Mikaël Rousson

34 papers A* 1A 1B 2C 2Journal 9Unranked 16

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