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Žiga Špiclin
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Enhancement of vascular structures in 3D and 2D angiographic images
T Jerman, F Pernuš, B Likar, Ž Špiclin
IEEE transactions on medical imaging 35 (9), 2107-2118, 2016
2702016
Beyond Frangi: an improved multiscale vesselness filter
T Jerman, F Pernuš, B Likar, Ž Špiclin
Medical imaging 2015: Image processing 9413, 623-633, 2015
1102015
A novel public MR image dataset of multiple sclerosis patients with lesion segmentations based on multi-rater consensus
Ž Lesjak, A Galimzianova, A Koren, M Lukin, F Pernuš, B Likar, Ž Špiclin
Neuroinformatics 16, 51-63, 2018
1022018
3D-2D registration of cerebral angiograms: A method and evaluation on clinical images
F Pernus
IEEE transactions on medical imaging 32 (8), 1550-1563, 2013
682013
Blob enhancement and visualization for improved intracranial aneurysm detection
T Jerman, F Pernuš, B Likar, Ž Špiclin
IEEE Transactions on Visualization and Computer Graphics 22 (6), 1705-1717, 2015
422015
Automated visual inspection of imprinted pharmaceutical tablets
M Bukovec, Ž Špiclin, F Pernuš, B Likar
Measurement Science and Technology 18 (9), 2921, 2007
402007
Groupwise Registration of Multimodal Images by an Efficient Joint Entropy Minimization Scheme
Ž Špiclin, B Likar, F PernuŠ
IEEE Transactions on Image Processing 21 (5), 2546, 2012
392012
Validation of white-matter lesion change detection methods on a novel publicly available MRI image database
Ž Lesjak, F Pernuš, B Likar, Ž Špiclin
Neuroinformatics 14 (4), 403-420, 2016
342016
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images
A Galimzianova, F Pernuš, B Likar, Ž Špiclin
NeuroImage 124, 1031-1043, 2016
272016
Geometric calibration of a hyperspectral imaging system
Ž Špiclin, J Katrašnik, M Bürmen, F Pernuš, B Likar
Applied optics 49 (15), 2813-2818, 2010
262010
Simultaneous 3D–2D image registration and C‐arm calibration: Application to endovascular image‐guided interventions
U Mitrović, F Pernuš, B Likar, Ž Špiclin
Medical physics 42 (11), 6433-6447, 2015
232015
Combining unsupervised and supervised methods for lesion segmentation
T Jerman, A Galimzianova, F Pernuš, B Likar, Ž Špiclin
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
222016
Image registration for visual inspection of imprinted pharmaceutical tablets
Ž Špiclin, M Bukovec, F Pernuš, B Likar
Machine Vision and Applications 22, 197-206, 2011
222011
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation
S Denner, A Khakzar, M Sajid, M Saleh, Z Spiclin, ST Kim, N Navab
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
212021
Computer-aided detection and quantification of intracranial aneurysms
T Jerman, F Pernuš, B Likar, Ž Špiclin
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
202015
3D–2D registration in endovascular image-guided surgery: Evaluation of state-of-the-art methods on cerebral angiograms
U Mitrović, B Likar, F Pernuš, Ž Špiclin
International journal of computer assisted radiology and surgery 13, 193-202, 2018
192018
Robust estimation of unbalanced mixture models on samples with outliers
A Galimzianova, F Pernuš, B Likar, Ž Špiclin
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (11), 2273 …, 2015
182015
Aneurysm detection in 3D cerebral angiograms based on intra-vascular distance mapping and convolutional neural networks
T Jerman, F Pernus, B Likar, Ž Špiclin
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
162017
Fast and robust 3D to 2D image registration by backprojection of gradient covariances
Ž Špiclin, B Likar, F Pernuš
Biomedical Image Registration: 6th International Workshop, WBIR 2014, London …, 2014
162014
Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: An exploratory randomized controlled trial
L Savšek, T Stergar, V Strojnik, I Alojz, A Koren, Ž Špiclin, SŠ Jazbec
Journal of Rehabilitation Medicine 53 (4), 2021
152021
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