TY - JOUR AU - Kálovics, Máté AU - Szolgay, Péter AU - Iván, Kristóf AU - Szabó, Zsolt TI - Microwave Resonance Based Lab-on-a-Chip Local Pressure Sensing JF - IEEE SENSORS JOURNAL J2 - IEEE SENS J VL - XX. PY - 2024 SP - 1 EP - 1 PG - 1 SN - 1530-437X DO - 10.1109/JSEN.2024.3368366 UR - https://m2.mtmt.hu/api/publication/34764449 ID - 34764449 LA - English DB - MTMT ER - TY - JOUR AU - Kálovics, Máté AU - Iván, Kristóf AU - Szabó, Zsolt TI - Microfluidic Mixing Device With Integrated Dual-Band Microwave Sensor JF - IEEE SENSORS JOURNAL J2 - IEEE SENS J VL - 23 PY - 2023 IS - 14 SP - 15350 EP - 15360 PG - 11 SN - 1530-437X DO - 10.1109/JSEN.2023.3280240 UR - https://m2.mtmt.hu/api/publication/34489514 ID - 34489514 LA - English DB - MTMT ER - TY - JOUR AU - Köllőd, Csaba Márton AU - Adolf, András AU - Iván, Kristóf AU - Márton, Gergely AU - Ulbert, István TI - Deep Comparisons of Neural Networks from the EEGNet Family JF - ELECTRONICS (SWITZ) VL - 12 PY - 2023 IS - 12 SN - 2079-9292 DO - 10.3390/electronics12122743 UR - https://m2.mtmt.hu/api/publication/34028020 ID - 34028020 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Ponmozhi, J. AU - Dhinakaran, S. AU - Kocsis, Dorottya AU - Iván, Kristóf AU - Erdő, Franciska TI - Models for barrier understanding in health and disease in lab-on-a-chips JF - TISSUE BARRIERS J2 - TISS BARR VL - 11 PY - 2023 SN - 2168-8362 DO - 10.1080/21688370.2023.2221632 UR - https://m2.mtmt.hu/api/publication/34008807 ID - 34008807 LA - English DB - MTMT ER - TY - JOUR AU - Reguly, István Zoltán AU - Csercsik, Dávid AU - Juhász, János AU - Tornai, Kálmán AU - Bujtár, Zsófia AU - Horváth, Gergely AU - Keömley-Horváth, Bence AU - Kós, Tamás AU - Cserey, György Gábor AU - Iván, Kristóf AU - Pongor, Sándor AU - Szederkényi, Gábor AU - Röst, Gergely AU - Csikász-Nagy, Attila TI - Microsimulation based quantitative analysis of COVID-19 management strategies JF - PLOS COMPUTATIONAL BIOLOGY J2 - PLOS COMPUT BIOL VL - 18 PY - 2022 IS - 1 PG - 14 SN - 1553-734X DO - 10.1371/journal.pcbi.1009693 UR - https://m2.mtmt.hu/api/publication/32574366 ID - 32574366 N1 - Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary Cytocast Kft., Vecses, Hungary Institute of Medical Microbiology, Faculty of Medicine, Semmelweis University, Budapest, Hungary Bolyai Institute, University of Szeged, Szeged, Hungary Randall Centre for Cell and Molecular Biophysics, King’s College London, London, United Kingdom Cited By :1 Export Date: 16 June 2022 Correspondence Address: Reguly, I.Z.; Faculty of Information Technology and Bionics, Hungary; email: reguly.istvan.zoltan@itk.ppke.hu Correspondence Address: Csikász-Nagy, A.; Faculty of Information Technology and Bionics, Hungary; email: csikasz-nagy.attila@itk.ppke.hu LA - English DB - MTMT ER - TY - CHAP AU - Szabó, Zsolt AU - Incze, D. AU - L. Márton, A. AU - Iván, Kristóf TI - Complementary Split Ring Resonator Based Fluidic Microwave Sensor T2 - 2021 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) SN - 9781946815101 PY - 2021 SP - 88 EP - 89 PG - 2 DO - 10.23919/USNC-URSI51813.2021.9703497 UR - https://m2.mtmt.hu/api/publication/32745879 ID - 32745879 LA - English DB - MTMT ER - TY - JOUR AU - Ponmozhi, J. AU - Dhinakaran, S. AU - Varga-Medveczky, Zsófia AU - Fónagy, K. AU - Bors, Luca Anna AU - Iván, Kristóf AU - Erdő, Franciska TI - Development of skin‐on‐a‐chip platforms for different utilizations: Factors to be considered JF - MICROMACHINES J2 - MICROMACHINES-BASEL VL - 12 PY - 2021 IS - 3 PG - 25 SN - 2072-666X DO - 10.3390/mi12030294 UR - https://m2.mtmt.hu/api/publication/31936794 ID - 31936794 N1 - Microfluidics Laboratory, Department of Mechanical Engineering, IPS Academy‐Institute of Engineering Science, Indore, 452012, India The Centre for Fluid Dynamics, Department of Mechanical Engineering, Indian Institute of Technology Indore, Indore, 453552, India Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter u. 50a, Budapest, 1083, Hungary Heart and Vascular Centre, Faculty of Medicine, Semmelweis University, Budapest, 1122, Hungary Export Date: 4 June 2021 Correspondence Address: Erdő, F.; Faculty of Information Technology and Bionics, Práter u. 50a, Hungary; email: erdo.franciska@itk.ppke.hu AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Bajza, Ágnes AU - Kocsis, Dorottya AU - Berezvai, Orsolya AU - Laki, András József AU - Lukács, Bence AU - Imre, Timea AU - Iván, Kristóf AU - Szabó, Pál Tamás AU - Erdő, Franciska TI - Verification of P-Glycoprotein Function at the Dermal Barrier in Diffusion Cells and Dynamic “Skin-On-A-Chip” Microfluidic Device JF - PHARMACEUTICS J2 - PHARMACEUTICS VL - 12 PY - 2020 IS - 9 SN - 1999-4923 DO - 10.3390/pharmaceutics12090804 UR - https://m2.mtmt.hu/api/publication/31475761 ID - 31475761 N1 - Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Práter u. 50a, Budapest, H-1083, Hungary Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., Budapest, H-1111, Hungary Department of Biophysics and Radiation Biology, Semmelweis University, Tűzoltó u. 37-47, Budapest, H-1094, Hungary MedRes Medical Research Engineering Ltd, Albert Flórián út 3/b, Budapest, H-1097, Hungary Research Centre for Natural Sciences, Instrumentation Centre, Magyar tudósok körútja 2, Budapest, H-1117, Hungary Cited By :21 Export Date: 28 February 2024 Correspondence Address: Erdő, F.; Faculty of Information Technology and Bionics, Práter u. 50a, Hungary; email: erdo.franciska@itk.ppke.hu LA - English DB - MTMT ER - TY - JOUR AU - Lukács, Bence AU - Bajza, Ágnes AU - Kocsis, Dorottya AU - Csorba, Attila AU - Antal, István AU - Iván, Kristóf AU - Laki, András József AU - Erdő, Franciska TI - Skin-on-a-Chip Device for Ex Vivo Monitoring of Transdermal Delivery of Drugs-Design, Fabrication, and Testing JF - PHARMACEUTICS J2 - PHARMACEUTICS VL - 11 PY - 2019 IS - 9 SN - 1999-4923 DO - 10.3390/pharmaceutics11090445 UR - https://m2.mtmt.hu/api/publication/30791849 ID - 30791849 LA - English DB - MTMT ER - TY - JOUR AU - Szelig, A. G. AU - Iván, Kristóf AU - Kosa, B. AU - Kurdi, C. AU - Kőszegi, Tamás AU - Laki, A. J. TI - Microfluidic capillary-array filter for enrichment of circulating tumor cells JF - BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY J2 - BASIC CLIN PHARMACOL VL - 124 PY - 2018 SP - 13 EP - 13 PG - 1 SN - 1742-7835 UR - https://m2.mtmt.hu/api/publication/30746510 ID - 30746510 LA - English DB - MTMT ER -