A new minimum variance region growing algorithm for image segmentation C Revol, M Jourlin Pattern Recognition Letters 18 (3), 249-258, 1997 | 163 | 1997 |
Automated 3D region growing algorithm based on an assessment function C Revol-Muller, F Peyrin, Y Carrillon, C Odet Pattern Recognition Letters 23 (1-3), 137-150, 2002 | 128 | 2002 |
Influence of age and sex on aortic distensibility assessed by MRI in healthy subjects JL Rose, A Lalande, O Bouchot, EB Bourennane, PM Walker, P Ugolini, ... Magnetic resonance imaging 28 (2), 255-263, 2010 | 65 | 2010 |
Segmentation of the pulmonary vascular trees in 3D CT images using variational region-growing M Orkisz, MH Hoyos, VP Romanello, CP Romanello, JC Prieto, ... Irbm 35 (1), 11-19, 2014 | 57 | 2014 |
Unifying variational approach and region growing segmentation JL Rose, T Grenier, C Revol-Muller, C Odet 2010 18th European Signal Processing Conference, 1781-1785, 2010 | 26 | 2010 |
Vesselness-guided variational segmentation of cellular networks from 3D micro-CT A Pacureanu, C Revol-Muller, JL Rose, MS Ruiz, F Peyrin 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010 | 25 | 2010 |
Shape prior integrated in an automated 3d region growing method JL Rose, C Revol-Muller, M Almajdub, E Chereul, C Odet 2007 IEEE International Conference on Image Processing 1, I-53-I-56, 2007 | 20 | 2007 |
3D robust adaptive region growing for segmenting [18F] fluoride ion PET images T Grenier, C Revol-Muller, N Costes, M Janier, G Gimenez 2006 IEEE Nuclear Science Symposium Conference Record 5, 2644-2648, 2006 | 20 | 2006 |
Variational region growing R Jean-Loic, RM Chantal, O Christophe, C Reichert International Conference on Computer Vision Theory and Applications 1, 166-171, 2009 | 19 | 2009 |
Hybrid approach for multiparametric mean shift filtering T Grenier, C Revol-Muller, G Gimenez 2006 International Conference on Image Processing, 1541-1544, 2006 | 18 | 2006 |
Shape prior criterion based on Tchebichef moments in variational region growing JL Rose, JL Rose, C Revol-Muller, D Charpigny, C Odet 2009 16th IEEE International Conference on Image Processing (ICIP), 1081-1084, 2009 | 17 | 2009 |
Automated seeds location for whole body NaF PET segmentation T Grenier, C Revol-Muller, N Costes, M Janier, G Gimenez IEEE transactions on nuclear science 52 (5), 1401-1405, 2005 | 15 | 2005 |
Dempster shafer approach for high level data fusion applied to the assessment of myocardial viability C Muller, M Rombaut, M Janier International Workshop on Functional Imaging and Modeling of the Heart, 104-112, 2001 | 14 | 2001 |
Automated 3D region growing algorithm governed by an evaluation function C Revol-Muller, F Peyrin, C Odet, Y Carillon Proceedings 2000 International Conference on Image Processing (Cat. No …, 2000 | 13 | 2000 |
3D region growing integrating adaptive shape prior JL Rose, C Revol-Muller, JB Langlois, M Janier, C Odet 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008 | 12 | 2008 |
Region growing: When simplicity meets theory–region growing revisited in feature space and variational framework C Revol-Muller, T Grenier, JL Rose, A Pacureanu, F Peyrin, C Odet Computer Vision, Imaging and Computer Graphics. Theory and Application: 7th …, 2013 | 9 | 2013 |
Non-parametric synthesis of volumetric textures from a 2D sample RD Urs Université Sciences et Technologies-Bordeaux I, 2013 | 8 | 2013 |
Multiparametric smoothing based on mean shift procedure for ultrasound data segmentation T Grenier, C Revol-Muller, F Davignon, O Basset, G Gimenez 2005 13th European Signal Processing Conference, 1-4, 2005 | 8 | 2005 |
Segmentation of 3D cellular networks from SR-micro-CT images A Pacureanu, J Rollet, C Revol-Muller, V Buzuloiu, M Langer, F Peyrin 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011 | 7 | 2011 |
Variable bandwidth mean shift for smoothing ultrasonic images T Grenier, C Revol-Muller, F Davignon, O Basset, G Gimenez 2005 13th European Signal Processing Conference, 1-4, 2005 | 6 | 2005 |