Publications
  1. G. Bognár. “Image quality measurement for low-dose human lung CT scans.” In: 38th Int. Conf. Telecom. Sign. Proc. (TSP). July 2015, 587–591. DOI: 10.1109/TSP.2015.7296331
  2. G. Bognár. “A No-Reference Image Quality Metric with Application in Low-Dose Human Lung CT Image Processing.” In: Int. J. Adv. Telecom. Elect. Sign. Syst. 5.1 (Jan. 2016), 1–7. DOI: 10.11601/ijates.v5i1.136
  3. G. Bognár and S. Fridli. “Heartbeat Classification of ECG Signals Using Rational Function Systems.” In: Computer Aided Systems Theory – EUROCAST 2017. Lecture Notes in Computer Science, vol. 10672. Ed. by R. Moreno-Díaz et al. Springer, Cham, 2018, 187–195. DOI: 10.1007/978-3-319-74727-9_22
  4. G. Bognár and F. Schipp. “Geometric interpretation of QRS complexes in ECG signals by rational functions.” In: Ann. Univ. Sci. Budapest., Sect. Comp. 47 (Aug. 2018), 155–166. PDF
  5. G. Bognár and S. Fridli. “On the Pole Stability of Rational Approximation.” In: Ann. Univ. Sci. Budapest., Sect. Comp. 49 (Oct. 2019), 35–49. PDF
  6. G. Bognár, S. Fridli, P. Kovács, and F. Schipp. “Adaptive Rational Transformations in Biomedical Signal Processing.” In: Progress in Industrial Mathematics at ECMI 2018. Ed. by S. Péter et al. Springer, Cham, 2019, 239–247. DOI: 10.1007/978-3-030-27550-1_30
  7. G. Bognár and S. Fridli. “ECG Segmentation by Adaptive Rational Transform.” In: Computer Aided Systems Theory – EUROCAST 2019. Lecture Notes in Computer Science, vol. 12014. Ed. by R. Moreno-Díaz et al. Springer, Cham, 2020, 347–354. DOI: 10.1007/978-3-030-45096-0_43
  8. T. Dózsa, G. Bognár, and P. Kovács. “Ensemble learning for heartbeat classification using adaptive orthogonal transformations.” In: Computer Aided Systems Theory – EUROCAST 2019. Lecture Notes in Computer Science. Ed. by R. Moreno-Díaz et al. Springer, Cham, 2020, 355–363. DOI: 10.1007/978-3-030-45096-0_44
  9. G. Bognár and S. Fridli. “ECG Heartbeat Classification by Means of Variable Rational Projection.” In: Biomed. Sign. Process. Control 61 (Aug. 2020), 102034. DOI: 10.1016/j.bspc.2020.102034
  10. P. Kovács, G. Bognár, C. Huber, and M. Huemer. “VPNet: Variable Projection Networks.” In: Int. J. Neural Syst. (Oct. 2021), 2150054. DOI: 10.1142/S0129065721500544
  11. S. Baumgartner, G. Bognár, O. Lang, and M. Huemer. “Neural Network Based Data Estimation for Unique Word OFDM.” In: 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, 381–388. DOI: 10.1109/IEEECONF53345.2021.9723229
  12. G. Bognár, S. Baumgartner, O. Lang, and M. Huemer. “Neural Network Optimal UW-OFDM.” In: 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, 389–394. DOI: 10.1109/IEEECONF53345.2021.9723117
  13. T. Dózsa, C. Böck, G. Bognár, J. Meier, and P. Kovács. “Color classification of visually evoked potentials by means of Hermite functions.” In: 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, 251–255. DOI: 10.1109/IEEECONF53345.2021.9723218
  14. S. Baumgartner, G. Bognár, O. Lang, and M. Huemer. “Neural Network Approaches for Data Estimation in Unique Word OFDM Systems.” In: IEEE Transactions on Vehicular Technology (Early Access, 2023). DOI: 10.1109/TVT.2023.3325367