Mikaël Rousson

Publication Activity (10 Years)

Years Active: 2002-2019
Publications (10 Years): 3

Top Venues

CoRR

Medical Image Anal.

Medical Imaging: Digital Pathology

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

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
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54 (2019)
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
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Mikaël Rousson, Martin Hedlund, Mats Andersson, Ludwig Jacobsson, Gunnar Läthén, Björn Norell, Oscar Alfonso Jiménez del Toro, Henning Müller, Manfredo Atzori
Tumor proliferation assessment of whole slide images. Medical Imaging: Digital Pathology (2018)
Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert
Colour, texture, and motion in level set based segmentation and tracking. Image Vis. Comput. 28 (3) (2010)
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
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28 (8) (2009)
Mikaël Rousson, Nikos Paragios
Prior Knowledge, Level Set Representations & Visual Grouping. Int. J. Comput. Vis. 76 (3) (2008)
Samuel Hugueny, Mikaël Rousson
Hierarchical Detection of Multiple Organs Using Boosted Features. CAIP (2007)
Jérome Piovano, Mikaël Rousson, Théodore Papadopoulo
Efficient Segmentation of Piecewise Smooth Images. SSVM (2007)
Jungha An, Mikaël Rousson, Chenyang Xu
-Convergence Approximation to Piecewise Smooth Medical Image Segmentation. MICCAI (2) (2007)
Kinda Anna Saddi, Christophe Chefd'Hotel, Mikaël Rousson, Farida Cheriet
Region-Based Segmentation via Non-Rigid Template Matching. ICCV (2007)
Daniel Cremers, Mikaël Rousson, Rachid Deriche
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. Int. J. Comput. Vis. 72 (2) (2007)
Daniel Cremers, Oliver Fluck, Mikaël Rousson, Shmuel Aharon
A probabilistic level set formulation for interactive organ segmentation. Medical Imaging: Image Processing (2007)
Christophe Lenglet, Mikaël Rousson, Rachid Deriche
DTI segmentation by statistical surface evolution. IEEE Trans. Medical Imaging 25 (6) (2006)
Oliver Fluck, Shmuel Aharon, Daniel Cremers, Mikaël Rousson
GPU histogram computation. SIGGRAPH Research Posters (2006)
Christophe Lenglet, Mikaël Rousson, Rachid Deriche, Olivier D. Faugeras
Statistics on the Manifold of Multivariate Normal Distributions: Theory and Application to Diffusion Tensor MRI Processing. J. Math. Imaging Vis. 25 (3) (2006)
Mikaël Rousson, Ying Bai, Chenyang Xu, Frank Sauer
Probabilistic minimal path for automated esophagus segmentation. Medical Imaging: Image Processing (2006)
Mikaël Rousson, Chenyang Xu
A General Framework for Image Segmentation Using Ordered Spatial Dependency. MICCAI (2) (2006)
Christophe Lenglet, Mikaël Rousson, Rachid Deriche
A statistical framework for DTI segmentation. ISBI (2006)
Timo Kohlberger, Daniel Cremers, Mikaël Rousson, Ramamani Ramaraj, Gareth Funka-Lea
4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. MICCAI (1) (2006)
Rodrigo de Luis García, Rachid Deriche, Mikaël Rousson, Carlos Alberola-López
Tensor Processing for Texture and Colour Segmentation. SCIA (2005)
Mikaël Rousson, Daniel Cremers
Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. MICCAI (2) (2005)
Mikaël Rousson, Ali Khamene, Mamadou Diallo, Juan Carlos Celi, Frank Sauer
Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images. CVBIA (2005)
Christophe Lenglet, Mikaël Rousson, Rachid Deriche, Olivier D. Faugeras, Stéphane Lehéricy, Kamil Ugurbil
A Riemannian Approach to Diffusion Tensor Images Segmentation. IPMI (2005)
Christophe Lenglet, Mikaël Rousson, Rachid Deriche
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI. MICCAI (1) (2004)
Mikaël Rousson, Nikos Paragios, Rachid Deriche
Implicit Active Shape Models for 3D Segmentation in MR Imaging. MICCAI (1) (2004)
Mikaël Rousson, Christophe Lenglet, Rachid Deriche
Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation. ECCV Workshops CVAMIA and MMBIA (2004)
Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert
Unsupervised Segmentation Incorporating Colour, Texture, and Motion. CAIP (2003)
Mikaël Rousson, Thomas Brox, Rachid Deriche
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space. CVPR (2) (2003)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Non-rigid registration using distance functions. Comput. Vis. Image Underst. 89 (2-3) (2003)
Mikaël Rousson, Nikos Paragios
Shape Priors for Level Set Representations. ECCV (2) (2002)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) (2002)
Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh
Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV (2002)

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Publication Activity (10 Years)

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Mikaël Rousson