| Mitosis detection in breast cancer histological images An ICPR 2012 contest R Ludovic, R Daniel, L Nicolas, K Maria, I Humayun, K Jacques, ... Journal of pathology informatics 4 (1), 8, 2013 | 369 | 2013 |
| Time-efficient sparse analysis of histopathological whole slide images CH Huang, A Veillard, L Roux, N Loménie, D Racoceanu Computerized medical imaging and graphics 35 (7-8), 579-591, 2011 | 100 | 2011 |
| Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology Q Zeng, C Klein, S Caruso, P Maille, NG Laleh, D Sommacale, A Laurent, ... Journal of Hepatology 77 (1), 116-127, 2022 | 60 | 2022 |
| Automatic bridge detection in high-resolution satellite images R Trias-Sanz, N Loménie International Conference on Computer Vision Systems, 172-181, 2003 | 48 | 2003 |
| Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis N Loménie, D Racoceanu Pattern Recognition 45 (8), 2894-2911, 2012 | 46 | 2012 |
| Integrating textural and geometric information for an automatic bridge detection system N Loménie, J Barbeau, R Trias-Sanz IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium …, 2003 | 41 | 2003 |
| Morphological mesh filtering and α-objects N Loménie, G Stamon Pattern Recognition Letters 29 (10), 1571-1579, 2008 | 33 | 2008 |
| Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab–bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study Q Zeng, C Klein, S Caruso, P Maille, DS Allende, B Mínguez, M Iavarone, ... The Lancet Oncology 24 (12), 1411-1422, 2023 | 27 | 2023 |
| Artificial intelligence for solid tumour diagnosis in digital pathology C Klein, Q Zeng, F Arbaretaz, E Devêvre, J Calderaro, N Lomenie, ... British Journal of Pharmacology 178 (21), 4291-4315, 2021 | 24 | 2021 |
| A generic methodology for partitioning unorganised 3D point clouds for robotic vision N Loménie First Canadian Conference on Computer and Robot Vision, 2004. Proceedings …, 2004 | 21 | 2004 |
| A novel computer-aided tree species identification method based on burst wind segmentation of 3d bark textures AA Othmani, C Jiang, N Lomenie, JM Favreau, A Piboule, LFCLY Voon Machine Vision and Applications 27, 751-766, 2016 | 20 | 2016 |
| A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology L Roux, A Tutac, N Loménie, D Balensi, D Racoceanu, A Veillard, ... 2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009 | 19 | 2009 |
| Tree species classification based on 3D bark texture analysis A Othmani, A Piboule, O Dalmau, N Lomenie, S Mokrani, LFCLY Voon Image and Video Technology: 6th Pacific-Rim Symposium, PSIVT 2013 …, 2014 | 17 | 2014 |
| An exploration scheme for large images: application to breast cancer grading A Veillard, N Loménie, D Racoceanu 2010 20th International Conference on Pattern Recognition, 3472-3475, 2010 | 17 | 2010 |
| Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma J Calderaro, N Ghaffari Laleh, Q Zeng, P Maille, L Favre, A Pujals, C Klein, ... Nature communications 14 (1), 8290, 2023 | 16 | 2023 |
| How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images? G Erus, N Loménie Pattern Recognition Letters 31 (10), 1109-1119, 2010 | 15 | 2010 |
| Morphological operations on Delaunay triangulations N Loménie, L Gallo, N Cambou, G Stamon Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000 | 15 | 2000 |
| Using textural and geometric information for an automatic bridge detection system R Trias-Sanz, N Loménie, J Barbeau ACIVS'04, 325-332, 2004 | 13 | 2004 |
| Ontology-driven image analysis for histopathological images A Othmani, C Meziat, N Loménie International Symposium on Visual Computing, 1-12, 2010 | 12 | 2010 |
| Region-based segmentation on depth images from a 3D reference surface for tree species recognition A Othmani, N Lomenie, A Piboule, C Stolz, LFCLY Voon 2013 IEEE International Conference on Image Processing, 3399-3402, 2013 | 9 | 2013 |
Daniel RACOCEANUSorbonne University, Paris Brain Institute (ICM), Inria team "Aramis"Verified email at sorbonne-universite.fr
