| 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 | 280 | 2016 |
| Beyond Frangi: an improved multiscale vesselness filter T Jerman, F Pernuš, B Likar, Ž Špiclin Medical imaging 2015: Image processing 9413, 623-633, 2015 | 111 | 2015 |
| 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 | 110 | 2018 |
| 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 | 69 | 2013 |
| 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 | 45 | 2015 |
| Automated visual inspection of imprinted pharmaceutical tablets M Bukovec, Ž Špiclin, F Pernuš, B Likar Measurement Science and Technology 18 (9), 2921, 2007 | 40 | 2007 |
| 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 | 39 | 2012 |
| 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 | 35 | 2016 |
| 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 | 27 | 2016 |
| Geometric calibration of a hyperspectral imaging system Ž Špiclin, J Katrašnik, M Bürmen, F Pernuš, B Likar Applied optics 49 (15), 2813-2818, 2010 | 27 | 2010 |
| 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 | 23 | 2015 |
| 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 | 22 | 2016 |
| 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 | 22 | 2011 |
| 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 | 21 | 2021 |
| 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 | 21 | 2015 |
| 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 | 20 | 2018 |
| 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 | 18 | 2021 |
| 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 | 18 | 2015 |
| 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 | 16 | 2017 |
| 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 | 16 | 2014 |
Tim JermanUniversity of Ljubljana, Faculty of Electrical Engineering在 fe.uni-lj.si 的电子邮件经过验证
