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Bostjan Likar
Full professor
 
Contact
 
>> 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
 
>> Uros Mitrovic, Bostjan Likar, Franjo Pernus and Ziga Spiclin. 3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms. International Journal of Computer Assisted Radiology and Surgery, 13(2):193-202, 2018. [  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, 16(1):51-63, 2018. [  PDF ]
  Matic Ivancic, Peter Naglic, Franjo Pernus, Bostjan Likar and Miran Buermen. Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks. Optics Letters, 43(12):2901-2904, 2018.
  Domen Mocnik, Bulat Ibragimov, Lei Xing, Primoz Strojan, Bostjan Likar, Franjo Pernus and Tomaz Vrtovec. Segmentation of parotid glands from registered CT and MR images. Physica Medica, 52:33-41, 2018. [  PDF ]
  Dejan Knez, Janez Mohar, Robert J. Cirman, Bostjan Likar, Franjo Pernus and Tomaz Vrtovec. Variability analysis of manual and computer-assisted preoperative thoracic pedicle screw placement planning. Spine, 43(21):1487-1495, 2018. [  PDF ]
  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 ]
  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 ]