| Learning from crowds. VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy Journal of machine learning research 11 (4), 2010 | 1695 | 2010 |
| Variational methods for multimodal image matching G Hermosillo, C Chefd'Hotel, O Faugeras International Journal of Computer Vision 50 (3), 329-343, 2002 | 576 | 2002 |
| Supervised learning from multiple experts: whom to trust when everyone lies a bit VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ... Proceedings of the 26th Annual international conference on machine learning …, 2009 | 446 | 2009 |
| Modeling annotator expertise: Learning when everybody knows a bit of something Y Yan, R Rosales, G Fung, M Schmidt, G Hermosillo, L Bogoni, L Moy, ... Proceedings of the thirteenth international conference on artificial …, 2010 | 255 | 2010 |
| Flows of diffeomorphisms for multimodal image registration C Chefd'Hotel, G Hermosillo, O Faugeras Proceedings IEEE International Symposium on Biomedical Imaging, 753-756, 2002 | 238 | 2002 |
| Whole-body PET/MR imaging: quantitative evaluation of a novel model-based MR attenuation correction method including bone DH Paulus, HH Quick, C Geppert, M Fenchel, Y Zhan, G Hermosillo, ... Journal of Nuclear Medicine 56 (7), 1061-1066, 2015 | 184 | 2015 |
| A variational approach to multi-modal image matching C Chefd'Hotel, G Hermosillo, O Faugeras Proceedings IEEE workshop on variational and level set methods in computer …, 2001 | 121 | 2001 |
| Systems and methods for viewing and analyzing anatomical structures A Krishnan, M Salganicoff, XS Zhou, VR Ramamurthy, L Bogoni, ... US Patent 9,020,235, 2015 | 104 | 2015 |
| Dixon sequence with superimposed model-based bone compartment provides highly accurate PET/MR attenuation correction of the brain T Koesters, KP Friedman, M Fenchel, Y Zhan, G Hermosillo, J Babb, ... Journal of Nuclear Medicine 57 (6), 918-924, 2016 | 100 | 2016 |
| Enhanced visualization of medical image data L Bogoni, GH Valadez, M Wolf US Patent 9,401,047, 2016 | 68 | 2016 |
| The inverse EEG and MEG problems: The adjoint state approach I: The continuous case O Faugeras, F Clément, R Deriche, R Keriven, T Papadopoulo, J Roberts, ... INRIA, 1999 | 66 | 1999 |
| Variational stereovision and 3D scene flow estimation with statistical similarity measures Pons, Keriven, Faugeras, Hermosillo Proceedings Ninth IEEE International Conference on Computer Vision, 597-602 …, 2003 | 64 | 2003 |
| A variational approach to multi-modal image matching G Hermosillo, C Chefd'Hotel, O Faugeras INRIA, 2001 | 49 | 2001 |
| Variational, geometric, and statistical methods for modeling brain anatomy and function O Faugeras, G Adde, G Charpiat, C Chefd'Hotel, M Clerc, T Deneux, ... NeuroImage 23, S46-S55, 2004 | 48 | 2004 |
| Dense image matching with global and local statistical criteria: a variational approach G Hermosillo, O Faugeras Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 47 | 2001 |
| Unfolding the cerebral cortex using level set methods G Hermosillo, O Faugeras, J Gomes International Conference on Scale-Space Theories in Computer Vision, 58-69, 1999 | 45 | 1999 |
| How to deal with point correspondences and tangential velocities in the level set framework Pons, Hermosillo, Keriven, Faugeras Proceedings Ninth IEEE International Conference on Computer Vision, 894-899 …, 2003 | 42 | 2003 |
| Maintaining the point correspondence in the level set framework JP Pons, G Hermosillo, R Keriven, O Faugeras Journal of Computational Physics 220 (1), 339-354, 2006 | 38 | 2006 |
| Well-posedness of two nonrigid multimodal image registration methods G Hermosillo, O Faugeras SIAM Journal on Applied Mathematics 64 (5), 1550-1587, 2004 | 36 | 2004 |
| Variational methods for multimodal image matching GH Valadez Université Nice Sophia Antipolis, 2002 | 31 | 2002 |
Olivier FaugerasEmeritus Researcher, Inria. Editor in Chief, Mathematical Neuroscience andVerified email at inria.fr
