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.

Biomedical image and signal analysis (ARIS P2-0232)

Quantitative analysis of brain white matter lesions (ARRS J7-6781)

Image-guided endovascular interventions (ARRS J2-5473)

Automatic analysis of CT and MR spine images (ARRS J7-2246)

Image registration in image-guided medical interventions (ARRS J2-0716)

Model-based computer-assisted image analysis (ARRS Z2-4199)

Biomedical image processing (ARRS J2-0659)

An integrated computer vision system (ARRS L2-1581)

Robotic vacuum cleaner (ARRS L2-7691)

Lara Dular, Franjo Pernuš, Žiga Špiclin: Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Computers in Biology and Medicine, 173:108320, 2024 [doi:10.1016/j.compbiomed.2024.108320 ]

Žiga Bizjak, June Ho Choi, Wonhyoung Park, Franjo Pernuš, Žiga Špiclin: Deep geometric learning for intracranial aneurysm detection: towards expert rater performance. Journal of Neurointerventional Surgery, 2023 [doi:10.1136/jnis-2023-020905 ]

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 ]