Keywords

Co-authors

Number of documents

52

Prof. François Rousseau, IMT Atlantique


Journal articles19 documents

  • Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, et al.. An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. Computerized Medical Imaging and Graphics, Elsevier, 2018, 70, pp.73-82. ⟨10.1016/j.compmedimag.2018.09.003⟩. ⟨hal-01761063v2⟩
  • Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, et al.. Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2017, 12 (2), pp.223 - 233. ⟨10.1007/s11548-016-1493-1⟩. ⟨hal-01573601⟩
  • Julien Pontabry, François Rousseau, Colin Studholme, Mériam Koob, Jean-Louis Dietemann. A discriminative feature selection approach for shape analysis: application to fetal brain cortical folding. Medical Image Analysis, Elsevier, 2017, 35, pp.313 - 326. ⟨10.1016/j.media.2016.07.005⟩. ⟨hal-01597063⟩
  • Tuomas Tallinen, Jun Young Chung, François Rousseau, Nadine Girard, Julien Lefèvre, et al.. On the growth and form of cortical convolutions. Nature Physics, Nature Publishing Group, 2016, 12 (6), pp.588 - 593. ⟨10.1038/NPHYS3632⟩. ⟨hal-01342578⟩
  • Mengyuan Liu, Averi Kitsch, Steven Miller, Vann Chau, Kenneth Poskitt, et al.. Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birth. NeuroImage, Elsevier, 2016, 127, pp.387 - 408. ⟨10.1016/j.neuroimage.2015.12.009⟩. ⟨hal-01293455⟩
  • Meriam Koob, François Rousseau, Vincent Laugel, Nicolas Meyer, Jean-Paul Armspach, et al.. Cockayne Syndrome: A Diffusion Tensor Imaging and Volumetric Study. The British journal of radiology, 2016, pp.20151033. ⟨10.1259/bjr.20151033⟩. ⟨hal-01425490⟩
  • Julien Lefèvre, David Germanaud, Jessica Dubois, Ines de Macedo Santos, Hugo Angleys, et al.. Are Developmental Trajectories of Cortical Folding Comparable Between Cross-sectional Datasets of Fetuses and Preterm Newborns?. Cerebral Cortex, Oxford University Press (OUP), 2016, 26 (7), pp.3023 - 3035. ⟨10.1093/cercor/bhv123⟩. ⟨hal-01342582⟩
  • Ronan Fablet, François Rousseau. Joint interpolation of multi-sensor sea surface temperature fields using non-local and statistical priors. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2016, 9 (6), pp.2665 - 2675. ⟨10.1109/JSTARS.2016.2523605⟩. ⟨hal-01441483⟩
  • Nathalie Philippi, Anne Botzung, Vincent Noblet, François Rousseau, Olivier Després, et al.. Impaired emotional autobiographical memory associated with right amygdalar-hippocampal atrophy in Alzheimer's disease patients. Frontiers in Aging Neuroscience, Frontiers, 2015, 7, pp.21. ⟨10.3389/fnagi.2015.00021⟩. ⟨hal-01289151⟩
  • François Rousseau, Nicolas Passat. L'analyse et le traitement d'images IRM cérébrales. Techniques de l'Ingenieur, Techniques de l'ingénieur, 2014, pp.MED900. ⟨https://www.techniques-ingenieur.fr/base-documentaire/biomedical-pharma-th15/imagerie-medicale-42607210/analyse-et-traitement-d-images-anatomiques-en-irm-cerebrale-med900/⟩. ⟨hal-01694405⟩
  • Julien Pontabry, François Rousseau, Estanislao Oubel, Colin Studholme, Mériam Koob, et al.. Probabilistic Tractography Using Q-Ball Imaging and Particle Filtering: Application to Adult and in-utero Fetal Brain Studies. Medical Image Analysis, Elsevier, 2012, 17, pp.297-310. ⟨10.1016/j.media.2012.11.004⟩. ⟨hal-00873625⟩
  • Sylvain Faisan, Christian Heinrich, François Rousseau, Alex Lallement, Jihad Zallat. Joint filtering-estimation of Stokes vector images based on a non-local means approach. Journal of the Optical Society of America. A Optics, Image Science, and Vision, Optical Society of America, 2012, 29 (9), pp.2028-2037. ⟨10.1364/JOSAA.29.002028⟩. ⟨hal-00727659⟩
  • Nicolas Passat, Benoît Naegel, François Rousseau, Mériam Koob, Jean-Louis Dietemann. Interactive segmentation based on component-trees. Pattern Recognition, Elsevier, 2011, 44 (10-11), pp.2539-2554. ⟨10.1016/j.patcog.2011.03.025⟩. ⟨hal-00687001⟩
  • François Rousseau, Piotr Habas, Colin Studholme. A supervised patch-based approach for human brain labeling. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2011, 30 (10), http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5771116. ⟨10.1109/TMI.2011.2156806⟩. ⟨hal-00631458⟩
  • Benoît Caldairou, Nicolas Passat, Piotr Habas, Colin Studholme, François Rousseau. A non-local fuzzy segmentation method: Application to brain MRI. Pattern Recognition, Elsevier, 2011, 44 (9), pp.1916-1927. ⟨10.1016/j.patcog.2010.06.006⟩. ⟨hal-00476587⟩
  • Estanislao Oubel, Mériam Koob, Colin Studholme, Jean-Louis Dietemann, François Rousseau. Reconstruction of Scattered Data in Fetal Diffusion MRI. Medical Image Analysis, Elsevier, 2011, 16 (1), pp.28-37. ⟨10.1016/j.media.2011.04.004⟩. ⟨hal-00680285⟩
  • Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, et al.. Evaluation of Brain Atrophy Estimation Algorithms using Simulated Ground-Truth Data. Medical Image Analysis, Elsevier, 2010, 14 (3), http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6W6Y-4YDKK26-1&_user=4853051&_coverDate=06. ⟨10.1016/j.media.2010.02.002⟩. ⟨hal-00477102⟩
  • François Rousseau. A Non-local Approach for Image Super-Resolution using Intermodality Priors. Medical Image Analysis, Elsevier, 2010, 14 (4), pp.594-605. ⟨10.1016/j.media.2010.04.005⟩. ⟨hal-00440313v2⟩
  • François Rousseau, Orit Glenn, Bistra Iordanova, Claudia Rodriguez-Carranza, Dan Vigneron, et al.. Registration-based Approach for Reconstruction of High Resolution In Utero Fetal MR Brain Images. Academic Radiology, Elsevier, 2006, 13 (9), pp.1072-1081. ⟨10.1016/j.acra.2006.05.003⟩. ⟨hal-00257196v2⟩

Book sections1 document

  • François Rousseau, Colin Studholme, Renaud Jardri, Moriah Thomason. In Vivo Fetal Brain Analysis Using MR Imaging. Fetal Development: Research on Brain and Behavior, Environmental Influences, and Emerging Technologies, Springer, pp.407 - 427, 2016, 978-3-319-22022-2. ⟨10.1007/978-3-319-22023-9⟩. ⟨hal-01293484⟩

Conference papers23 documents

  • Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, et al.. Hierarchical approach for neonate cerebellum segmentation from MRI: An experimental study. International Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_37⟩. ⟨hal-01982960⟩
  • Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, et al.. Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processing. International Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. ⟨10.1007/978-3-030-20867-7_36⟩. ⟨hal-01982972⟩
  • Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, et al.. Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. Engineering in Medicine and Biology Conference (EMBC), 2019, Berlin, Germany. ⟨hal-01896545⟩
  • Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, et al.. Super-résolution et segmentation simultanées d’IRM cérébrales néonatales par réseaux antagonistes génératifs. Congrès National d’Imagerie du Vivant (CNIV), 2019, Paris, France. ⟨hal-01978970⟩
  • Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, et al.. Simultaneous super-resolution and segmentation using a generative adversarial network: Application to neonatal brain MRI. International Symposium on Biomedical Imaging (ISBI), 2019, Venice, Italy. ⟨hal-01895163⟩
  • Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, et al.. Segmentation d'IRM de cervelet de nouveau-nés prématurés par approche hiérarchique. Journée ISS France, 2019, Paris, France. ⟨hal-02003654⟩
  • Antoine Legouhy, Olivier Commowick, François Rousseau, Christian Barillot. Unbiased longitudinal brain atlas creation using robust linear registration and log-Euclidean framework for diffeomorphisms. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venise, Italy. pp.1038-1041. ⟨inserm-02099958⟩
  • Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, et al.. Une approche par patchs, multi-atlas, itérative pour la segmentation du cortex cérébral en IRM néonatale. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), 2018, Marne-la-Vallée, France. ⟨hal-01716923⟩
  • Antoine Legouhy, Olivier Commowick, François Rousseau, Christian Barillot. Anisotropic similarity, a constrained affine transformation: Application to brain development analysis. ISMRM 2018, Jun 2018, Paris, France. pp.1. ⟨inserm-01871274⟩
  • Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, et al.. Hierarchical Multi-Scale Supervoxel Matching using Random Forests for Automatic Semi-Dense Abdominal Image Registration. IEEE International Symphosium on Biomedical Imaging, Apr 2017, Melbourne, Australia. ⟨hal-01465421⟩
  • Lucas Soustelle, Paulo Loureiro de Sousa, Julien Lamy, Mathieu Santin, François Rousseau, et al.. Myelin and cortical bone short-T2 quantification using saturation and diffusion-based long-T2 suppression in a steady-state 3D-UTE sequence. ISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States. ⟨hal-01802707⟩
  • Chi-Hieu Pham, Aurelien Ducournau, Ronan Fablet, François Rousseau. Brain MRI Super-Resolution using Deep 3D Convolutional Networks. ISBI 2017 : IEEE 14th International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.197 - 200, ⟨10.1109/ISBI.2017.7950500⟩. ⟨hal-01596811⟩
  • Lucas Soustelle, Julien Lamy, Paulo Loureiro de Sousa, François Rousseau, Jean-Paul Armspach. Long-T2 suppression based on saturation and diffusion in a steady-state 3D-UTE sequence. ISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States. ⟨hal-01802711⟩
  • Lucas Soustelle, Julien Lamy, Paulo Loureiro de Sousa, François Rousseau, Jean-Paul Armspach. Inversion-non-Recovery (InoR) method for long-T2 suppression in a steady-state 3D-UTE sequence for short-T2 imaging. ISMRM'17 : 25th Annual Meeting & Exhibition of the International Society for Magnetic Resonance in Medicine, Apr 2017, Honolulu, United States. ⟨hal-01802710⟩
  • Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, et al.. Random Forests on Hierarchical Multi-Scale Supervoxels for Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans.. International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic. ⟨hal-01284631⟩
  • Ronan Fablet, François Rousseau. Non-Local Super-resolution of Missing Data in Multi-sensor Observations of Sea Surface Geophysical Fields. IGARSS 2015: IEEE International Geoscience and Remote Sensing Symposium, Jul 2015, Milan, Italy. pp.TUP.PJ.8. ⟨hal-01292234⟩
  • Ronan Fablet, François Rousseau. Missing data super-resolution using non-local and statistical priors. ICIP 2015 : IEEE International Conference on Image Processing, Sep 2015, Québec, Canada. pp.676 - 680, ⟨10.1109/ICIP.2015.7350884⟩. ⟨hal-01271182⟩
  • Julien Pontabry, François Rousseau. Étude du développement cérébral in utero à partir de données IRM. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France. ⟨hal-00988894⟩
  • Julien Pontabry, François Rousseau. Construction d'atlas longitudinal en IRM de diffusion. ORASIS - Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. ⟨hal-00829411⟩
  • Julien Pontabry, François Rousseau. Sélection de caractéristiques pour l'étude de la maturation cérébrale. ORASIS - Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. ⟨hal-00829413⟩
  • Benoît Caldairou, Nicolas Passat, Piotr Habas, Colin Studholme, Mériam Koob, et al.. Segmentation of the cortex in fetal MRI using a topological model. International Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.2045-2048, ⟨10.1109/ISBI.2011.5872814⟩. ⟨hal-01695037⟩
  • Benoît Caldairou, Nicolas Passat, Piotr Habas, Colin Studholme, Mériam Koob, et al.. Data-driven cortex segmentation in reconstructed fetal MRI by using structural constraints. International Conference on Computer Analysis of Images and Patterns (CAIP), 2011, Seville, Spain. pp.503-511, ⟨10.1007/978-3-642-23672-3_61⟩. ⟨hal-01695055⟩
  • Benoît Caldairou, François Rousseau, Nicolas Passat, Piotr Habas, Colin Studholme, et al.. A non-local fuzzy segmentation method: Application to brain MRI. International Conference on Computer Analysis of Images and Patterns (CAIP), 2009, Münster, Germany. pp.606-613, ⟨10.1007/978-3-642-03767-2_74⟩. ⟨hal-01695014⟩

Other publications1 document

  • Youssef Taleb, Marc Schweitzer, Colin Studholme, Mériam Koob, Jean-Louis Dietemann, et al.. Automatic Template-based Brain Extraction in Fetal MR Images. 2013. ⟨hal-00879089⟩

Preprints, Working Papers, ...5 documents

  • Pierre Cettour-Janet, Clément Cazorla, Vaïa Machairas, Quentin Delannoy, Nathalie Bednarek, et al.. Watervoxels. 2019. ⟨hal-02004228⟩
  • François Rousseau, Ronan Fablet. Residual Networks as Geodesic Flows of Diffeomorphisms. 2018. ⟨hal-01796729⟩
  • Chi-Hieu Pham, Ronan Fablet, François Rousseau. Multi-scale brain MRI super-resolution using deep 3D convolutional networks. 2017. ⟨hal-01635455⟩
  • François Rousseau, Estanislao Oubel, Julien Pontabry, Marc Schweitzer, Colin Studholme, et al.. BTK: An Open-Source Toolkit for Fetal Brain MR Image Processing. 2011. 〈hal-00671183〉
  • Francois Rousseau, Sylvain Faisan, Fabrice Heitz, Jean-Paul Armspach, Yves Chevalier, et al.. Une approche a contrario pour la détection de changements dans des images IRM multimodales 3D. 2007. ⟨hal-00152717⟩

Reports1 document

  • François Rousseau, Christian Barillot. Quality Assessment of Electromagnetic Localizers in the Context of 3D Ultrasound. [Research Report] RR-4408, INRIA. 2002. ⟨inria-00072180⟩

Theses1 document

  • François Rousseau. Méthodes d'analyse d'images et de calibration pour l'échographie 3D en mode main-libre. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2003. Français. ⟨tel-00011991⟩

Habilitation à diriger des recherches1 document

  • François Rousseau. Méthodes d'analyse d'images pour l'anatomie numérique cérébrale. Traitement du signal et de l'image [eess.SP]. Université de Strasbourg, 2014. ⟨tel-01011781⟩