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Computer Science

D-Index
38
Citations
8912
World Ranking
10029
National Ranking
15

Overview

Boštjan Likar is affiliated with the University of Ljubljana in Slovenia and contributes to research primarily in the fields of Medicine and Engineering. Their work spans several subfields including Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Neurology, Pulmonary and Respiratory Medicine, and Aerospace Engineering.

The scientist's research focuses on topics such as Intracranial Aneurysms: Treatment and Complications, Optical Imaging and Spectroscopy Techniques, Photoacoustic and Ultrasonic Imaging, Cerebrovascular and Carotid Artery Diseases, Retinal Imaging and Analysis, Optical Coherence Tomography Applications, and Calibration and Measurement Techniques.

Boštjan Likar has coauthored multiple papers with several frequent collaborators, including:

  • Franjo Pernuš (4 papers)
  • Žiga Bizjak (3 papers)
  • Žiga Špiclin (3 papers)
  • Peter Naglič (2 papers)
  • Yevhen Zelinskyi (2 papers)

Their publications have appeared in journals and venues such as Biomedical Optics Express, arXiv (Cornell University), and Lecture Notes in Computer Science. Notable recent papers include:

  • Determination of refractive index, size, and solid content of monodisperse polystyrene microsphere suspensions for the characterization of optical phantoms, 2020, Biomedical Optics Express
  • Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network, 2020, Biomedical Optics Express
  • Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification, 2020, Lecture notes in computer science
  • Vascular surface segmentation for intracranial aneurysm isolation and quantification, 2020, arXiv (Cornell University)
  • Modality agnostic intracranial aneurysm detection through supervised vascular surface classification, 2020, arXiv (Cornell University)

Best Publications

  • A Review of Methods for Correction of Intensity Inhomogeneity in MRI

    U. Vovk;F. Pernus;B. Likar

  • A review of 3D/2D registration methods for image-guided interventions

    Primož Markelj;Dejan Tomaževič;Boštjan Likar;Franjo Pernuš

  • Retrospective correction of MR intensity inhomogeneity by information minimization

    B. Likar;M.A. Viergever;F. Pernus

  • A Survey of Mobile Robots for Distribution Power Line Inspection

    J. Katrasnik;F. Pernus;B. Likar

  • A review of methods for quantitative evaluation of spinal curvature

    Tomaž Vrtovec;Franjo Pernuš;Boštjan Likar

  • A hierarchical approach to elastic registration based on mutual information

    Bostjan Likar;Franjo Pernus

  • Enhancement of Vascular Structures in 3D and 2D Angiographic Images

    Tim Jerman;Franjo Pernus;Bostjan Likar;Ziga Spiclin

  • 3-D/2-D registration of CT and MR to X-ray images

    D. Tomazevic;B. Likar;T. Slivnik;F. Pernus

  • New Robot for Power Line Inspection

    J. Katrasnik;F. Pernus;B. Likar

  • Retrospective shading correction based on entropy minimization.

    B Likar;J B Maintz;M A Viergever;F Pernus

  • A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation

    Robert Korez;Bulat Ibragimov;Bostjan Likar;Franjo Pernus

  • A protocol for evaluation of similarity measures for rigid registration

    D. Skerl;B. Likar;F. Pernus

  • Shape Representation for Efficient Landmark-Based Segmentation in 3-D

    Bulat Ibragimov;Bostjan Likar;Franjo Pernus;Tomaz Vrtovec

  • Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images.

    Darko Štern;Boštjan Likar;Franjo Pernuš;Tomaž Vrtovec

  • Robust Gradient-Based 3-D/2-D Registration of CT and MR to X-Ray Images

    P. Markelj;D. Tomazevic;F. Pernus;B. Likar

  • A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.

    Žiga Lesjak;Alfiia Galimzianova;Aleš Koren;Matej Lukin

  • Comparative evaluation of retrospective shading correction methods

    D Tomazevic;B Likar;F Pernus

  • Model-Based Segmentation of Vertebral Bodies from MR Images with 3D CNNs

    Robert Korez;Boštjan Likar;Franjo Pernuš;Tomaž Vrtovec

  • 3-D/2-D registration by integrating 2-D information in 3-D

    D. Tomazevic;B. Likar;F. Pernus

  • Beyond Frangi: an improved multiscale vesselness filter

    Tim Jerman;Franjo Pernuš;Boštjan Likar;Žiga Špiclin

  • Intensity inhomogeneity correction of multispectral MR images.

    Uroš Vovk;Franjo Pernuš;Boštjan Likar

Frequent Co-Authors

Franjo Pernuš
Franjo Pernuš University of Ljubljana
Max A. Viergever
Max A. Viergever Utrecht University
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Sebastien Ourselin
Sebastien Ourselin King's College London
Simon K. Warfield
Simon K. Warfield Boston Children's Hospital
Lei Xing
Lei Xing Stanford University
Wolfgang Birkfellner
Wolfgang Birkfellner Medical University of Vienna
Daniel L. Rubin
Daniel L. Rubin Stanford University
J. Michael Fitzpatrick
J. Michael Fitzpatrick Vanderbilt University
Frank H. Duffy
Frank H. Duffy Boston Children's Hospital

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