Mikaël Rousson

发表

A statistical framework for DTI segmentation

Rachid Deriche, Christophe Lenglet, Mikaël Rousson, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

GPU histogram computation

Daniel Cremers, Mikaël Rousson, Oliver Fluck, 2006, SIGGRAPH '06.

Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation

Rachid Deriche, Christophe Lenglet, Mikaël Rousson, 2004, ECCV Workshops CVAMIA and MMBIA.

Gamma -Convergence Approximation to Piecewise Smooth Medical Image Segmentation

Chenyang Xu, Mikaël Rousson, Jungha An, 2007, MICCAI.

Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images

Rachid Deriche, Christophe Lenglet, Mikaël Rousson, 2006, Handbook of Mathematical Models in Computer Vision.

Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images

Ali Kamen, Frank Sauer, Mikaël Rousson, 2005, CVBIA.

Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge

Karl Rohr, Matheus Palhares Viana, Mitko Veta, 2018, Medical Image Anal..

Prior Knowledge, Level Set Representations & Visual Grouping

Nikos Paragios, Mikaël Rousson, N. Paragios, 2008, International Journal of Computer Vision.

Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing

Rachid Deriche, Olivier D. Faugeras, Christophe Lenglet, 2006, Journal of Mathematical Imaging and Vision.

Cue Integration and Front Evolution in Image Segmentation. (Intégration d'attributs et évolutions de fronts en segmentation d'images)

Mikaël Rousson, M. Rousson, Mikaël Rousson, 2004 .

Knowledge-based registration & segmentation of the left ventricle: a level set approach

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

Unsupervised Segmentation Incorporating Colour, Texture, and Motion

Rachid Deriche, Thomas Brox, Joachim Weickert, 2003, CAIP.

Tumor proliferation assessment of whole slide images

Mats Andersson, Manfredo Atzori, Henning Müller, 2018, Medical Imaging.

Shape Priors for Level Set Representations

Nikos Paragios, Mikaël Rousson, N. Paragios, 2002, ECCV.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Colour, Texture, and Motion in Level Set Based Segmentation and Tracking Colour, Texture, and Motion in Level Set Based Segmentation and Tracking

Rachid Deriche, Thomas Brox, Joachim Weickert, 2022 .

A Riemannian Approach to Diffusion Tensor Images Segmentation

Rachid Deriche, Olivier D. Faugeras, Christophe Lenglet, 2005, IPMI.

A General Framework for Image Segmentation Using Ordered Spatial Dependency

Chenyang Xu, Mikaël Rousson, M. Rousson, 2006, MICCAI.

4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences

Daniel Cremers, Timo Kohlberger, Gareth Funka-Lea, 2006, MICCAI.

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

Martin Styner, Jacob D. Furst, Thomas Lange, 2009, IEEE Transactions on Medical Imaging.

Probabilistic minimal path for automated esophagus segmentation

Ying Bai, Frank Sauer, Chenyang Xu, 2006, SPIE Medical Imaging.

Non-rigid registration using distance functions

Nikos Paragios, Visvanathan Ramesh, Mikaël Rousson, 2003, Comput. Vis. Image Underst..

Efficient Segmentation of Piecewise Smooth Images

Théodore Papadopoulo, Mikaël Rousson, Jérome Piovano, 2007, SSVM.

Hierarchical Detection of Multiple Organs Using Boosted Features

Samuel Hugueny, Mikaël Rousson, 2007, CAIP.

Region-Based Segmentation via Non-Rigid Template Matching

Farida Cheriet, Christophe Chefd'Hotel, Mikaël Rousson, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Active unsupervised texture segmentation on a diffusion based feature space

Rachid Deriche, Thomas Brox, Mikaël Rousson, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

DTI segmentation by statistical surface evolution

Rachid Deriche, Christophe Lenglet, Mikaël Rousson, 2006, IEEE Transactions on Medical Imaging.

A probabilistic level set formulation for interactive organ segmentation

Daniel Cremers, Mikaël Rousson, Oliver Fluck, 2007, SPIE Medical Imaging.

Implicit Active Shape Models for 3D Segmentation in MR Imaging

Rachid Deriche, Nikos Paragios, Mikaël Rousson, 2004, MICCAI.

Tensor Processing for Texture and Colour Segmentation

Rachid Deriche, Carlos Alberola-López, Mikaël Rousson, 2005, SCIA.

Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation

Daniel Cremers, Mikaël Rousson, D. Cremers, 2005, MICCAI.

Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI

Rachid Deriche, Christophe Lenglet, Mikaël Rousson, 2004, MICCAI.