Franjo Pernuš

Franjo Pernuš, Ph.D.

Full Professor, Head of the Lab

Short CV

Franjo Pernuš received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from the University of Ljubljana, Ljubljana, Slovenia, in 1976, 1979, and 1991, respectively. Since 1976 he is with the Department of Electrical Engineering, University of Ljubljana, where he is currently a professor and head of the Laboratory of Imaging Technologies. His research interests are in computer vision, medical imaging, and the application of pattern recognition and image processing techniques to various biomedical and industrial problems. He is (co)author of over 150 refereed scientific articles on computer vision, medical image processing and machine vision and guest editor of one journal issue. He is co-founder of Sensum, a University of Ljubljana spin-off company, which supplies machine vision solutions.


2022 -- 2027
Biomedical image and signal analysis (ARRS P2-0232)
2014 -- 2017
Quantitative analysis of brain white matter lesions (ARRS J7-6781)
2013 -- 2016
Image-guided endovascular interventions (ARRS J2-5473)
2009 -- 2012
Automatic analysis of CT and MR spine images (ARRS J7-2246)
2008 -- 2011
Image registration in image-guided medical interventions (ARRS J2-0716)
2002 -- 2004
Model-based computer-assisted image analysis (ARRS Z2-4199)
1998 -- 2001
Biomedical image processing (ARRS J2-0659)
1999 -- 2000
An integrated computer vision system (ARRS L2-1581)
1996 -- 1998
Robotic vacuum cleaner (ARRS L2-7691)

Last Publications

Miran Bürmen, Franjo Pernuš, Peter Naglič: MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package. Journal of Biomedical Optics, 27(8):083012, 2022 [doi:10.1117/1.JBO.27.8.083012 ]
Peter Naglič, Franjo Pernuš, Miran Bürmen: Reflectance calibration of multimode optical fiber probes by probe-to-target distance reflectance profile modeling. Measurement, 203:112002, 2022 [doi:10.1016/j.measurement.2022.112002 ]
Žiga Bizjak, Franjo Pernuš, Žiga Špiclin: Deep shape features for predicting future intracranial aneurysm growth. Frontiers in Physiology, 12:644349, 2021 [doi:10.3389/fphys.2021.644349 ]
Tomaž Vrtovec, Domen Močnik, Primož Strojan, Franjo Pernuš, Bulat Ibragimov: Auto-segmentation of organs at risk for head and neck radiotherapy planning: from atlas-based to deep learning methods. Medical Physics, 47(9):e929-e950, 2020 [doi:10.1002/mp.14320 ]
Tim Jerman, Aichi Chien, Franjo Pernuš, Boštjan Likar, Žiga Špiclin: Automated cutting plane positioning for intracranial aneurysm quantification. IEEE Transactions on Biomedical Engineering, 67(2):577-587, 2020 [doi:10.1109/TBME.2019.2918921 ]