| Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017 | 3365 | 2017 |
| Gland segmentation in colon histology images: The glas challenge contest K Sirinukunwattana, JPW Pluim, H Chen, X Qi, PA Heng, YB Guo, ... Medical image analysis 35, 489-502, 2017 | 896 | 2017 |
| Methods for nuclei detection, segmentation, and classification in digital histopathology: a review—current status and future potential H Irshad, A Veillard, L Roux, D Racoceanu IEEE reviews in biomedical engineering 7, 97-114, 2013 | 816 | 2013 |
| 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 | 371 | 2013 |
| Deep learning in the biomedical applications: Recent and future status R Zemouri, N Zerhouni, D Racoceanu Applied Sciences 9 (8), 1526, 2019 | 232 | 2019 |
| Efficient deep learning model for mitosis detection using breast histopathology images M Saha, C Chakraborty, D Racoceanu Computerized Medical Imaging and Graphics 64, 29-40, 2018 | 227 | 2018 |
| Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography A Depeursinge, D Racoceanu, J Iavindrasana, G Cohen, A Platon, ... Artificial intelligence in medicine 50 (1), 13-21, 2010 | 210 | 2010 |
| Recurrent radial basis function network for time-series prediction R Zemouri, D Racoceanu, N Zerhouni Engineering Applications of Artificial Intelligence 16 (5-6), 453-463, 2003 | 177 | 2003 |
| Automatic breast cancer grading of histopathological images JR Dalle, WK Leow, D Racoceanu, AE Tutac, TC Putti 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 135 | 2008 |
| Contribution à la surveillance des systèmes de production à l'aide des réseaux de neurones dynamiques: Application à la e-maintenance R Zemouri Université de Franche-Comté, 2003 | 117 | 2003 |
| Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach H Irshad, S Jalali, L Roux, D Racoceanu, LJ Hwee, G Le Naour, F Capron Journal of pathology informatics 4 (2), 12, 2013 | 116 | 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 | 103 | 2011 |
| Nuclear pleomorphism scoring by selective cell nuclei detection. JR Dalle, H Li, CH Huang, WK Leow, D Racoceanu, TC Putti WACV, 2009 | 89 | 2009 |
| Best practice recommendations for the implementation of a digital pathology workflow in the anatomic pathology laboratory by the European Society of Digital and Integrative … F Fraggetta, V L’imperio, D Ameisen, R Carvalho, S Leh, TR Kiehl, ... Diagnostics 11 (11), 2167, 2021 | 85 | 2021 |
| Deep learning for semantic segmentation vs. classification in computational pathology: application to mitosis analysis in breast cancer grading G Jiménez, D Racoceanu Frontiers in bioengineering and biotechnology 7, 145, 2019 | 79 | 2019 |
| Perceived age and life style. The specific contributions of seven factors involved in health and beauty VG Clatici, D Racoceanu, C Dalle, C Voicu, L Tomas-Aragones, ... Maedica 12 (3), 191, 2017 | 67 | 2017 |
| Knowledge-guided semantic indexing of breast cancer histopathology images AE Tutac, D Racoceanu, T Putti, W Xiong, WK Leow, V Cretu 2008 international conference on biomedical engineering and informatics 2 …, 2008 | 67 | 2008 |
| New trends to support independence in persons with mild dementia–a mini-review M Mokhtari, H Aloulou, T Tiberghien, J Biswas, D Racoceanu, P Yap Gerontology 58 (6), 554-563, 2012 | 63 | 2012 |
| Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology H Irshad, A Gouaillard, L Roux, D Racoceanu Computerized Medical Imaging and Graphics 38 (5), 390-402, 2014 | 47 | 2014 |
| Mitos & atypia L Roux, D Racoceanu, F Capron, J Calvo, E Attieh, G Le Naour, ... Image Pervasive Access Lab (IPAL), Agency Sci., Technol. & Res. Inst …, 2014 | 47 | 2014 |
Ludovic RouxIPAL Lab, University Joseph Fourier, Grenoble 1Preverjeni e-poštni naslov na ipal.cnrs.fr