Janka HATVANI

Janka HATVANI

Biography

Janka Hatvani holds a Master’s degree in Info-Bionics Engineering from Pázmány Péter Catholic University, Hungary. She defended her PhD thesis in 2021 under the joint supervision of Paul Sabatier University (France) and PPCU. During her studies, her main research interests were ultrasound imaging and processing, super-resolution of CT images, and deep learning classification, segmentation of medical images in both industrial and academic environments. Currently, she works at PPCU, mainly focusing on ultrasound and phonocardiography-related research, and is a lecturer of the Master’s course in Biomedical Signal Processing. She also works for industrial partners focusing on 4D echocardiography and behavioural analysis.

Publications

  • Müller, K., Hatvani, J., Koller, M., & Goda, M. Á. (2024). pyPCG: a Python toolbox specialized for phonocardiography analysis. Physiological Measurement, 45(12), 125007.
  • Hatvani, J., Horváth, A., Michetti, J., Basarab, A., Kouamé, D., & Gyöngy, M. (2018). Deep learning-based super-resolution applied to dental computed tomography. IEEE Transactions on Radiation and Plasma Medical Sciences, 3(2), 120-128.
  • Hatvani, J., Basarab, A., Tourneret, J. Y., Gyöngy, M., & Kouamé, D. (2018). A tensor factorization method for 3-D super resolution with application to dental CT. IEEE transactions on medical imaging, 38(6), 1524-1531.
  • Hatvani, J., Basarab, A., Michetti, J., Gyöngy, M., & Kouamé, D. (2019, September). Tensor-Factorization-Based 3d Single Image Super-Resolution with Semi-Blind Point Spread Function Estimation. In 2019 IEEE International Conference on Image Processing (ICIP) (pp. 2871-2875). IEEE.
  • Hatvani, J., Michetti, J., Basarab, A., Gyöngy, M., & Kouamé, D. (2021, April). Single image super-resolution of noisy 3D dental CT images using tucker decomposition. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1673-1676). IEEE.
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