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Bostjan Likar
Full professor
>> Title: Prof. Bostjan Likar, Ph.D.
  Address: University of Ljubljana, Faculty of Electrical Engineering, Trzaska 25, SI-1000 Ljubljana, Slovenia
  Phone: +386 1 4768 782
  E-mail: bostjan.likarfe.uni-lj.si
Study courses
>> Lecturer: Medical Informatics and Diagnostics
  Statistical Process Control
  Imaging Technologies
  Imaging Informatics
  Product Design and Development
  Biomedical Imaging Technologies
Curriculum vitae
>> Boštjan Likar was born in 1971. He received the B.Sc., M.Sc., and Ph.D. degrees in 1995, 1998, and 2000, respectively, all in electrical engineering from the Faculty of Electrical Engineering, University of Ljubljana, Slovenia, and a Ph.D. degree in 2000 from Utrecht University, Medical Faculty, The Netherlands. He became teaching assistant in 1996, senior lecturer in 1999, assistant professor in 2001, associate professor in 2006 and full professor in 2011, all at the Faculty of Electrical Engineering, University of Ljubljana. Boštjan Likar is author of three university textbooks and mentor of eight junior researchers. He is with the Laboratory of Imaging Technologies and his research interests concentrate on visual quality inspection, computer and machine vision systems, and on biomedical and hyperspectral imaging. He is author of over 80 SCI journal papers with over 700 clear citations, editor of two international conference proceedings, chair of two international conferences, associate editor of a special issue in a Medical Image Analysis journal, associate editor of Image Analysis and Stereology journal, reviewer of over ten SCI journals, program committee member of over 15 international conferences, principal researcher of eight research projects, designer of more than 20 new computer vision products, and co-founder of high-tech company Sensum, computer vision systems.
Selected publications
>> Jurij Jemec, Franjo Pernus, Bostjan Likar and Miran Buermen. 2D sub-pixel point spread function measurement using a virtual point-like source. International Journal of Computer Vision, 121(3):391-402, 2017. [  PDF ]
  Hennadii Madan, Franjo Pernus, Bostjan Likar and Ziga Spiclin. 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. [  PDF ]
  Ziga Lesjak, Alfiia Galimzianova, Ales Koren, Matej Lukin, Franjo Pernus, Bostjan Likar and Ziga Spiclin. A novel public MR image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus. Neuroinformatics, 2017. [  PDF ]
  Peter Naglic, Franjo Pernus, Bostjan Likar and Miran Buermen. Adopting higher-order similarity relations for improved estimation of optical properties from subdiffusive reflectance . Optics Letters, 42(7):1357-1360, 2017. [  PDF ]
  Ziga Lesjak, Bostjan Likar, Franjo Pernus and Ziga Spiclin. Dolocitev optimalnih znacilnic za zaznavo sprememb bele mozganovine. Elektrotehniski vestnik, 84(3):85-92, 2017. [  PDF ]
  Andraz Mehle, Bostjan Likar and Dejan Tomazevic. In-line recognition of agglomerated pharmaceutical pellets with density-based clustering and convolutional neural network. IPSJ Transactions on Computer Vision and Applications, 9:7, 2017. [  PDF ]
  Peter Naglic, Franjo Pernus, Bostjan Likar and Miran Buermen. Lookup table-based sampling of the phase function for Monte Carlo simulations of light propagation in turbid media. Biomedical Optics Express, 8(3):1895-1910, 2017. [  PDF ]
  Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing and Tomaz Vrtovec. Segmentation of pathological structures by landmark-assisted deformable models. IEEE Transactions on Medical Imaging, 36(7):1457-1469, 2017. [  PDF ]
  Matic Ivancic, Peter Naglic, Franjo Pernus, Bostjan Likar and Miran Buermen. Virtually increased acceptance angle for efficient estimation of spatially resolved reflectance in the subdiffusive regime: a Monte Carlo study. Biomedical Optics Express, 8(11):4872-4886, 2017. [  PDF ]
  Tim Jerman, Franjo Pernus, Bostjan Likar and Ziga Spiclin. Blob enhancement and visualization for improved intracranial aneurysm detection. IEEE Transactions on Visualization and Computer Graphics, 22(6):1705-1717, 2016. [  PDF ]