Mikaël Rousson

According to our database, Mikaël Rousson authored at least 35 papers between 2002 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

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

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim

Medical Image Anal., 2019

2018

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.

Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 2018

Tumor proliferation assessment of whole slide images.

Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2010

Colour, texture, and motion in level set based segmentation and tracking.

Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert

Image Vis. Comput., 2010

2009

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets.

Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf

IEEE Trans. Medical Imaging, 2009

2008

Prior Knowledge, Level Set Representations & Visual Grouping.

Mikaël Rousson, Nikos Paragios

Int. J. Comput. Vis., 2008

2007

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

Daniel Cremers, Mikaël Rousson, Rachid Deriche

Int. J. Comput. Vis., 2007

Efficient Segmentation of Piecewise Smooth Images.

Jérome Piovano, Mikaël Rousson, Théodore Papadopoulo

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

A probabilistic level set formulation for interactive organ segmentation.

Daniel Cremers, Oliver Fluck, Mikaël Rousson, Shmuel Aharon

Proceedings of the Medical Imaging 2007: Image Processing, 2007

<i>Gamma</i> -Convergence Approximation to Piecewise Smooth Medical Image Segmentation.

Jungha An, Mikaël Rousson, Chenyang Xu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Region-Based Segmentation via Non-Rigid Template Matching.

Kinda Anna Saddi, Christophe Chefd'Hotel, Mikaël Rousson, Farida Cheriet

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Hierarchical Detection of Multiple Organs Using Boosted Features.

Samuel Hugueny, Mikaël Rousson

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006

DTI segmentation by statistical surface evolution.

Christophe Lenglet, Mikaël Rousson, Rachid Deriche

IEEE Trans. Medical Imaging, 2006

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

Christophe Lenglet, Mikaël Rousson, Rachid Deriche, Olivier D. Faugeras

J. Math. Imaging Vis., 2006

GPU histogram computation.

Oliver Fluck, Shmuel Aharon, Daniel Cremers, Mikaël Rousson

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Probabilistic minimal path for automated esophagus segmentation.

Mikaël Rousson, Ying Bai, Chenyang Xu, Frank Sauer

Proceedings of the Medical Imaging 2006: Image Processing, 2006

A General Framework for Image Segmentation Using Ordered Spatial Dependency.

Mikaël Rousson, Chenyang Xu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

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

Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A statistical framework for DTI segmentation.

Christophe Lenglet, Mikaël Rousson, Rachid Deriche

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

On the Representation of Shapes Using Implicit Functions.

Nikos Paragios, Maxime Taron, Xiaolei Huang, Mikaël Rousson, Dimitris N. Metaxas

Proceedings of the Statistics and Analysis of Shapes, 2006

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

Rachid Deriche, D. Tschumpelé, Christophe Lenglet, Mikaël Rousson

Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005

Tensor Processing for Texture and Colour Segmentation.

Rodrigo de Luis García, Rachid Deriche, Mikaël Rousson, Carlos Alberola-López

Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

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

Mikaël Rousson, Daniel Cremers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

A Riemannian Approach to Diffusion Tensor Images Segmentation.

Christophe Lenglet, Mikaël Rousson, Rachid Deriche, Olivier D. Faugeras, Stéphane Lehéricy, Kâmil Ugurbil

Proceedings of the Information Processing in Medical Imaging, 2005

Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images.

Mikaël Rousson, Ali Khamene, Mamadou Diallo, Juan Carlos Celi, Frank Sauer

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004

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

Mikaël Rousson

PhD thesis, 2004

Implicit Active Shape Models for 3D Segmentation in MR Imaging.

Mikaël Rousson, Nikos Paragios, Rachid Deriche

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

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

Christophe Lenglet, Mikaël Rousson, Rachid Deriche

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

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

Mikaël Rousson, Christophe Lenglet, Rachid Deriche

Proceedings of the Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, 2004

2003

Non-rigid registration using distance functions.

Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh

Comput. Vis. Image Underst., 2003

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space.

Mikaël Rousson, Thomas Brox, Rachid Deriche

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Unsupervised Segmentation Incorporating Colour, Texture, and Motion.

Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert

Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002

Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach.

Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh

Proceedings of the 6th IEEE Workshop on Applications of Computer Vision (WACV 2002), 2002

Shape Priors for Level Set Representations.

Mikaël Rousson, Nikos Paragios

Proceedings of the Computer Vision, 2002

Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration.

Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh

Proceedings of the Computer Vision, 2002