Miklós Gyöngy was born in Budapest, Hungary, in 1983. He received the M.Eng. degree in engineering and computing science from the University of Oxford, Oxford, U.K., in 2005, and the D.Phil. degree from the University of Oxford in 2010, after gaining acceptance to the Life Sciences Interface Doctoral Training Centre Programme. In 2010, he joined the Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, where he is currently an Associate Professor. He teaches Diagnostic Ultrasound Imaging, Biomedical Signal Processing, Bionics In Practice, among others. His current research interests include ultrasound image modeling and reconstruction.


  • • Makra, Á., Bost, W., Kalló, I.,Horváth, A., Fournelle, M., Gyöngy, M.: “Enhancement of Acoustic Microscopy Lateral Resolution: A Comparison Between Deep Learning and Two Deconvolution Methods”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 67(1), 2019
  • • Csány Gergely, Gray Michael D., Gyöngy Miklós: Estimation of Acoustic Power Output from Electrical Impedance Measurements, Acoustics 2: (1) pp. 37-50. (2020)
  • • Csany Gergely, Szalai Klara, Gyongy Miklos: A real-time data-based scan conversion method for single element ultrasound transducers, ULTRASONICS 93: pp. 26-36. (2019)
  • • Hatvani Janka, Horvath Andras, Michetti Jerome, Basarab Adrian, Kouame Denis, Gyongy Miklos: Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography, IEEE Transactions on Radiation and Plasma Medical Sciences 3: (2) pp. 120-128. (2018)
  • • Hatvani Janka, Basarab Adrian, Tourneret Jean-Yves, Gyongy Miklos, Kouame Denis: A Tensor Factorization Method for 3D Super-Resolution with Application to Dental CT, IEEE TRANSACTIONS ON MEDICAL IMAGING 38: (6) pp. 1524-1531. (2018)
  • • Krisztián Füzesi, Natalia Ilyina, Erik Verboven, Koen Van Den Abeele, Miklós Gyöngy, Jan D'hooge: Temperature dependence of speed of sound and attenuation of porcine left ventricular myocardium, ULTRASONICS 82: pp. 246-251. (2018)
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