE SENSORS JOURNAL},
	volume = {XX.},
	unique-id = {34764449},
	issn = {1530-437X},
	year = {2024},
	eissn = {1558-1748},
	pages = {1-1},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:34489514,
	title = {Microfluidic Mixing Device With Integrated Dual-Band Microwave Sensor},
	url = {https://m2.mtmt.hu/api/publication/34489514},
	author = {Kálovics, Máté and Iván, Kristóf and Szabó, Zsolt},
	doi = {10.1109/JSEN.2023.3280240},
	journal-iso = {IEEE SENS J},
	journal = {IEEE SENSORS JOURNAL},
	volume = {23},
	unique-id = {34489514},
	issn = {1530-437X},
	year = {2023},
	eissn = {1558-1748},
	pages = {15350-15360},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:34028020,
	title = {Deep Comparisons of Neural Networks from the EEGNet Family},
	url = {https://m2.mtmt.hu/api/publication/34028020},
	author = {Köllőd, Csaba Márton and Adolf, András and Iván, Kristóf and Márton, Gergely and Ulbert, István},
	doi = {10.3390/electronics12122743},
	journal = {ELECTRONICS (SWITZ)},
	volume = {12},
	unique-id = {34028020},
	abstract = {A preponderance of brain–computer interface (BCI) publications proposing artificial neural networks for motor imagery (MI) electroencephalography (EEG) signal classification utilize one of the BCI Competition datasets. However, these databases encompass MI EEG data from a limited number of subjects, typically less than or equal to 10. Furthermore, the algorithms usually include only bandpass filtering as a means of reducing noise and increasing signal quality. In this study, we conducted a comparative analysis of five renowned neural networks (Shallow ConvNet, Deep ConvNet, EEGNet, EEGNet Fusion, and MI-EEGNet) utilizing open-access databases with a larger subject pool in conjunction with the BCI Competition IV 2a dataset to obtain statistically significant results. We employed the FASTER algorithm to eliminate artifacts from the EEG as a signal processing step and explored the potential for transfer learning to enhance classification results on artifact-filtered data. Our objective was to rank the neural networks; hence, in addition to classification accuracy, we introduced two supplementary metrics: accuracy improvement from chance level and the effect of transfer learning. The former is applicable to databases with varying numbers of classes, while the latter can underscore neural networks with robust generalization capabilities. Our metrics indicated that researchers should not disregard Shallow ConvNet and Deep ConvNet as they can outperform later published members of the EEGNet family.},
	year = {2023},
	eissn = {2079-9292},
	orcid-numbers = {Köllőd, Csaba Márton/0000-0003-3817-6709; Iván, Kristóf/0000-0003-3637-3979; Ulbert, István/0000-0001-9941-9159}
}

@article{MTMT:34008807,
	title = {Models for barrier understanding in health and disease in lab-on-a-chips},
	url = {https://m2.mtmt.hu/api/publication/34008807},
	author = {Ponmozhi, J. and Dhinakaran, S. and Kocsis, Dorottya and Iván, Kristóf and Erdő, Franciska},
	doi = {10.1080/21688370.2023.2221632},
	journal-iso = {TISS BARR},
	journal = {TISSUE BARRIERS},
	volume = {11},
	unique-id = {34008807},
	issn = {2168-8362},
	year = {2023},
	eissn = {2168-8370},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:32574366,
	title = {Microsimulation based quantitative analysis of COVID-19 management strategies},
	url = {https://m2.mtmt.hu/api/publication/32574366},
	author = {Reguly, István Zoltán and Csercsik, Dávid and Juhász, János and Tornai, Kálmán and Bujtár, Zsófia and Horváth, Gergely and Keömley-Horváth, Bence and Kós, Tamás and Cserey, György Gábor and Iván, Kristóf and Pongor, Sándor and Szederkényi, Gábor and Röst, Gergely and Csikász-Nagy, Attila},
	doi = {10.1371/journal.pcbi.1009693},
	journal-iso = {PLOS COMPUT BIOL},
	journal = {PLOS COMPUTATIONAL BIOLOGY},
	volume = {18},
	unique-id = {32574366},
	issn = {1553-734X},
	year = {2022},
	eissn = {1553-7358},
	orcid-numbers = {Reguly, István Zoltán/0000-0002-4385-4204; Tornai, Kálmán/0000-0003-1852-0816; Kós, Tamás/0000-0001-5105-4699; Iván, Kristóf/0000-0003-3637-3979; Szederkényi, Gábor/0000-0003-4199-6089; Röst, Gergely/0000-0001-9476-3284; Csikász-Nagy, Attila/0000-0002-2919-5601}
}

@inproceedings{MTMT:32745879,
	title = {Complementary Split Ring Resonator Based Fluidic Microwave Sensor},
	url = {https://m2.mtmt.hu/api/publication/32745879},
	author = {Szabó, Zsolt and Incze, D. and L. Márton, A. and Iván, Kristóf},
	booktitle = {2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)},
	doi = {10.23919/USNC-URSI51813.2021.9703497},
	unique-id = {32745879},
	year = {2021},
	pages = {88-89},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:31936794,
	title = {Development of skin‐on‐a‐chip platforms for different utilizations: Factors to be considered},
	url = {https://m2.mtmt.hu/api/publication/31936794},
	author = {Ponmozhi, J. and Dhinakaran, S. and Varga-Medveczky, Zsófia and Fónagy, K. and Bors, Luca Anna and Iván, Kristóf and Erdő, Franciska},
	doi = {10.3390/mi12030294},
	journal-iso = {MICROMACHINES-BASEL},
	journal = {MICROMACHINES},
	volume = {12},
	unique-id = {31936794},
	abstract = {There is increasing interest in miniaturized technologies in diagnostics, therapeutic testing, and biomedicinal fundamental research. The same is true for the dermal studies in topical drug development, dermatological disease pathology testing, and cosmetic science. This review aims to collect the recent scientific literature and knowledge about the application of skin‐on‐a‐chip technology in drug diffusion studies, in pharmacological and toxicological experiments, in wound healing, and in fields of cosmetic science (ageing or repair). The basic mathematical models are also presented in the article to predict physical phenomena, such as fluid movement, drug diffusion, and heat transfer taking place across the dermal layers in the chip using Computational Fluid Dynamics techniques. Soon, it can be envisioned that animal studies might be at least in part replaced with skin‐on‐a‐chip technology leading to more reliable results close to study on humans. The new technology is a cost‐effective alternative to traditional methods used in research institutes, university labs, and industry. With this article, the authors would like to call attention to a new investiga-tional family of platforms to refresh the researchers’ theranostics and preclinical, experimental toolbox. © MDPI AG. All rights reserved.},
	keywords = {SKIN; MEMBRANES; Tissue regeneration; diagnosis; SCIENTIFIC LITERATURE; Microprocessor chips; Shear stress; Diffusion in liquids; mathematical modelling; Cosmetics; Heat Transfer; Heat Transfer; Computational fluid dynamics; physical phenomena; CFD; Theranostics; research institutes; Fundamental research; dermatological disease; Dermal barrier; Drug diffusion through the skin; Reconstructed skins; Skin‐on‐a‐chip device; Computational fluid dynamics technique; Cosmetic science; Reliable results},
	year = {2021},
	eissn = {2072-666X},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:31475761,
	title = {Verification of P-Glycoprotein Function at the Dermal Barrier in Diffusion Cells and Dynamic “Skin-On-A-Chip” Microfluidic Device},
	url = {https://m2.mtmt.hu/api/publication/31475761},
	author = {Bajza, Ágnes and Kocsis, Dorottya and Berezvai, Orsolya and Laki, András József and Lukács, Bence and Imre, Timea and Iván, Kristóf and Szabó, Pál Tamás and Erdő, Franciska},
	doi = {10.3390/pharmaceutics12090804},
	journal-iso = {PHARMACEUTICS},
	journal = {PHARMACEUTICS},
	volume = {12},
	unique-id = {31475761},
	issn = {1999-4923},
	year = {2020},
	eissn = {1999-4923},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979; Szabó, Pál Tamás/0000-0003-2260-4641}
}

@article{MTMT:30791849,
	title = {Skin-on-a-Chip Device for Ex Vivo Monitoring of Transdermal Delivery of Drugs-Design, Fabrication, and Testing},
	url = {https://m2.mtmt.hu/api/publication/30791849},
	author = {Lukács, Bence and Bajza, Ágnes and Kocsis, Dorottya and Csorba, Attila and Antal, István and Iván, Kristóf and Laki, András József and Erdő, Franciska},
	doi = {10.3390/pharmaceutics11090445},
	journal-iso = {PHARMACEUTICS},
	journal = {PHARMACEUTICS},
	volume = {11},
	unique-id = {30791849},
	issn = {1999-4923},
	year = {2019},
	eissn = {1999-4923},
	orcid-numbers = {Csorba, Attila/0000-0002-4032-1605; Antal, István/0000-0002-5434-201X; Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:30746510,
	title = {Microfluidic capillary-array filter for enrichment of circulating tumor cells},
	url = {https://m2.mtmt.hu/api/publication/30746510},
	author = {Szelig, A. G. and Iván, Kristóf and Kosa, B. and Kurdi, C. and Kőszegi, Tamás and Laki, A. J.},
	journal-iso = {BASIC CLIN PHARMACOL},
	journal = {BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY},
	volume = {124},
	unique-id = {30746510},
	issn = {1742-7835},
	keywords = {Pharmacology & Pharmacy},
	year = {2018},
	eissn = {1742-7843},
	pages = {13-13},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}