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Tim Jerman, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Blob enhancement and visualization for improved intracranial aneurysm detection
IEEE Transactions on Visualization and Computer Graphics, 22(6):1705-1717, 2016
[doi: 10.1109/TVCG.2015.2446493]
[FV: 2.254 (2016); 14/106 computer science, sowtware engineering; 1. četrtina]

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Dejan Knez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Computer-assisted screw size and insertion trajectory planning for pedicle screw placement surgery
IEEE Transactions on Medical Imaging, 35(6):1420-1430, 2016
[doi: 10.1109/TMI.2016.2514530]
[FV: 3.942 (2016); 9/105 computer science, interdisciplinary applications; 1. četrtina]

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Jurij Jemec, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Deconvolution-based restoration of SWIR pushbroom imaging spectrometer images
Optics Express, 24(21):24704-24718, 2016
[doi: 10.1364/OE.24.024704]
[FV: 3.307 (2016); 16/92 optics; 1. četrtina]

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Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Določanje velikosti in vstavitvene trajektorije pedikularnih vijakov v računalniškotomografskih (CT) slikah deformacij prsne hrbtenice: primerjava ročnega in računalniško podprtega predoperacijskega načrtovanja
Zdravniški vestnik, 85(11-12):619-631, 2016

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Tim Jerman, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Enhancement of vascular structures in 3D and 2D angiographic images
IEEE Transactions on Medical Imaging, 35(9):2107-2118, 2016
[doi: 10.1109/TMI.2016.2550102]
[FV: 3.942 (2016); 9/105 computer science, interdisciplinary applications; 1. četrtina]

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Peter Naglič, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Estimation of optical properties by spatially resolved reflectance spectroscopy in the subdiffusive regime
Journal of Biomedical Optics, 21(9):095003, 2016
[doi: 10.1117/1.JBO.21.9.095003]
[FV: 2.530 (2016); 40/126 radiology, nuclear medicine & medical imaging; 2. četrtina]

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Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images
NeuroImage, 124(Part A):1031-1043, 2016
[doi: 10.1016/j.neuroimage.2015.09.047]
[FV: 5.835 (2016); 1/14 neuroimaging; 1. četrtina]

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Žiga Lesjak, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Validation of white-matter lesion change detection methods on a novel publicly available MRI image database
Neuroinformatics, 14(4):403-420, 2016
[doi: 10.1007/s12021-016-9301-1]
[FV: 3.200 (2016); 17/105 computer science, interdisciplinary applications; 1. četrtina]

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Bulat Ibragimov, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Accurate landmark-based segmentation by incorporating landmark misdetections
2016 IEEE Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2016, 12-16 Apr, Prague, Czech Republic, J. Kybic, M. Sonka (Eds.), 1072-1075, 2016
[doi: 10.1109/ISBI.2016.7493451]

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Jurij Jemec, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Along-track calibration of SWIR push-broom hyperspectral imaging system
SPIE Defense + Commercial Sensing 2016, Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2016, 17-21 Apr, Baltimore, MD, USA, D.P. Bannon (Ed.), 9860:98600H, 2016
[doi: 10.1117/12.2223800]

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Dejan Knez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Automated determination of pedicle morphometry in the thoracic spine
2016 IEEE Symposium on Biomedical Imaging: From Nano to Macro - ISBI 2016, 12-16 Apr, Prague, Czech Republic, J. Kybic, M. Sonka (Eds.), 664-667, 2016
[doi: 10.1109/ISBI.2016.7493354]

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Dejan Knez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Automated pedicle screw size and trajectory planning by maximization of fastening strength
Computational Methods and Clinical Applications for Spine Imaging, Third International Workshop and Challenge, CSI 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2015, Lecture Notes in Computer Science 9402:3-13, 2016
[doi: 10.1007/978-3-319-41827-8_1]

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Dejan Knez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Avtomatska metoda načrtovanja velikosti in trajektorije pedikularnih vijakov
Računalniška obdelava slik in njena uporaba v Sloveniji - 11. strokovna konferenca - ROSUS 2016, 17. marec, Maribor, Slovenija, B. Potočnik (ur.), 55-68, 2016

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Tim Jerman, Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar in Žiga Špiclin
Combining unsupervised and supervised methods for lesion segmentation
Proceedings of the 1st BrainLes International Workshop held at the 18th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2015, Lecture Notes in Computer Science 9556:45-56, 2016
[doi: 10.1007/978-3-319-30858-6_5]

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Robert Korez, Bulat Ibragimov, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Deformable model-based segmentation of intervertebral discs from MR spine images by using the SSC descriptor
Computational Methods and Clinical Applications for Spine Imaging, Third International Workshop and Challenge, CSI 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2015, Lecture Notes in Computer Science 9402:117-124, 2016
[doi: 10.1007/978-3-319-41827-8_11]

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Matic Ivančič, Peter Naglič, Peter Usenik, Aleš Fidler, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Extraction of optical properties from hyperspectral images by Monte Carlo light propagation model
SPIE Photonics West 2016, Optical Interactions with Tissue and Cells XXVII, Tissue Optics and Optical Properties of Tissue III, 13-18 Feb, San Francisco CA, USA, E.D. Jansen (Ed.), 9706:97061A, 2016
[doi: 10.1117/12.2212807]

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Peter Naglič, Franjo Pernuš, Boštjan Likar in Miran Bürmen
Extraction of optical properties in the sub-diffuse regime by spatially resolved reflectance spectroscopy
SPIE Photonics West 2016, Optical Interactions with Tissue and Cells XXVII, Tissue Optics and Optical Properties of Tissue IV, 13-18 Feb, San Francisco CA, USA, E.D. Jansen (Ed.), 9706:97061C, 2016
[doi: 10.1117/12.2212947]

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Robert Korez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Joint detection and segmentation of vertebral bodies in CT images by sparse representation error minimization
SPIE Medical Imaging 2016, Image Processing, 27 Feb - 3 Mar, San Diego CA, USA, M.A. Styner, E.D. Angelini (Eds.), 9784:97842Y, 2016
[doi: 10.1117/12.2217087]

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Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Manual and computer-assisted pedicle screw placement plans: a quantitative comparison
Proceedings of the 4th MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging - MICCAI-CSI2016, J. Yao et al. (Eds.), Oct 17, Athens, Greece, 78-88, 2016

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Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Manual and computer-assisted pedicle screw placement plans: a quantitative comparison
Computational Methods and Clinical Applications for Spine Imaging, Fourth International Workshop and Challenge, CSI 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2016, Lecture Notes in Computer Science 10182:105-115, 2016
[doi: 10.1007/978-3-319-55050-3_10]

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Robert Korez, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Model-based segmentation of vertebral bodies from MR images with 3D CNNs
Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2016, S. Ourselin et al. (Eds.), 17-21 Oct, Athens, Greece, Lecture Notes in Computer Science 9901:433-441, 2016
[doi: 10.1007/978-3-319-46723-8_50]

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Dejan Knez, Janez Mohar, Boštjan Likar, Franjo Pernuš in Tomaž Vrtovec
Quantitative comparison between the straight-forward and anatomical insertion technique for pedicle screw placement
SPIE Medical Imaging 2016, Image Processing, 27 Feb - 3 Mar, San Diego CA, USA, M.A. Styner, E.D. Angelini (Eds.), 9784:978439, 2016
[doi: 10.1117/12.2216028]

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Bulat Ibragimov, Franjo Pernuš, Primož Strojan in Lei Xing
TH-CD-206-05: Machine-learning based segmentation of organs at risks for head and neck radiotherapy planning
Medical Physics, 43(6):3883, 2016
[doi: 10.1118/1.4958186]
[FV: 2.617 (2016); 37/126 radiology, nuclear medicine & medical imaging; 2. četrtina]

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