| Graph cuts and efficient ND image segmentation Y Boykov, G Funka-Lea International Journal of Computer Vision 70 (2), 109-131, 2006 | 2452 | 2006 |
| A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes D Lesage, ED Angelini, I Bloch, G Funka-Lea Medical Image Analysis 13 (6), 819-845, 2009 | 1043 | 2009 |
| Multi-label image segmentation for medical applications based on graph-theoretic electrical potentials L Grady, G Funka-Lea Computer Vision and Mathematical Methods in Medical and Biomedical Image …, 2004 | 263 | 2004 |
| Automatic heart isolation for CT coronary visualization using graph-cuts G Funka-Lea, Y Boykov, C Florin, MP Jolly, R Moreau-Gobard, R Ramaraj, ... 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006 | 118 | 2006 |
| Combining color and geometry for the active, visual recognition of shadows G Funka-Lea, R Bajcsy Proceedings of IEEE International Conference on Computer Vision, 203-209, 1995 | 88 | 1995 |
| Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches YZHTG Funka-Lea Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013 3 …, 2013 | 72* | 2013 |
| Segmentation of the left ventricle in cardiac MR images MP Jolly, N Duta, G Funka-Lea Proceedings Eighth IEEE International Conference on Computer Vision. ICCV …, 2001 | 62 | 2001 |
| Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography D Lesage, ED Angelini, I Bloch, G Funka-Lea 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 56 | 2008 |
| Liver segmentation using sparse 3D prior models with optimal data support C Florin, N Paragios, G Funka-Lea, J Williams Information Processing in Medical Imaging, 38-49, 2007 | 51 | 2007 |
| 4D shape priors for a level set segmentation of the left myocardium in SPECT sequences T Kohlberger, D Cremers, M Rousson, R Ramaraj, G Funka-Lea International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 51 | 2006 |
| Automatic coronary tree modeling H Tek, MA Gulsun, S Laguitton, L Grady, D Lesage, G Funka-Lea The Insight Journal 1 (8), 2008 | 46 | 2008 |
| An energy minimization approach to the data driven editing of presegmented images/volumes L Grady, G Funka-Lea International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 45 | 2006 |
| Method and system for coronary artery centerline extraction Y Zheng, J Shen, H Tek, G Funka-Lea, F Vega-Higuera, D Comaniciu US Patent 9,129,417, 2015 | 44 | 2015 |
| Bayesian maximal paths for coronary artery segmentation from 3D CT angiograms D Lesage, ED Angelini, I Bloch, G Funka-Lea International Conference on Medical Image Computing and Computer-Assisted …, 2009 | 44 | 2009 |
| Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning MA Gülsün, G Funka-Lea, P Sharma, S Rapaka, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 38 | 2016 |
| System and method for detection of acoustic shadows and automatic assessment of image usability in 3D ultrasound images G Funka-Lea, J Stoll, L Valente US Patent 8,582,848, 2013 | 37 | 2013 |
| Editing of presegemented images/volumes with the multilabel random walker or graph cut segmentations L Grady, G Funka-Lea US Patent 7,729,537, 2010 | 34 | 2010 |
| Editing of presegmented images/volumes with the multilabel random walker or graph cut segmentations G Funka-lea, L Grady EP Patent 1,750,226, 2007 | 34* | 2007 |
| Design and study of flux-based features for 3D vascular tracking D Lesage, ED Angelini, I Bloch, G Funka-Lea Biomedical Imaging: From Nano to Macro, 2009. ISBI'09. IEEE International …, 2009 | 31 | 2009 |
| Organ segmentation with level sets using local shape and appearance priors T Kohlberger, MG Uzunbaş, C Alvino, T Kadir, DO Slosman, G Funka-Lea International Conference on Medical Image Computing and Computer-Assisted …, 2009 | 30 | 2009 |
Yefeng ZhengTencent, Shenzhen, ChinaVerified email at tencent.com
