PhD in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Junior researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin: Practical priors for Bayesian inference of latent biomarkers. IEEE Journal of Biomedical and Health Informatics, 24(2):396-406, 2020 [doi:10.1109/JBHI.2019.2945077 ] [COBISS-ID:12721492 ]

Hennadii Madan, Franjo Pernuš, Žiga Špiclin: Reference-free error estimation for multiple measurement methods. Statistical Methods in Medical Research, 28(7):2196-2209, 2018 [doi:10.1177/0962280217754231 ] [COBISS-ID:11948116 ]

Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: A framework for automatic creation of gold-standard rigid 3D-2D registration datasets. International Journal of Computer Assisted Radiology and Surgery, 12(2):263-275, 2017 [doi:10.1007/s11548-016-1482-4 ] [COBISS-ID:11592532 ]

Hennadii Madan, Rok Berlot, Nicola J. Ray, Franjo Pernuš, Žiga Špiclin: Predicting nucleus basalis of Meynert volume from compartmental brain segmentations. 1st International Workshop on Predictive Intelligence in Medical Imaging - PRIME 2018, held in conjunction with the 21th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, Sep 16, Granada, Spain (I. Rekik et al., Eds.), Lecture Notes in Computer Science 11121:68-75, 2018 [doi:10.1007/978-3-030-00320-3_9 ] [COBISS-ID:12236116 ]

Hennadii Madan, Franjo Pernuš, Žiga Špiclin: Benchmarking quantitative imaging biomarker measurement methods without a gold standard. 20th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, Sep 10-14, Québec City, Canada (M. Descoteaux et al., Eds.), Lecture Notes in Computer Science 10434:763-771, 2017 [doi:10.1007/978-3-319-66185-8_86 ] [COBISS-ID:11879252 ]