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ORCIDMikaël Rousson
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- affiliation: INRIA, France
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2010 – 2019
- 2019
[j8]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: 111-121 (2019)- 2018
- [c23]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. Digital Pathology 2018: 105810Y - [i1]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 abs/1807.08284 (2018) - 2010
- [j7]Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert:
Colour, texture, and motion in level set based segmentation and tracking. Image Vis. Comput. 28(3): 376-390 (2010)
2000 – 2009
- 2009
- [j6]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): 1251-1265 (2009) - 2008
- [j5]Mikaël Rousson, Nikos Paragios:
Prior Knowledge, Level Set Representations & Visual Grouping. Int. J. Comput. Vis. 76(3): 231-243 (2008) - 2007
- [j4]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): 195-215 (2007) - [c22]Samuel Hugueny, Mikaël Rousson:
Hierarchical Detection of Multiple Organs Using Boosted Features. CAIP 2007: 317-325 - [c21]Kinda Anna Saddi, Christophe Chefd'Hotel, Mikaël Rousson, Farida Cheriet:
Region-Based Segmentation via Non-Rigid Template Matching. ICCV 2007: 1-7 - [c20]Jungha An, Mikaël Rousson, Chenyang Xu:
Gamma -Convergence Approximation to Piecewise Smooth Medical Image Segmentation. MICCAI (2) 2007: 495-502 - [c19]Daniel Cremers, Oliver Fluck, Mikaël Rousson, Shmuel Aharon:
A probabilistic level set formulation for interactive organ segmentation. Image Processing 2007: 65120V - [c18]Jérome Piovano, Mikaël Rousson, Théodore Papadopoulo:
Efficient Segmentation of Piecewise Smooth Images. SSVM 2007: 709-720 - 2006
- [j3]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): 423-444 (2006) - [j2]Christophe Lenglet, Mikaël Rousson, Rachid Deriche:
DTI segmentation by statistical surface evolution. IEEE Trans. Medical Imaging 25(6): 685-700 (2006) - [c17]Christophe Lenglet, Mikaël Rousson, Rachid Deriche:
A statistical framework for DTI segmentation. ISBI 2006: 794-797 - [c16]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: 92-100 - [c15]Mikaël Rousson, Chenyang Xu:
A General Framework for Image Segmentation Using Ordered Spatial Dependency. MICCAI (2) 2006: 848-855 - [c14]Mikaël Rousson, Ying Bai, Chenyang Xu, Frank Sauer:
Probabilistic minimal path for automated esophagus segmentation. Image Processing 2006: 614449 - [c13]Oliver Fluck, Shmuel Aharon, Daniel Cremers, Mikaël Rousson:
GPU histogram computation. SIGGRAPH Research Posters 2006: 53 - [p2]Rachid Deriche, D. Tschumpelé, Christophe Lenglet, Mikaël Rousson:
Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images. Handbook of Mathematical Models in Computer Vision 2006: 517-530 - [p1]Nikos Paragios, Maxime Taron, Xiaolei Huang, Mikaël Rousson, Dimitris N. Metaxas:
On the Representation of Shapes Using Implicit Functions. Statistics and Analysis of Shapes 2006: 167-199 - 2005
- [c12]Mikaël Rousson, Ali Khamene, Mamadou Diallo, Juan Carlos Celi, Frank Sauer:
Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images. CVBIA 2005: 251-260 - [c11]Christophe Lenglet, Mikaël Rousson, Rachid Deriche, Olivier D. Faugeras, Stéphane Lehéricy, Kâmil Ugurbil:
A Riemannian Approach to Diffusion Tensor Images Segmentation. IPMI 2005: 591-602 - [c10]Mikaël Rousson, Daniel Cremers:
Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation. MICCAI (2) 2005: 757-764 - [c9]Rodrigo de Luis García, Rachid Deriche, Mikaël Rousson, Carlos Alberola-López:
Tensor Processing for Texture and Colour Segmentation. SCIA 2005: 1117-1127 - 2004
- [b1]Mikaël Rousson:
Cue Integration and Front Evolution in Image Segmentation. (Intégration d'attributs et évolutions de fronts en segmentation d'images). University of Nice Sophia Antipolis, France, 2004 - [c8]Mikaël Rousson, Christophe Lenglet, Rachid Deriche:
Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation. ECCV Workshops CVAMIA and MMBIA 2004: 123-134 - [c7]Christophe Lenglet, Mikaël Rousson, Rachid Deriche:
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI. MICCAI (1) 2004: 18-25 - [c6]Mikaël Rousson, Nikos Paragios, Rachid Deriche:
Implicit Active Shape Models for 3D Segmentation in MR Imaging. MICCAI (1) 2004: 209-216 - 2003
- [j1]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Non-rigid registration using distance functions. Comput. Vis. Image Underst. 89(2-3): 142-165 (2003) - [c5]Thomas Brox, Mikaël Rousson, Rachid Deriche, Joachim Weickert:
Unsupervised Segmentation Incorporating Colour, Texture, and Motion. CAIP 2003: 353-360 - [c4]Mikaël Rousson, Thomas Brox, Rachid Deriche:
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space. CVPR (2) 2003: 699-706 - 2002
- [c3]Mikaël Rousson, Nikos Paragios:
Shape Priors for Level Set Representations. ECCV (2) 2002: 78-92 - [c2]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration. ECCV (2) 2002: 775-789 - [c1]Nikos Paragios, Mikaël Rousson, Visvanathan Ramesh:
Knowledge-based Registration & Segmentation of the Left Ventricle: A Level Set Approach. WACV 2002: 37-42
Coauthor Index
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