Desvignes, M.
* 2000: 3d Curves Tracking and Its Application to Cortical Sulci Detection
* 2000: Accurate Detection of 3d Tubular Tree Structures
* 2000: First Steps Toward Automatic Location of Landmarks on X-ray Images
* 2001: Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images
* 2001: Augmented Reality and Semi-automated Landmarking of Cephalometric Radiographs
* 2002: Linear and non-linear model for statistical localization of landmarks
* 2004: 3D Meshes Registration: Application to Statistical Skull Model
* 2004: Automated camera dysfunctions detection
* 2004: Contour tracking by minimal cost path approach. application to cephalometry
* 2004: Partially observed objects localization with PCA and KPCA models
* 2004: Shape variability and spatial relationships modeling in statistical pattern recognition
* 2006: Human Model for Detecting People in Video from Low Level Features, A
* 2006: Human model for people detection in dynamic scenes
* 2009: Motion blur adaptive identification from natural image model
* 2011: Efficient multi-object segmentation of 3D medical images using clustering and graph cuts
* 2012: Hemoglobin and Melanin Quantification on Skin Images
* 2012: Quantification of pigmentation in human skin images
* 2012: Raindrops size from video and image processing
* 2013: Shortest-Path Constraints for 3D Multiobject Semiautomatic Segmentation Via Clustering and Graph Cut
* 2014: Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases
* 2014: Graph-based skin lesion segmentation of multispectral dermoscopic images
* 2014: Image denoising using contextual modeling of curvelet coefficients
* 2014: New data model for graph-cut segmentation: Application to automatic melanoma delineation
* 2015: Curvelet Based Contrast Enhancement in Fluoroscopic Sequences
* 2015: Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering
* 2015: Myocardium segmentation on 3D spect images
* 2016: Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis
* 2016: Joint Segmentation of Myocardium on Rest and Stress Spect Images
* 2016: Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence
* 2018: Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut
* 2018: Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging, A
* 2018: Robust Unmixing of Dynamic Sequences Using Regions of Interest
Includes: Desvignes, M. Desvignes, M.[Michel]
32 for Desvignes, M.