| Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography HA Kirişli, M Schaap, CT Metz, AS Dharampall, WB Meijboom, ... Medical Image Analysis 17 (8), 859–876, 2013 | 152 | 2013 |
| Mineral composition as a characteristic for the identification of animal origin of raw milk F Rincón, R Moreno, G Zurera, M Amaro Journal of dairy research 61, 151-154, 1994 | 51 | 1994 |
| Vessel Segmentation Using Implicit Model-Guided Level Sets C Wang, R Moreno, O Smedby 3D Cardiovascular Imaging: a MICCAI segmentation challenge, 2012 | 40 | 2012 |
| Trabecular bone structure parameters from 3D image processing of clinical multi-slice and cone-beam computed tomography data E Klintström, Ö Smedby, R Moreno, TB Brismar Skeletal radiology 43 (2), 197-204, 2014 | 37 | 2014 |
| A new methodology for evaluation of edge detectors R Moreno, D Puig, C Julia, MA Garcia 2009 16th IEEE International Conference on Image Processing (ICIP), 2157-2160, 2009 | 35 | 2009 |
| Generalizing the mean intercept length tensor for gray-level images R Moreno, M Borga, Ö Smedby Medical physics (Lancaster) 39 (7), 4599-4612, 2012 | 33 | 2012 |
| On improving the efficiency of tensor voting R Moreno, MA Garcia, D Puig, L Pizarro, B Burgeth, J Weickert IEEE transactions on pattern analysis and machine intelligence 33 (11), 2215 …, 2011 | 31 | 2011 |
| Techniques for computing fabric tensors: a review R Moreno, M Borga, Ö Smedby Visualization and processing of tensors and higher order descriptors for …, 2014 | 28 | 2014 |
| Estimation of trabecular thickness in gray-scale images through granulometric analysis R Moreno, M Borga, Ö Smedby Medical Imaging 2012: Image Processing 8314, 831451, 2012 | 22 | 2012 |
| Gradient-based enhancement of tubular structures in medical images R Moreno, Ö Smedby Medical image analysis 26 (1), 19-29, 2015 | 19 | 2015 |
| Trabecular bone histomorphometric measurements and contrast-to-noise ratio in CBCT E Klintström, Ö Smedby, B Klintström, TB Brismar, R Moreno Dentomaxillofacial Radiology 43 (8), 20140196, 2014 | 18 | 2014 |
| Robust color edge detection through tensor voting R Moreno, MA Garcia, D Puig, C Julià 2009 16th IEEE International Conference on Image Processing (ICIP), 2153-2156, 2009 | 17 | 2009 |
| Predicting trabecular bone stiffness from clinical cone-beam CT and HR-pQCT data; an in vitro study using finite element analysis E Klintström, B Klintström, R Moreno, TB Brismar, DH Pahr, Ö Smedby PloS one 11 (8), e0161101, 2016 | 16 | 2016 |
| Adaptation of tensor voting to image structure estimation R Moreno, L Pizarro, B Burgeth, J Weickert, MA Garcia, D Puig New Developments in the Visualization and Processing of Tensor Fields, 29-50, 2012 | 12 | 2012 |
| Edge-preserving color image denoising through tensor voting R Moreno, MA Garcia, D Puig, C Julià Computer Vision and Image Understanding 115 (11), 1536-1551, 2011 | 12 | 2011 |
| An efficient radiographic image retrieval system using convolutional neural network M Chowdhury, SR Bulo, R Moreno, MK Kundu, Ö Smedby 2016 23rd International Conference on Pattern Recognition (ICPR), 3134-3139, 2016 | 11 | 2016 |
| Prediction of apparent trabecular bone stiffness through fourth-order fabric tensors R Moreno, Ö Smedby, DH Pahr Biomechanics and modeling in mechanobiology 15 (4), 831-844, 2016 | 11 | 2016 |
| Graph-based perceptual segmentation of stereo vision 3D images at multiple abstraction levels R Moreno, MA Garcia, D Puig International Workshop on Graph-Based Representations in Pattern Recognition …, 2007 | 10 | 2007 |
| Soft classification of trabeculae in trabecular bone R Moreno, Ö Smedby, M Borga 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 9 | 2011 |
| Quantitative fat and R2* mapping in vivo to measure lipid‐rich necrotic core and intraplaque hemorrhage in carotid atherosclerosis S Koppal, M Warntjes, J Swann, P Dyverfeldt, J Kihlberg, R Moreno, ... Magnetic resonance in medicine 78 (1), 285-296, 2017 | 8 | 2017 |
Örjan SmedbyProfessor of Medical image processing and visualization, KTH Royal Institute of TechnologyVerified email at kth.se
