| Tubular structure segmentation based on minimal path method and anisotropic enhancement F Benmansour, LD Cohen International Journal of Computer Vision 92 (2), 192-210, 2011 | 203 | 2011 |
| Automated reconstruction of tree structures using path classifiers and mixed integer programming E Türetken, F Benmansour, P Fua 2012 IEEE conference on computer vision and pattern recognition, 566-573, 2012 | 91 | 2012 |
| Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading K Hameeteman, MA Zuluaga, M Freiman, L Joskowicz, O Cuisenaire, ... Medical image analysis 15 (4), 477-488, 2011 | 89 | 2011 |
| Reconstructing loopy curvilinear structures using integer programming E Turetken, F Benmansour, B Andres, H Pfister, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 82 | 2013 |
| Fast object segmentation by growing minimal paths from a single point on 2D or 3D images F Benmansour, LD Cohen Journal of Mathematical Imaging and Vision 33 (2), 209-221, 2009 | 76 | 2009 |
| Deep learning algorithm predicts diabetic retinopathy progression in individual patients F Arcadu, F Benmansour, A Maunz, J Willis, Z Haskova, M Prunotto NPJ digital medicine 2 (1), 1-9, 2019 | 57 | 2019 |
| Reconstructing curvilinear networks using path classifiers and integer programming E Türetken, F Benmansour, B Andres, P Głowacki, H Pfister, P Fua IEEE transactions on pattern analysis and machine intelligence 38 (12), 2515 …, 2016 | 46 | 2016 |
| Derivatives with respect to metrics and applications: Subgradient Marching Algorithm F Benmansour, G Carlier, G Peyré, F Santambrogio Numerische Mathematik 116 (3), 357-381, 2010 | 38 | 2010 |
| Detecting irregular curvilinear structures in gray scale and color imagery using multi-directional oriented flux E Turetken, C Becker, P Glowacki, F Benmansour, P Fua Proceedings of the IEEE International Conference on Computer Vision, 1553-1560, 2013 | 36 | 2013 |
| Deep learning predicts OCT measures of diabetic macular thickening from color fundus photographs F Arcadu, F Benmansour, A Maunz, J Michon, Z Haskova, D McClintock, ... Investigative ophthalmology & visual science 60 (4), 852-857, 2019 | 29 | 2019 |
| Numerical approximation of continuous traffic congestion equilibria F Benmansour, G Carlier, G Peyré, F Santambrogio | 28 | 2009 |
| A new interactive method for coronary arteries segmentation based on tubular anisotropy F Benmansour, LD Cohen 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 25 | 2009 |
| Tubular anisotropy for 2D vessel segmentation F Benmansour, LD Cohen, M Law, A Chung Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 25 | 2009 |
| Machine learning-powered antibiotics phenotypic drug discovery S Zoffmann, M Vercruysse, F Benmansour, A Maunz, L Wolf, RB Marti, ... Scientific reports 9 (1), 1-14, 2019 | 17 | 2019 |
| Molecular phenotyping combines molecular information, biological relevance, and patient data to improve productivity of early drug discovery FM Drawnel, JD Zhang, E Küng, N Aoyama, F Benmansour, ... Cell Chemical Biology 24 (5), 624-634. e3, 2017 | 17 | 2017 |
| Tubular geodesics using oriented flux: An ITK implementation F Benmansour, E Türetken, P Fua Insight Journal, 2013 | 16 | 2013 |
| Inhibition of EGF uptake by nephrotoxic antisense drugs in vitro and implications for preclinical safety profiling A Moisan, M Gubler, JD Zhang, Y Tessier, KD Erichsen, S Sewing, ... Molecular Therapy-Nucleic Acids 6, 89-105, 2017 | 13 | 2017 |
| Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling L Fusco, R Lefort, K Smith, F Benmansour, G Gonzalez, C Barillari, B Rinn, ... Journal of cell biology 212 (1), 91-111, 2016 | 11 | 2016 |
| On the relevance of sparsity for image classification R Rigamonti, V Lepetit, G González, E Türetken, F Benmansour, M Brown, ... Computer Vision and Image Understanding 125, 115-127, 2014 | 11 | 2014 |
| Tubular anisotropy segmentation F Benmansour, L Cohen Scale Space and Variational Methods in Computer Vision, 14-25, 2009 | 9 | 2009 |
Laurent D. CohenPr, Directeur de RechercheVerified email at ceremade.dauphine.fr
