Mikaël Rousson

发表

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

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

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

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

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 Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape

Rachid Deriche, Daniel Cremers, Mikael Rousson, 2007, 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.

Chapter 10 – Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning

Manfredo Atzori, Henning Müller, Oscar Jimenez-del-Toro, 2017 .

A statistical framework for DTI segmentation

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

A Riemannian Approach to Diffusion Tensor Images Segmentation

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

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 .

Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images

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

DTI segmentation by statistical surface evolution

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

Statistics on Multivariate Normal Distributions: A Geometric Approach and its Application to Diffusion Tensor MRI

O. Faugeras, R. Deriche, M. Rousson, 2004 .

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

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

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..

Shape Priors for Level Set Representations

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

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

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

Adaptive Segmentation of Vector Valued Images

Rachid Deriche, Mikael Rousson, R. Deriche, 2003 .

Non-rigid registration using distance functions

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

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..

On the Representation of Shapes Using Implicit Functions

Nikos Paragios, Dimitris N. Metaxas, Xiaolei Huang, 2006, Statistics and Analysis of Shapes.

A variational framework for active and adaptative segmentation of vector valued images

R. Deriche, M. Rousson, Mikaël Rousson, 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

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

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