Eredményeink

2020 – D1

Kristály, A., Mezei, I. I., & Szilák, K. (2020). Differential inclusions involving oscillatory terms. Nonlinear Analysis, 197, 111834. https://doi.org/10.1016/j.na.2020.111834

2021 – D1

Farkas, C., Kristály, A., & Mester, Á. (2021). Compact Sobolev embeddings on non-compact manifolds via orbit expansions of isometry groups. Calculus of Variations and Partial Differential Equations, 60(4), 128. https://doi.org/10.1007/s00526-021-01997-5

2021 – Q1

Lajkó, G., Nagyné Elek, R., & Haidegger, T. (2021). Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery. Sensors, 21(16), 5412. https://doi.org/10.3390/s21165412

Molnar, A., Domozi, Z., & Lovas, I. (2021). Drone-Based Gamma Radiation Dose Distribution Survey with a Discrete Measurement Point Procedure. Sensors, 21(14), 4930. https://doi.org/10.3390/s21144930

Nagyné Elek, R., & Haidegger, T. (2021). Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery. Sensors, 21(8), 2666. https://doi.org/10.3390/s21082666

Pintér, G., & Felde, I. (2021). Evaluating the Effect of the Financial Status to the Mobility Customs. ISPRS International Journal of Geo-Information, 10(5), 328. https://doi.org/10.3390/ijgi10050328

2022 – D1

Motahari-Nezhad, H., Al-Abdulkarim, H., Fgaier, M., Abid, M. M., Péntek, M., Gulácsi, L., & Zrubka, Z. (2022). Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews. Journal of Medical Internet Research, 24(12), e41042. https://doi.org/10.2196/41042

Zrubka, Z., Péntek, M., Mhanna, L., Abu-Zahra, T., Mahdi-Abid, M., Fgaier, M., El-Dahiyat, F., Al-Abdulkarim, H., Drummond, M., & Gulácsi, L. (2022). Disease-Related Costs Published in The Middle East and North Africa Region: Systematic Review and Analysis of Transferability. PharmacoEconomics, 40(6), 587–599. https://doi.org/10.1007/s40273-022-01146-6

2022 – Q1

Becker, G. S., & Lovas, R. (2022). Uniformity Correction of CMOS Image Sensor Modules for Machine Vision Cameras. Sensors, 22(24), 9733. https://doi.org/10.3390/s22249733

Dénes-Fazakas, L., Siket, M., Szilágyi, L., Kovács, L., & Eigner, G. (2022). Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Sensors, 22(21), 8568. https://doi.org/10.3390/s22218568

Motahari-Nezhad, H., Fgaier, M., Mahdi Abid, M., Péntek, M., Gulácsi, L., & Zrubka, Z. (2022). Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews. JMIR mHealth and uHealth, 10(10), e35722. https://doi.org/10.2196/35722

Nagy, T. D., & Haidegger, T. (2022). Performance and Capability Assessment in Surgical Subtask Automation. Sensors, 22(7), 2501. https://doi.org/10.3390/s22072501

Németh, O., Simon, F., Benhamida, A., Kivovics, M., & Gaál, P. (2022). eHealth, teledentistry and health workforce challenges: Results of a pilot project. BMC Oral Health, 22(1), 552. https://doi.org/10.1186/s12903-022-02603-6

Rezaei, M. A., Fathollahi, A., Rezaei, S., Hu, J., Gheisarnejad, M., Teimouri, A. R., Rituraj, R., Mosavi, A. H., & Khooban, M.-H. (2022). Adaptation of a Real-Time Deep Learning Approach With an Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271–132287. https://doi.org/10.1109/ACCESS.2022.3228916

2023 – D1

Csiszár, O., Pusztaházi, L. S., Dénes-Fazakas, L., Gashler, M. S., Kreinovich, V., & Csiszár, G. (2023). Uninorm-like parametric activation functions for human-understandable neural models. Knowledge-Based Systems, 260, 110095. https://doi.org/10.1016/j.knosys.2022.110095

Gladysz, B., Tran, T., Romero, D., Van Erp, T., Abonyi, J., & Ruppert, T. (2023). Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0. Journal of Manufacturing Systems, 70, 160–185. https://doi.org/10.1016/j.jmsy.2023.07.008

Maher, T. M., Tudor, V. A., Saunders, P., Gibbons, M. A., Fletcher, S. V., Denton, C. P., Hoyles, R. K., Parfrey, H., Renzoni, E. A., Kokosi, M., Wells, A. U., Ashby, D., Szigeti, M., Molyneaux, P. L., Akil, M., Babalis, D., Chaudhuri, N., Chua, F., Data, A., … Zanghelini, F. (2023). Rituximab versus intravenous cyclophosphamide in patients with connective tissue disease-associated interstitial lung disease in the UK (RECITAL): A double-blind, double-dummy, randomised, controlled, phase 2b trial. The Lancet Respiratory Medicine, 11(1), 45–54. https://doi.org/10.1016/S2213-2600(22)00359-9

Tran, T., Ruppert, T., Eigner, G., & Abonyi, J. (2023). Assessing human worker performance by pattern mining of Kinect sensor skeleton data. Journal of Manufacturing Systems, 70, 538–556. https://doi.org/10.1016/j.jmsy.2023.08.010

Tran, T.-A., Péntek, M., Motahari-Nezhad, H., Abonyi, J., Kovács, L., Gulácsi, L., Eigner, G., Zrubka, Z., & Ruppert, T. (2023). Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment—A Systematic Scoping Review. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(11), 6685–6692. https://doi.org/10.1109/TSMC.2023.3282141

2023 – Q1

Al-Jedai, A. H., Lomas, J., Almudaiheem, H. Y., Al-Ruthia, Y. S. H., Alghamdi, S., Awad, N., Alghamdi, A., Alowairdhi, M. A., Alabdulkarim, H., Almadi, M., Bunyan, R. F., & Ochalek, J. (2023). Informing a cost-effectiveness threshold for Saudi Arabia. Journal of Medical Economics, 26(1), 128–138. https://doi.org/10.1080/13696998.2022.2157141

Alluhidan, M., Alabdulkarim, H., Alrumaih, A., Al-Turaiki, A., Alshahrani, A., Al-Qahtani, S., Alhossan, A., & Al-Jedai, A. (2023). Budget impact of introducing oral semaglutide to the public healthcare benefit package in Saudi Arabia. Journal of Medical Economics, 26(1), 1455–1468. https://doi.org/10.1080/13696998.2023.2277056

Assefa, G., & Baricz, Á. (2023a). Exponential bounds for the logarithmic derivative of Whittaker functions. Proceedings of the American Mathematical Society, 151(11), 4867–4880. https://doi.org/10.1090/proc/16549

Assefa, G., & Baricz, Á. (2023b). Infinite divisibility of the Whittaker distribution. Proceedings of the American Mathematical Society. https://doi.org/10.1090/proc/16562

Azodinia, M., Mudabbir, M., & Karimipour, A. (2023). Numerical investigation of two-phase Al2O3 nanofluid in a microchannel equipped with bump through slip flow. Engineering Analysis with Boundary Elements, 155, 1028–1034. https://doi.org/10.1016/j.enganabound.2023.07.019

Hermányi, Z., Csiki, V., Menyhárt, A., Osgyán, K., Körei, A., Istenes, I., Putz, Z., Benhamida, A., Berey, A., Hetthéssy, J., Varbiro, S., Kozlovszky, M., & Kempler, P. (2023). How to evaluate over 60 million blood glucose data—The design of the MÉRY Diabetes Database. Journal of Diabetes and Its Complications, 37(10), 108586. https://doi.org/10.1016/j.jdiacomp.2023.108586

Hölgyesi, Á., Tóth, B., Kozlovszky, M., Kuti, J., Weszl, M., Balázs, G., Baji, P., Kovács, L., Gulácsi, L., Zrubka, Z., & Péntek, M. (2023). Epidemiology and patients’ self-reported knowledge of implantable medical devices: Results of a cross-sectional survey in Hungary. PLOS ONE, 18(4), e0284577. https://doi.org/10.1371/journal.pone.0284577

Kristály, A., Mester, Á., & Mezei, I. I. (2023). Sharp Morrey–Sobolev inequalities and eigenvalue problems on Riemannian–Finsler manifolds with nonnegative Ricci curvature. Communications in Contemporary Mathematics, 25(10), 2250063. https://doi.org/10.1142/S0219199722500638

Kristály, A., Mezei, I. I., & Szilák, K. (2023). Elliptic differential inclusions on non-compact Riemannian manifolds. Nonlinear Analysis: Real World Applications, 69, 103740. https://doi.org/10.1016/j.nonrwa.2022.103740

Mirshafiee, F., Shahbazi, E., Safi, M., & Rituraj, R. (2023). Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study. Energies, 16(1), 502. https://doi.org/10.3390/en16010502

Molnár, A., Kiss, D., & Domozi, Z. (2023). Radiation Source Localization Using a Model-Based Approach. Sensors, 23(13), 5983. https://doi.org/10.3390/s23135983

Nyers, A., & Nyers, J. (2023). Enhancing the Energy Efficiency—COP of the Heat Pump Heating System by Energy Optimization and a Case Study. Energies, 16(7), 2981. https://doi.org/10.3390/en16072981

Sarcevic, P., Csik, D., & Odry, A. (2023). Indoor 2D Positioning Method for Mobile Robots Based on the Fusion of RSSI and Magnetometer Fingerprints. Sensors, 23(4), 1855. https://doi.org/10.3390/s23041855

Széles, L., Horváth, R., & Rádics, J. P. (2023). Design and Study of Fractal-Inspired Metamaterials with Equal Density Made from a Strong and Tough Thermoplastic. Polymers, 15(12), 2650. https://doi.org/10.3390/polym15122650

2024 – D1

Dénes-Fazakas, L., Simon, B., Hartvég, Á., Szilágyi, L., Kovács, L., Mosavi, A., & Eigner, G. (2024). Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Computers in Biology and Medicine, 182, 109167. https://doi.org/10.1016/j.compbiomed.2024.109167

Guba, Z., Finta, I., Budai, Á., Farkas, L., Zimborás, Z., & Pályi, A. (2024). Resource analysis for quantum-aided Byzantine agreement with the four-qubit singlet state. Quantum, 8, 1324. https://doi.org/10.22331/q-2024-04-30-1324

Tóth, B., Berek, L., Gulácsi, L., Péntek, M., & Zrubka, Z. (2024). Automation of systematic reviews of biomedical literature: A scoping review of studies indexed in PubMed. Systematic Reviews, 13(1), 174. https://doi.org/10.1186/s13643-024-02592-3

Tóth, B., Motahari-Nezhad, H., Horseman, N., Berek, L., Kovács, L., Hölgyesi, Á., Péntek, M., Mirjalili, S., Gulácsi, L., & Zrubka, Z. (2024). Ranking resilience: Assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities. Scientometrics, 129(3), 1739–1770. https://doi.org/10.1007/s11192-023-04920-1

2024 – Q1

Al-Abdulkarim, H., Sharma, Y., Attar, S. M., Husain, W., Al-Homood, I., Al Omari, B., Mohamed, O., Alsaqa’aby, M., Jaheen, A. M., Anwar, A., Hamad, T. M., & Alzahrani, Z. (2024). Cost-effectiveness analysis of upadacitinib as a treatment option for patients with rheumatoid arthritis in the Kingdom of Saudi Arabia. Journal of Medical Economics, 27(1), 134–144. https://doi.org/10.1080/13696998.2023.2299176

Alharbi, A., Yousef, A., Zubani, A., Alzahrani, M., Al-Hindi, M., Alharbi, S., Alahmadi, T., Alabdulkarim, H., Kazmierska, P., & Beuvelet, M. (2024). Respiratory Syncytial Virus (RSV) Burden in Infants in the Kingdom of Saudi Arabia and the Impact of All-Infant RSV Protection: A Modeling Study. Advances in Therapy, 41(4), 1419–1435. https://doi.org/10.1007/s12325-024-02798-w

Alluhidan, M., Alturaiki, A., Alabdulkarim, H., Aljehani, N., Alghamdi, E. A., Alsabaan, F., Alamri, A. A., Malkin, S. J. P., Hunt, B., Alhossan, A., & Al-Jedai, A. (2024). Modeling the Clinical and Economic Burden of Therapeutic Inertia in People with Type 2 Diabetes in Saudi Arabia. Advances in Therapy, 41(11), 4140–4152. https://doi.org/10.1007/s12325-024-02978-8

Dénes-Fazakas, L., Simon, B., Hartvég, Á., Kovács, L., Dulf, É.-H., Szilágyi, L., & Eigner, G. (2024). Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. Sensors, 24(8), 2412. https://doi.org/10.3390/s24082412

Dénes-Fazakas, L., Szilágyi, L., Kovács, L., De Gaetano, A., & Eigner, G. (2024). Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes. Biomedicines, 12(9), 2143. https://doi.org/10.3390/biomedicines12092143

Elezbawy, B., Farghaly, M., Al Lafi, A., Gamal, M., Metni, M., Visser, W., Al-Abdulkarim, H., Hedibel, M., Fasseeh, A. N., Abaza, S., & Kaló, Z. (2024). Strategic Approaches to Reducing the Burden of Atopic Dermatitis in the Middle East and Africa Region. Value in Health Regional Issues, 42, 100987. https://doi.org/10.1016/j.vhri.2024.100987

Gyula Nemes, Á., & Eigner, G. (2024). Subject Conditioning for Motor Imagery Using Attention Mechanism. IEEE Access, 12, 170243–170249. https://doi.org/10.1109/ACCESS.2024.3479308

Nemes, Á. G., Eigner, G., & Shi, P. (2024). Application of Deep Learning to Enhance Finger Movement Classification Accuracy From UHD-EEG Signals. IEEE Access, 12, 139937–139945. https://doi.org/10.1109/ACCESS.2024.3407690

Oláh, F., Horváth, R., & Réger, M. (2024). Investigation of the hydrostatic and plastic zones in hardness measurement using finite element simulation. Heliyon, 10(18), e37461. https://doi.org/10.1016/j.heliyon.2024.e37461

Rezaei, M. A., Fathollahi, A., Akbari, E., Saki, M., Khorgami, E., Teimouri, A. R., Chronopoulos, A. T., & Mosavi, A. (2024). Reliability Calculation Improvement of Electrolytic Capacitor Banks Used in Energy Storage Applications Based on Internal Capacitor Faults and Degradation. IEEE Access, 12, 13146–13164. https://doi.org/10.1109/ACCESS.2024.3351604

Rostam, Z. R. K., Szénási, S., & Kertész, G. (2024). Achieving Peak Performance for Large Language Models: A Systematic Review. IEEE Access, 12, 96017–96050. https://doi.org/10.1109/ACCESS.2024.3424945

Sára Pusztaházi, L., Eigner, G., & Csiszár, O. (2024). Parametric Activation Functions for Neural Networks: A Tutorial Survey. IEEE Access, 12, 168626–168644. https://doi.org/10.1109/ACCESS.2024.3474574

Sebestyen, G., & Kopjak, J. (2024). Stability Analysis through a Stability Factor Metric for IQRF Mesh Sensor Networks Utilizing Merged Data Collection. Sensors, 24(15), 4977. https://doi.org/10.3390/s24154977

Széles, L., Horváth, R., & Cveticanin, L. (2024). Analysis of Mechanical Properties and Parameter Dependency of Novel, Doubly Re-Entrant Auxetic Honeycomb Structures. Polymers, 16(17), 2524. https://doi.org/10.3390/polym16172524

Széles, L., Horváth, R., & Réger, M. (2024). Parameter-Independent Deformation Behaviour of Diagonally Reinforced Doubly Re-Entrant Honeycomb. Polymers, 16(21), 3082. https://doi.org/10.3390/polym16213082

Tolner, F., Barta, B., & Eigner, G. (2024). Reaction to Idiosyncratic Economic Shocks—Economic Resilience of Small- and Medium-Sized Enterprises. Sustainability, 16(13), 5470. https://doi.org/10.3390/su16135470

Tyagi, S., & Szénási, S. (2024). Semantic speech analysis using machine learning and deep learning techniques: A comprehensive review. Multimedia Tools and Applications, 83(29), 73427–73456. https://doi.org/10.1007/s11042-023-17769-6

2025 – D1

Cooper, A. I., Courtney, P., Darvish, K., Eckhoff, M., Fakhruldeen, H., Gabrielli, A., Garg, A., Haddadin, S., Harada, K., Hein, J., Hübner, M., Knobbe, D., Pizzuto, G., Shkurti, F., Shrestha, R., Thurow, K., Vescovi, R., Vogel-Heuser, B., Wolf, Á., … Zwirnmann, H. (2025). Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges. Science Robotics, 10(106), eadv7932. https://doi.org/10.1126/scirobotics.adv7932

Fasseeh, A. N., Korra, N., Aljedai, A., Seyam, A., Almudaiheem, H., Al-Abdulkarim, H. A., Janahi, M., Gamal, M., Fahmy, S., Aldallal, S., Abaza, S., & Kaló, Z. (2025). Rare disease challenges and potential actions in the Middle East. International Journal for Equity in Health, 24(1), 56. https://doi.org/10.1186/s12939-025-02388-4

Stefanoni, M., Odry, Á., & Sarcevic, P. (2025). Dipole Model-Based Disturbance Compensation Using Magnetometer Arrays. IEEE Transactions on Instrumentation and Measurement, 74, 1–10. https://doi.org/10.1109/TIM.2025.3556461

Szakállas, N., Kalmár, A., Rada, K. R., Kucarov, M., Linkner, T. R., Barták, B. K., Takács, I., & Molnár, B. (2025). Methodological Comparison of Short-Read and Long-Read Sequencing Methods on Colorectal Cancer Samples. International Journal of Molecular Sciences, 26(18), 9254. https://doi.org/10.3390/ijms26189254

2025 – Q1

Assefa, G., & Baricz, Á. (2025). Irrational bounds for quotients of Whittaker functions of the first and second kind. Proceedings of the American Mathematical Society, 153(8), 3451–3466. https://doi.org/10.1090/proc/17263

Azodinia, M., Iskakov, K., Indira, O., Ardabili, S., Karballaeezadeh, N., & Mosavi, A. (2025). Deep Learning for Structural Health Monitoring of Pavements for Improving Road Maintenance and Management. Decision Making: Applications in Management and Engineering, 8(2), 863–880. Scopus. https://doi.org/10.31081/dmame8220251629

Borosta, R., Szepesi-Nagy, I., Kató, I., & Róna, G. (2025). Protocol for identifying DNA damage responders through proximity biotinylation of proliferating cell nuclear antigen interactors. STAR Protocols, 6(4), 104136. https://doi.org/10.1016/j.xpro.2025.104136

Czakó, P., Kertész, G., & Szénási, S. (2025). Addressing Activation Outliers in LLMs: A Systematic Review of Post-Training Quantization Techniques. IEEE Access, 13, 81917–81932. https://doi.org/10.1109/ACCESS.2025.3568702

Dénes-Fazakas, L., Kovács, L., Eigner, G., & Szilágyi, L. (2025). Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach. Sensors, 25(5), 1531. https://doi.org/10.3390/s25051531

Khan, M. A., Abu Esba, L. C., Yousef, C. C., Alharbi, M., Modaimegh, H., Metwali, H., Abdulkarim, H., Alshamrani, M., Aseeri, M., Almansour, M., Alsaeed, A., Alahmari, M., Ansari, A. N., Alfoheidi, M., Absi, A., Alfayea, T., Youssif, E., Alhejazi, A., & Alodhaib, M. (2025). Practical challenges and considerations in adopting biosimilars in oncology clinical practice within a large healthcare system. Expert Review of Clinical Pharmacology, 18(6), 323–331. https://doi.org/10.1080/17512433.2025.2492063

Kucarov, M. D., Szakállas, N., Molnár, B., & Kozlovszky, M. (2025). Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology. Sensors, 25(14), 4465. https://doi.org/10.3390/s25144465

Kucarov, M. D., Takács, M., Czakó, B. G., Molnár, B., & Kozlovszky, M. (2025). Mapping Manual Laboratory Tasks to Robot Movements in Digital Pathology Workflow. Sensors, 25(22), 6830. https://doi.org/10.3390/s25226830

Levendovics, T., Drexler, D. A., Ukhrenkov, N., Takács, Á., & Haidegger, T. (2025). Quantitative Analysis of Situation Awareness During Autonomous Vehicle Handover on the Da Vinci Research Kit. Sensors, 25(11), 3514. https://doi.org/10.3390/s25113514

Nemes, Á. G., Gyulai, Á., Szarvas, Á., Németh, E., Tajti, K., Tóth, V., & Eigner, G. (2025). Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG. IEEE Access, 13, 128314–128324. https://doi.org/10.1109/ACCESS.2025.3587262

Nyers, A., & Nyers, J. (2025). COPmax and Optimal Control of the Heat Pump Heating System Depending on the Warm Water Temperature. Energies, 18(13), 3553. https://doi.org/10.3390/en18133553

Puskás, M., & Drexler, D. A. (2025). Modeling the Error of Caliper Measurements in Animal Experiments. IEEE Access, 13, 54836–54852. https://doi.org/10.1109/ACCESS.2025.3555148

Réger, M., Horváth, R., Fábián, E. R., & Réti, T. (2025). Modelling the Impregnation of a Pressure-Tight Casting. International Journal of Metalcasting, 19(1), 165–175. https://doi.org/10.1007/s40962-024-01272-1

Szántó, M., Dénes-Fazakas, L., Noboa, E., Kovács, L., Borsos, D., Eigner, G., & Dulf, É.-H. (2025). Developing a Health Support System to Promote Care for the Elderly. Sensors, 25(2), 455. https://doi.org/10.3390/s25020455

Vali, M., Nezhad, H. M., Kovacs, L., & Gandomi, A. H. (2025). Machine learning algorithms for predicting PTSD: A systematic review and meta-analysis. BMC Medical Informatics and Decision Making, 25(1), 34. https://doi.org/10.1186/s12911-024-02754-2

Varga, Z., Bobcek, M., Conka, Z., & Racz, E. (2025). Machine Learning-Based Prediction of Dye-Sensitized Solar Cell Efficiency for Manufacturing Process Optimization. Energies, 18(18), 5011. https://doi.org/10.3390/en18185011

2026 – D1

Teimouri, A., Fathollahi, A., Raeiszadeh, M., Rezaei, M., & Mosavi, A. (2026). High-Speed Fault Detection and Location Approach for Multilevel Inverters Using Deep Learning and Reliability Evaluation. IEEE Open Journal of the Industrial Electronics Society, 7, 291–312. https://doi.org/10.1109/OJIES.2026.3651309

2026 – Q1

Biró, A., Kovács, L., & Szilágyi, L. (2026). Bioinformatics-Inspired IMU Stride Sequence Modeling for Fatigue Detection Using Spectral–Entropy Features and Hybrid AI in Performance Sports. Sensors, 26(2), 525. https://doi.org/10.3390/s26020525

Csizmadia, A., Molnar, B., Kucarov, M. D., Koos, K., Paulik, R., Kapczar, D., Krenacs, L., Csernus, B., Papp, G., & Krenacs, T. (2026). Enhanced Precision of Fluorescence In Situ Hybridization (FISH) Analysis Using Neural Network-Based Nuclear Segmentation for Digital Microscopy Samples. Sensors, 26(3), 873. https://doi.org/10.3390/s26030873

Érchegyi, A., & Rácz, E. (2026). Compilation of a Prediction-Based Validation Dataset for Heat Transfer Modeling of the Paks Spent Fuel Interim Storage Facility. Energies, 19(5), 1124. https://doi.org/10.3390/en19051124

Siket, M., Kovacs, L., & Eigner, G. (2026). Stochastic virtual population in type 1 diabetes. PLOS One, 21(2), e0341034. https://doi.org/10.1371/journal.pone.0341034