| A review of 3D/2D registration methods for image-guided interventions P Markelj, D Tomaževič, B Likar, F Pernuš Medical image analysis 16 (3), 642-661, 2012 | 946 | 2012 |
| Comparative evaluation of retrospective shading correction methods D Tomaževič, B Likar, F Pernuš Journal of Microscopy 208 (3), 212-223, 2002 | 125 | 2002 |
| Real-time automated visual inspection of color tablets in pharmaceutical blisters J Derganc, B Likar, D Tomaževič, F Pernuš Real-Time Imaging 9 (2), 113-124, 2003 | 74 | 2003 |
| Digital imaging as a process analytical technology tool for fluid-bed pellet coating process M Možina, D Tomaževič, S Leben, F Pernuš, B Likar European Journal of Pharmaceutical Sciences 41 (1), 156-162, 2010 | 54 | 2010 |
| “Gold standard” data for evaluation and comparison of 3D/2D registration methods D Tomaževič, B Likar, F Pernuš Computer aided surgery 9 (4), 137-144, 2004 | 53 | 2004 |
| Automated visual inspection of imprint quality of pharmaceutical tablets M Možina, D Tomaževič, F Pernuš, B Likar Machine vision and applications 24 (1), 63-73, 2013 | 51 | 2013 |
| In-line monitoring of pellet coating thickness growth by means of visual imaging NO Kadunc, B Likar, D Tomaževič International journal of pharmaceutics 470 (1), 8-14, 2014 | 42 | 2014 |
| Evaluation of similarity measures for reconstruction-based registration in image-guided radiotherapy and surgery D Škerl, D Tomaževič, B Likar, F Pernuš International Journal of Radiation Oncology* Biology* Physics 65 (3), 943-953, 2006 | 35 | 2006 |
| Real-time image segmentation for visual inspection of pharmaceutical tablets M Možina, D Tomaževič, F Pernuš, B Likar Machine vision and applications 22 (1), 145-156, 2011 | 31 | 2011 |
| In-line recognition of agglomerated pharmaceutical pellets with density-based clustering and convolutional neural network A Mehle, B Likar, D Tomaževič IPSJ Transactions on Computer Vision and Applications 9 (1), 7, 2017 | 29 | 2017 |
| Multi-feature mutual information D Tomaževič, B Likar, F Pernuš Medical Imaging: Image Processing 5370, 143-154, 2004 | 28* | 2004 |
| Multi-feature mutual information image registration D Tomaževič, B Likar, F Pernuš Image Analysis & Stereology 31 (1), 43-53, 2012 | 26 | 2012 |
| Standardized evaluation of 2D-3D registration EB van de Kraats, GP Penney, D Tomaževič, T van Walsum, WJ Niessen International Conference on Medical Image Computing and Computer-Assisted …, 2004 | 24 | 2004 |
| Automated construction of 3D statistical shape models T Vrtovec, D Tomaževič, B Likar, L Travnik, F Pernuš Image Analysis & Stereology 23 (2), 111-120, 2011 | 23 | 2011 |
| In-line agglomeration degree estimation in fluidized bed pellet coating processes using visual imaging A Mehle, D Kitak, G Podrekar, B Likar, D Tomaževič International journal of pharmaceutics 546 (1-2), 78-85, 2018 | 21 | 2018 |
| Characterization of a spectrograph based hyperspectral imaging system M Kosec, M Bürmen, D Tomaževič, F Pernuš, B Likar Optics express 21 (10), 12085-12099, 2013 | 20 | 2013 |
| Gradient-based registration of 3D MR and 2D X-ray images D Tomaževič, B Likar, F Pernuš International Congress Series 1230, 338-345, 2001 | 17 | 2001 |
| " Gold standard" 2D/3D registration of X-ray to CT and MR images D Tomaževič, B Likar, F Pernuš | 15 | 2002 |
| Model based visual inspection of pharmaceutical tablets with photometric stereo G Podrekar, D Tomaževič, B Likar, P Usenik Machine Vision Applications (MVA), 2017 Fifteenth IAPR International …, 2017 | 14 | 2017 |
| 3D/2D image registration: The impact of X-ray views and their number D Tomaževič, B Likar, F Pernuš Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007, 450-457, 2007 | 14 | 2007 |
