Prof. dr. Franc Jager
Full Professor
T: +386 1 479 8270
E:Send a message
Office hours: Monday from 11:00 to 12:00. Before the visit an e-mail is wellcome.
Room: R3.05 - Kabinet

My research areas include: biomedical signal and image processing, digital signal processing, biomedical computer systems, and human-computer interaction.

  • F. Jager. An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery,  Scientific Data, Vol. 10, Article number: 669, October 2023;, 2023. (Induced Cesarean EHG DataSet, ICEHG DS)
  • Ž. Pirnar, F. Jager and K. Geršak. Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records, Computers in Biology and Medicine, Vol. 151, Part A, December 2022, 106238;, 2022.
  • F. Jager, K. Geršak, P. Vouk, Ž. Pirnar, A. Trojner-Bregar, M. Lučovnik and A. Borovac. Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records, Sensors, Vol. 20(24), 7328;, 2020.
  • F. Jager, S. Libenšek and K. Geršak. Characterization and automatic classification of preterm and term uterine records, PLoS ONE, Vol. 13(8): e0202125, doi: 10.1371/journal.pone.0202125, 2018. (Term-Preterm EHG DataSet with Tocogram, TPEHGT DS)
  • M. Amon and F. Jager. Electrocardiogram ST-Segment Morphology Delineation Method Using Orthogonal Transformations, PLoS ONE, Vol. 11(2): e0148814, doi:10.1371/journal.pone.0148814, 2016.
  • A. Trojner-Bregar, M. Lučovnik, I. Verdenik, F. Jager, K. Geršak and R. Garfield. Uterine electromyography during active phase compared with latent phase of labor at term, Acta obstetricia et gynecologica Scandinavica, Vol. 95(2), pp. 197-202, doi:10.1111/aogs.12818, Feb. 2016.
  • U. Pangerc and F. Jager. Robust detection of heart beats in multimodal records using slope- and peak-sensitive band-pass filters, Physiological measurement, Vol. 36(8), pp. 1645-1664, doi:10.1088/0967-3334/36/8/1645, 2015.
  • A. J. Hussain, P. Fergus, H. Al-Askar, D. Al-Jumeily and F. Jager. Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women, Neurocomputing, Vol. 151(3), pp. 963-974,, 2015.