Daniel Bloyet

发表

Segmentation based on information fusion applied to brain tissue on MRI

Jean-Marc Constans, Weibei Dou, Su Ruan, 2004, IS&T/SPIE Electronic Imaging.

Fuzzy Information Fusion Scheme Used to Segment Brain Tumor from MR Images

Jean-Marc Constans, Weibei Dou, Qingmin Liao, 2003, WILF.

Timing uncertainties of A/D converters: theoretical study and experiments

Daniel Bloyet, Jean-Marie Janik, D. Bloyet, 2004, IEEE Transactions on Instrumentation and Measurement.

Mathematical morphology and active contours for object extraction and localization in medical images

Abderrahim Elmoataz, Daniel Bloyet, Sophie Schüpp, 1997 .

Detection of Brain Activation from MRI Data by Likelihood-Ratio Test

Jean-Marc Constans, Su Ruan, Daniel Bloyet, 1995, CVRMed.

Phantom based segmentation assessment for MRI images

Su Ruan, Daniel Bloyet, Bernard Mazoyer, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Possibilistic-clustering-based MR brain image segmentation with accurate initialization

Weibei Dou, Qingmin Liao, Su Ruan, 2004, IS&T/SPIE Electronic Imaging.

Fuzzy Information Fusion Scheme Used to Segment Brain Tumor from Magnetic Resonance Images

Weibei Dou, Qingmin Liao, Yanping Chen, 2006 .

Low-frequency noise in single-poly bipolar transistors at low base current density

Daniel Bloyet, Jean-Marc Routoure, Serge Bardy, 2001, Microelectron. Reliab..

An object-oriented approach for quantitative interpretation of multimodal images

Daniel Bloyet, Jean-Marcel Travere, Pascal Allain, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Segmentation of magnetic resonance images using fuzzy Markov random fields

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

PDE Based image segmentation for biomedical applications

Abderrahim Elmoataz, Daniel Bloyet, Jalal M. Fadili, 2001 .

Cerebral magnetic resonance image segmentation using fuzzy Markov Random Fields

Marinette Revenu, Weibei Dou, Qingmin Liao, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Unsupervised segmentation of three-dimensional brain images

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Histogram-Based Generation Method of Membership Function for Extracting Features of Brain Tissues on MRI Images

Jean-Marc Constans, Weibei Dou, Su Ruan, 2005, FSKD.

Brain tissue classification in MR images based on a 3D MRF model

Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models

Barbara Romaniuk, Su Ruan, Daniel Bloyet, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2001, Medical Image Anal..

Brain Structure Classification In MRI Images

Marinette Revenu, Daniel Bloyet, Jing-Hao Xue, 2000 .

3D brain structures extraction using fully automated MRI segmentation

Daniel Bloyet, Pascal Allain, Su Ruan, 1995 .

Fast and Simple Discrete Approach for Active Contours for Biomedical Applications

Abderrahim Elmoataz, Daniel Bloyet, Sophie Schüpp, 2001, Int. J. Pattern Recognit. Artif. Intell..

Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2002, Comput. Vis. Image Underst..

Using active contours and mathematical morphology tools for quantification of immunohistochemical images

Abderrahim Elmoataz, Daniel Bloyet, Sophie Schüpp, 1998, Signal Process..

Unsupervised fuzzy clustering analysis of fMRI series

Knowledge-based segmentation and labeling of brain structures from MRI images

Marinette Revenu, Su Ruan, Daniel Bloyet, 2001, Pattern Recognit. Lett..

Fuzzy kappa for the agreement measure of fuzzy classifications

Jean-Marc Constans, Weibei Dou, Qian Wu, 2007, Neurocomputing.

Fast Statistical Level Sets Image Segmentation for Biomedical Applications

Mohamed-Jalal Fadili, Abderrahim Elmoataz, Daniel Bloyet, 2001, Scale-Space.

Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2000, Medical Image Anal..

Size effects on the DC characteristics and low frequency noise of double polysilicon NPN bipolar transistors

Daniel Bloyet, Jean-Marc Routoure, Serge Bardy, 2005, Microelectron. Reliab..

Brain tissue classification of magnetic resonance images using partial volume modeling

Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, 2000, IEEE Transactions on Medical Imaging.

Image segmentation via multiple active contour models and fuzzy clustering with biomedical applications

Mohamed-Jalal Fadili, Abderrahim Elmoataz, Daniel Bloyet, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Automatic brain tumor extraction using fuzzy information fusion

Jean-Marc Constans, Weibei Dou, Qingmin Liao, 2002, Other Conferences.

Measurement of timing jitter contributions in a dynamic test setup for A/D converters

Daniel Bloyet, Jean-Marie Janik, Benoît Guyot, 2001, IEEE Trans. Instrum. Meas..

Are sampling and hierarchical segmentation future tools for automated quantitative immunochemistry in oncology

Marinette Revenu, Daniel Bloyet, Sophie Schüpp, 1997 .

A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images

Jean-Marc Constans, Weibei Dou, Su Ruan, 2007, Image Vis. Comput..

Brain tissue classification based on a mixel model and Markov random field models

Daniel Bloyet, Jing-Hao Xue, Jalal M. Fadili, 2000 .

Knowledge based fuzzy information fusion applied to classification of abnormal brain tissues from MRI

Jean-Marc Constans, Weibei Dou, Qingmin Liao, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Automatic Statistical Shape Model Building from A Priori Information

Su Ruan, Daniel Bloyet, Jonathan Bailleul, 2002 .

Bayesian denoising in the wavelet-domain using an analytical approximate /spl alpha/-stable prior

Mohamed-Jalal Fadili, Daniel Bloyet, Larbi Boubchir, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Entirely automatic 3D MR brain analysis as a step in multimodal processing

Daniel Bloyet, Jean-Marcel Travere, Pascal Allain, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated Segmentation of Cytological and Histological Images for the Nuclear Quantification: an Adaptive Approach based on Mathematical Morphology

Marinette Revenu, Abderrahim Elmoataz, Daniel Bloyet, 1996 .

Fuzzy modeling of knowledge for MRI brain structure segmentation

Marinette Revenu, Wilfried Philips, Su Ruan, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

3D MRI segmentation of brain structures

Daniel Bloyet, Jalal M. Fadili, Su Ruan, 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic atlas-based building of point distribution model for segmentation of anatomical structures from brain MRI

Su Ruan, Daniel Bloyet, Jonathan Bailleul, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Approche markovienne pour la segmentation 3D des tissus cérébraux en IRM

Daniel Bloyet, D. Bloyet, C. Jaggi, 1997 .