| An iterative segmentation method based on a contextual color and shape criterion JM Chassery, C Garbay IEEE Transactions on Pattern Analysis and Machine Intelligence, 794-800, 1984 | 148 | 1984 |
| Multimodal MRI segmentation of ischemic stroke lesions Y Kabir, M Dojat, B Scherrer, F Forbes, C Garbay 2007 29th annual international conference of the IEEE engineering in …, 2007 | 123 | 2007 |
| Image structure representation and processing: a discussion of some segmentation methods in cytology C Garbay IEEE Transactions on Pattern Analysis and Machine Intelligence, 140-146, 1986 | 114 | 1986 |
| A double scanning microphotometer for image analysis: hardware, software and biomedical applications. G Brugal, C Garbay, F Giroud, D Adelh Journal of Histochemistry & Cytochemistry 27 (1), 144-152, 1979 | 108 | 1979 |
| Distributed local MRF models for tissue and structure brain segmentation B Scherrer, F Forbes, C Garbay, M Dojat IEEE Transactions on Medical Imaging 28 (8), 1278-1295, 2009 | 92 | 2009 |
| Automated segmentation of human brain MR images using a multi-agent approach N Richard, M Dojat, C Garbay Artificial Intelligence in Medicine 30 (2), 153-176, 2004 | 89 | 2004 |
| A cooperative framework for segmentation of MRI brain scans L Germond, M Dojat, C Taylor, C Garbay Artificial Intelligence in Medicine 20 (1), 77-93, 2000 | 81 | 2000 |
| Learning recurrent behaviors from heterogeneous multivariate time-series F Duchêne, C Garbay, V Rialle Artificial intelligence in medicine 39 (1), 25-47, 2007 | 67 | 2007 |
| Knowledge construction from time series data using a collaborative exploration system T Guyet, C Garbay, M Dojat Journal of biomedical informatics 40 (6), 672-687, 2007 | 62 | 2007 |
| Distributed Markovian segmentation: Application to MR brain scans N Richard, M Dojat, C Garbay Pattern Recognition 40 (12), 3467-3480, 2007 | 51 | 2007 |
| Software agents in health care A Moreno, C Garbay Artificial Intelligence in Medicine 27 (3), 229-232, 2003 | 51 | 2003 |
| An iterative region-growing process for cell image segmentation based on local color similarity and global shape criteria. C Garbay, JM Chassery, G Brugal Analytical and quantitative cytology and histology 8 (1), 25-34, 1986 | 45 | 1986 |
| Application of colored image analysis to bone marrow cell recognition. C Garbay, G Brugal, C Choquet Analytical and quantitative cytology 3 (4), 272-280, 1981 | 44 | 1981 |
| Multi‐level temporal abstraction for medical scenario construction AS Silvent, M Dojat, C Garbay International Journal of Adaptive Control and Signal Processing 19 (5), 377-394, 2005 | 36 | 2005 |
| Simulation and virtual reality-based learning of non-technical skills in driving: critical situations, diagnostic and adaptation JM Burkhardt, V Corneloup, C Garbay, Y Bourrier, F Jambon, V Luengo, ... IFAC-PapersOnLine 49 (32), 66-71, 2016 | 35 | 2016 |
| Evaluation of edge detectors: Critics and proposal M Salotti, F Bellet, C Garbay Proceed of the ECCV Workshop on Performance Characteristics of Vision …, 1996 | 35 | 1996 |
| Une approche opportuniste et coopérative pour la vision de bas niveau F Bellet, M Salotti, C Garbay Traitement du signal 12 (5), 479-494, 1995 | 32 | 1995 |
| A society of goal-oriented agents for the analysis of living cells A Boucher, A Doisy, X Ronot, C Garbay Artificial Intelligence in Medicine 14 (1-2), 183-199, 1998 | 31 | 1998 |
| Fusion de données multicapteurs pour un système de télésurveillance médicale de personnes à domicile F Duchêne Université Joseph-Fourier-Grenoble I, 2004 | 29 | 2004 |
| Artificial Intelligence in Medicine: 6th Conference in Artificial Intelligence in Medicine, Europe, AIME'97, Grenoble, France, March 23-26, 1997, Proceedings E Keravnou, E Keravnou-Papailiou Springer Science & Business Media, 1997 | 28 | 1997 |
