LABORATORIJ ZA SLIKOVNE TEHNOLOGIJE
Objave - med letoma 1992 in 2017 za člana 'Žiga Špiclin' 
 

 
2017
1. Hennadii Madan, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. 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. [doi:10.1007/s11548-016-1482-4] [FV: 1.863 (2016); 97/196 surgery; 2. četrtina]
2. Žiga Lesjak, Alfiia Galimzianova, Aleš Koren, Matej Lukin, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. A novel public MR image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus. Neuroinformatics, 2017. [doi:10.1007/s12021-017-9348-7] [FV: 3.200 (2016); 17/105 computer science, interdisciplinary applications; 1. četrtina]
3. Žiga Lesjak, Boštjan Likar, Franjo Pernuš in Žiga Špiclin. Določitev optimalnih značilnic za zaznavo sprememb bele možganovine. Elektrotehniški vestnik, 84(3):85-92, 2017.
 
2016
4. 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]
5. 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]
6. 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]
7. 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]
 
2015
8. Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Robust estimation of unbalanced mixture models on samples with outliers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11):2273-2285, 2015. [doi:10.1109/TPAMI.2015.2404835] [FV: 6.077 (2015); 5/255 engineering, electrical & electronic; 1. četrtina]
9. Uroš Mitrović, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Simultaneous 3D–2D image registration and C-arm calibration: application to endovascular image-guided interventions. Medical Physics, 42(11):6433-6447, 2015. [doi:10.1118/1.4932626] [FV: 2.496 (2015); 41/124 radiology, nuclear medicine & medical imaging; 2. četrtina]
10. Žiga Špiclin. Vrednotenje mer podobnosti med strukturnimi tenzorji za poravnavo 3D in 2D slik. Elektrotehniški vestnik, 82(1-2):66-72, 2015.
 
2013
11. Uroš Mitrović, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. 3D-2D registration of cerebral angiograms: a method and evaluation on clinical images. IEEE Transactions on Medical Imaging, 32(8):1550-1563, 2013. [doi:10.1109/TMI.2013.2259844] [FV: 3.799 (2013); 16/247 engineering, electrical & electronic; 1. četrtina]
 
2012
12. Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Groupwise registration of multi-modal images by an efficient joint entropy minimization scheme. IEEE Transactions on Image Processing, 21(5):2546-2558, 2012. [doi:10.1109/TIP.2012.2186145] [FV: 3.199 (2012); 17/242 engineering, electrical & electronic; 1. četrtina]
 
2011
13. Žiga Špiclin, Marko Bukovec, Franjo Pernuš in Boštjan Likar. Image registration for visual inspection of imprinted pharmaceutical tablets. Machine Vision and Applications, 22(1):197-206, 2011. [doi:10.1007/s00138-007-0104-0] [FV: 1.009 (2011); 125/244 engineering, electrical & electronic; 3. četrtina]
 
2010
14. Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Franjo Pernuš in Boštjan Likar. Geometric calibration of a hyperspectral imaging system. Applied Optics, 49(15):2813–2818, 2010. [doi:10.1364/AO.49.002813] [FV: 1.703 (2010); 30/70 optics; 2. četrtina]
 
2007
15. Marko Bukovec, Žiga Špiclin, Franjo Pernuš in Boštjan Likar. Automated visual inspection of imprinted pharmaceutical tablets. Measurement Science and Technology, 18(9):2921-2930, 2007. [doi:10.1088/0957-0233/18/9/023] [FV: 1.297 (2007); 10/67 engineering, multidisciplinary; 1. četrtina]
 
2017
16. Hennadii Madan, Franjo Pernuš in Žiga Špiclin. Benchmarking quantitative imaging biomarker measurement methods without a gold standard. Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, M. Descoteaux et al. (Eds.), 10-14 Sep, Québec City, Canada, Lecture Notes in Computer Science 10434:763-771, 2017. [doi:10.1007/978-3-319-66185-8_86]
17. Hennadii Madan, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Regression without truth with Markov chain Monte-Carlo. SPIE Medical Imaging 2017, Image Perception, Observer Performance, and Technology Assessment, 11 - 16 Feb, Orlando FL, USA, M.A. Kupinski, R.M. Nishikawa (Eds.), 10136:101360K, 2017. [doi:10.1117/12.2255880]
 
2016
18. 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]
 
2015
19. Tim Jerman, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Beyond Frangi: an improved multiscale vesselness filter. SPIE Medical Imaging 2015, Image Processing, 21-26 Feb, Orlando FL, USA, S. Ourselin, M.A. Styner (Eds.), 9413:94132A-1-11, 2015. [doi:10.1117/12.2081147]
20. Tim Jerman, Alfiia Galimzianova, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Combining unsupervised and supervised methods for lesion segmentation. Proceedings of the MICCAI Brain Lesions (Brainles) Workshop, 5 Oct, Munich, Germany, 2015.
21. Tim Jerman, Franjo Pernuš, Boštjan Likar in Žiga Špiclin. Computer-aided detection and quantification of intracranial aneurysms. Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention, N. Navab et al. (Eds.), 5-9 Oct, Munich, Germany, Lecture Notes in Computer Science 9350:3-10, 2015. [doi:10.1007/978-3-319-24571-3_1]
22. Hennadii Madan, Boštjan Likar, Franjo Pernuš in Žiga Špiclin. Device and methods for gold standard registration of clinical 3D and 2D cerebral angiograms. SPIE Medical Imaging 2015, Image-Guided Procedures, 21-26 Feb, Orlando FL, USA, Z.R. Yaniv, R.J. Webster III (Eds.), 9415:94151G-1-10, 2015. [doi:10.1117/12.2081908]
23. Alfiia Galimzianova, Žiga Lesjak, Boštjan Likar, Franjo Pernuš in Žiga Špiclin. Locally-adaptive MR intensity models and MRF-based segmentation of multiple sclerosis lesions . SPIE Medical Imaging 2015, Image Processing, 21-26 Feb, Orlando FL, USA, S. Ourselin, M.A. Styner (Eds.), 9413:94133G-1-9, 2015. [doi:10.1117/12.2081642]
 
2014
24. Uroš Mitrović, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Automatic detection of misalignment in rigid 3D-2D registration. 2nd International MICCAI Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging - CLIP 2013, Sep 22, Nagoya, Japan, M. Erdt et al. (Eds.), Lecture Notes in Computer Science 8361:117-124, 2014. [doi:10.1007/978-3-319-05666-1_15]
25. Tim Jerman, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Blob enhancement filter for computer-aided diagnosis of cerebral aneurysms. Proceedings of the Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting - MICCAI CVII-STENT 2014, 14 Sep, Boston, USA, S.-L. Lee et al. (Eds.), 14-21, 2014.
26. Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Robust mixture-parameter estimation for unsupervised segmentation of brain MR images. 3rd International MICCAI Workshop on Medical Computer Vision: Large Data in Medical Imaging - MCV 2013, Sep 26, Nagoya, Japan, B. Menze et al. (Eds.), Lecture Notes in Computer Science 8331:84-94, 2014. [doi:10.1007/978-3-319-05530-5_9]
27. Žiga Lesjak, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Validation and comparison of intensity based methods for change detection in serial brain images. SPIE Medical Imaging 2014, Image Perception, Observer Performance, and Technology Assessment, 15-20 Feb, San Diego CA, USA, C.R. Mello-Thoms, M.A. Kupinski (Eds.), 9037:90371C, 2014. [doi:10.1117/12.2043102]
 
2013
28. Alfiia Galimzianova, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Automated segmentation of MS lesions in brain MR images using localized trimmed-likelihood estimation. SPIE Medical Imaging 2013, Image Processing, 9-14 Feb, Lake Buena Vista FL, USA, S. Ourselin, D.R. Haynor (Eds.), 8669:86693E, 2013. [doi:10.1117/12.2006381]
29. Uroš Mitrović, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Evaluation of 3D-2D registration methods for registration of 3D-DSA and 2D-DSA cerebral images. SPIE Medical Imaging 2013, Image Processing, 9-14 Feb, Lake Buena Vista FL, USA, S. Ourselin, D.R. Haynor (Eds.), 8669:866931, 2013. [doi:10.1117/12.2007009]
30. Uroš Mitrović, Žiga Špiclin, Boštjan Likar in Franjo Pernuš . Method for 3D-2D registration of vascular images: application to 3D contrast agent flow visualization. 1st International MICCAI Workshop on Clinical Image-Based Procedures: from Planning to Intervention - CLIP 2012, 5 Oct, Nice, France, K. Drechsler et al. (Eds.), Lecture Notes in Computer Science 7761:50-58, 2013. [doi:10.1007/978-3-642-38079-2_7]
 
2012
31. Uroš Mitrović, Žiga Špiclin, Darko Štern, Primož Markelj, Boštjan Likar, Zoran Milošević in Franjo Pernuš. 3D-2D registration of cerebral angiograms based on vessel directions and intensity gradients. SPIE Medical Imaging 2012, Image Processing, 4-9 Feb, San Diego CA, USA, D.R. Haynor, S. Ourselin (Eds.), 8314:83141T, 2012. [doi:10.1117/12.910904]
32. Žiga Špiclin, Miran Bürmen, Franjo Pernuš in Boštjan Likar. Characterization and modeling of the spatially and spectrally varying point-spread function in hyperspectral imaging systems for computational correction of axial optical aberrations. SPIE Photonics West 2012, Clinical Technologies and Systems, Design and Quality for Biomedical Technologies V, 21-26 Jan, San Francisco CA, USA, R. Raghavachari, R. Liang, J. Pfefer (Eds.), 8215:82150R, 2012. [doi:10.1117/12.908619]
33. Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Quad-tree based entropy estimator for fast and robust brain image registration. 5th International Workshop on Biomedical Image Registration - WBIR 2012, 7-8 Jul, Nashville, TN, USA, B.M. Dawant, G.E. Christensen , J.M. Fitzpatrick, D. Rueckert (Eds.), Lecture Notes in Computer Science 7359:160-169, 2012. [doi:10.1007/978-3-642-31340-0_17]
 
2011
34. Žiga Špiclin, Franjo Pernuš in Boštjan Likar. Correction of axial optical aberrations in hyper-spectral imaging systems. SPIE Photonics West 2011, Hyperspectral Imaging Systems, Design and Quality for Biomedical Technologies IV, 22-27 Jan, San Francisco CA, USA, R. Raghavachari, R. Liang (Eds.), 7891:78910S, 2011. [doi:10.1117/12.873180]
35. Žiga Špiclin, Peter Usenik, Miran Bürmen, Aleš Fidler, Franjo Pernuš in Boštjan Likar. Groupwise consistent image registration: crucial step for the construction of a standardized near infrared hyper-spectral teeth database. SPIE Medical Imaging 2011, Image Processing, 12-17 Feb, Lake Buena Vista FL, USA, B.M. Dawant, D.R. Haynor (Eds.), 7962:79622A, 2011. [doi:10.1117/12.877940]
36. Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Information-theoretic multi-modal image registration based on the improved fast Gauss transform: application to brain images . 1st International MICCAI Workshop on Multimodal Brain Image Analysis - MBIA 2011, 18 Sep, Toronto, ON, Canada, T. Liu et al. (Eds.), Lecture Notes in Computer Science 7012:135-142, 2011. [doi:10.1007/978-3-642-24446-9_17]
 
2010
37. Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Franjo Pernuš in Boštjan Likar. Geometrical calibration of an AOTF hyper-spectral imaging system. SPIE Photonics West 2010, Progress in Biomedical Optics and Imaging, Design and Quality for Biomedical Technologies III, 23-28 Jan, San Francisco CA, USA, R. Raghavachari, R. Liang (Eds.), 7556:75560I, 2010. [doi:10.1117/12.841727]
38. Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Real-time print localization on pharmaceutical capsules for automatic visual inspection. IEEE International Conference on Industrial Technology - ICIT 2010, 14-17 Mar, Viña del Mar, Chile, 279-284, 2010. [doi:10.1109/ICIT.2010.5472693]
 
2009
39. Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Registration of EEG electrode positions to PET and fMRI images. SPIE Medical Imaging 2009, Image Processing, 7-12 Feb, Lake Buena Vista FL, USA, J.P.W. Pluim, B.M. Dawant (Eds.), 7259:72592J, 2009. [doi:10.1117/12.811892]
 
2008
40. Žiga Špiclin, Arne Hans, Frank Duffy, Simon Warfield, Boštjan Likar in Franjo Pernuš. EEG to MRI registration based on global and local similarities of MRI intensity distributions. 11th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 6-10 Sep, New York, USA, D. Metaxas et al. (Eds.), Springer, Lecture Notes in Computer Science 5241:762-770, 2008. [doi:10.1007/978-3-540-85988-8_91]
 
2007
41. Marko Bukovec, Žiga Špiclin, Franjo Pernuš in Boštjan Likar. Geometrical and statistical visual inspection of imprinted tablets. 10th IAPR Conference on Machine Vision Applications - MVA 2007, 16-18 May, Tokyo, Japan, 412-415, 2007.
42. Žiga Špiclin, Marko Bukovec, Franjo Pernuš in Boštjan Likar. Matching images of imprinted tablets. 12th IEEE International Conference on Emerging Technologies and Factory Automation - ETFA 2007, 25-28 Sep, Patras, Greece., 916-919, 2007. [doi:10.1109/EFTA.2007.4416881] [FV: 5.561; 3/87 radiology, nuclear medicine & medical imaging; 1. četrtina]
 
2015
43. Žiga Lesjak, Alfiia Galimzianova, Boštjan Likar, Franjo Pernuš in Žiga Špiclin. Increased accuracy and reproducibility of MS lesion volume quantification by using publicly available BrainSeg3D image analysis software. Multiple Sclerosis Journal, 21(Suppl. 11):500-501, 2015. [doi:10.1177/1352458515602642] [FV: 4.671 (2015); 27/192 clinical neurology; 1. četrtina]
 
2013
44. Žiga Lesjak, Žiga Špiclin, Boštjan Likar in Franjo Pernuš. Avtomatska zaznava časovno pogojenih morfoloških sprememb v MR slikah glave. Raèunalniška obdelava slik in njena uporaba v Sloveniji - 8. strokovna konferenca - ROSUS 2013, 21. marec, Maribor, Slovenija, B. Potoènik (ur.), 65-71, 2013.
 
2007
45. Žiga Špiclin, Marko Bukovec, Franjo Pernuš in Boštjan Likar. Poravnava slik za vizualno kontrolo kakovosti. Raèunalniška obdelava slik in njena uporaba v Sloveniji - 2. strokovna konferenca - ROSUS 2007, 22. marec, Maribor, Slovenija, B. Potoènik (ur.), 55-64, 2007.
46. Marko Bukovec, Žiga Špiclin, Franjo Pernuš in Boštjan Likar. Vizualna kontrola kakovosti vtisnjenih farmacevtskih tablet. Raèunalniška obdelava slik in njena uporaba v Sloveniji - 2. strokovna konferenca - ROSUS 2007, 22. marec, Maribor, Slovenija, B. Potoènik (ur.), 65-74, 2007.
 

 
Vir: http://lit.fe.uni-lj.si   |   Datum: 20.11.2017   |   Ura: 4:36