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François Rousseau 0002
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- affiliation: Telecom Bretagne
Other persons with the same name
- François Rousseau — disambiguation page
- François Rousseau 0001 — LIX, École Polytechnique, France
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2020 – today
- 2024
- [j37]Zhengyang Lan, Mathieu Lempereur, Gwenael Gueret, Laetitia Houx, Marine Cacioppo, Christelle Pons, Johanne Mensah, Olivier Rémy-Néris, Abdeldjalil Aïssa-El-Bey, François Rousseau, Sylvain Brochard:
Towards a diagnostic tool for neurological gait disorders in childhood combining 3D gait kinematics and deep learning. Comput. Biol. Medicine 171: 108095 (2024) - [j36]Pierre-Henri Conze, Gustavo Andrade-Miranda, Yannick Le Meur, Emilie Cornec-Le Gall, François Rousseau:
Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease. Comput. Medical Imaging Graph. 113: 102349 (2024) - [j35]Ahmed Bentaleb, Christophe Sintes, Pierre-Henri Conze, François Rousseau, Aziliz Guezou-Philippe, Chafiaa Hamitouche:
Complex Residual Attention U-Net for Fast Ultrasound Imaging from a Single Plane-Wave Equivalent to Diverging Wave Imaging. Sensors 24(16): 5111 (2024) - [j34]Vivien Kraus, Guillaume Dollé, Margaux Alloux, Gauthier Loron, Nathalie Bednarek, Jonathan Beck, François Rousseau, Nicolas Passat:
SLAM - A thin-client for interoperable annotation and biomedical signal handling. SoftwareX 27: 101795 (2024) - [c57]Emma Lhermitte, Mickaël Dinomais, Rodrigo Araneda Oyaneder, Yannick Bleyenheuft, Andrea Guzetta, Sylvain Brochard, François Rousseau:
Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models. ISBI 2024: 1-5 - [c56]Steven Jia, Chloé Mercier, Alexandre Pron, Nadine Girard, Guillaume Auzias, François Rousseau:
Joint Multi-contrast Reconstruction of Fetal MRI Based on Implicit Neural Representations. PIPPI@MICCAI 2024: 14-23 - 2023
- [j33]Nathan Decaux, Pierre-Henri Conze, Juliette Ropars, Xinyan He, Frances T. Sheehan, Christelle Pons, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Semi-automatic muscle segmentation in MR images using deep registration-based label propagation. Pattern Recognit. 140: 109529 (2023) - [j32]Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. Trans. Mach. Learn. Res. 2023 (2023) - [c55]Sarah Reynaud, Adrien Merlini, Douraied Ben Salem, François Rousseau:
EEG Source Imaging by Supervised Learning. EUSIPCO 2023: 1170-1174 - [c54]Chloé Mercier, Sylvain Faisan, Alexandre Pron, Nadine Girard, Guillaume Auzias, Thierry Chonavel, François Rousseau:
Retrospective motion estimation for fetal brain MRI. IPTA 2023: 1-6 - [c53]Yue Cheng, Rodolphe Bailly, Bhushan Borotikar, Claire Scavinner-Dorval, Benjamin Fouquet, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Morphological analysis of ankle shorts bones of children with cerebral palsy: a comparative study. Image Processing 2023 - 2022
- [j31]Antoine Legouhy, François Rousseau, Christian Barillot, Olivier Commowick:
An Iterative Centroid Approach for Diffeomorphic Online Atlasing. IEEE Trans. Medical Imaging 41(9): 2521-2531 (2022) - [c52]Simon Benaïchouche, Clément Le Goff, Brahim Boussidi, François Rousseau, Ronan Fablet:
Learnable Variational Models for the Reconstruction of Sea Surface Currents Using Ais Data Streams: A Case Study on the Sicily Channel. IGARSS 2022: 6821-6824 - [i8]Guillaume Morel, Lucas Drumetz, Nicolas Courty, François Rousseau, Simon Benaïchouche:
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. CoRR abs/2209.10873 (2022) - 2021
- [j30]Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau:
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. Artif. Intell. Medicine 117: 102109 (2021) - [j29]Ronan Fablet, Maxime Beauchamp, Lucas Drumetz, François Rousseau:
Joint Interpolation and Representation Learning for Irregularly Sampled Satellite-Derived Geophysical Fields. Frontiers Appl. Math. Stat. 7: 655224 (2021) - [j28]Jimmy Francky Randrianasoa, Pierre Cettour-Janet, Camille Kurtz, Eric Desjardin, Pierre Gançarski, Nathalie Bednarek, François Rousseau, Nicolas Passat:
Supervised quality evaluation of binary partition trees for object segmentation. Pattern Recognit. 111: 107667 (2021) - [j27]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models. Remote. Sens. 13(16): 3162 (2021) - [c51]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-End Learning of Variational Models and Solvers for the Resolution of Interpolation Problems. ICASSP 2021: 2360-2364 - [c50]Simon Benaïchouche, Clément Le Goff, Yann Guichoux, François Rousseau, Ronan Fablet:
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Learnable Variational Models. ICASSP 2021: 4100-4104 - 2020
- [j26]Quentin Delannoy, Chi-Hieu Pham, Clément Cazorla, Carlos Tor-Díez, Guillaume Dollé, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
SegSRGAN: Super-resolution and segmentation using generative adversarial networks - Application to neonatal brain MRI. Comput. Biol. Medicine 120: 103755 (2020) - [j25]François Rousseau, Lucas Drumetz, Ronan Fablet:
Residual Networks as Flows of Diffeomorphisms. J. Math. Imaging Vis. 62(3): 365-375 (2020) - [i7]Pierre-Henri Conze, Ali Emre Kavur, Emilie Cornec-Le Gall, Naciye Sinem Gezer, Yannick Le Meur, M. Alper Selver, François Rousseau:
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks. CoRR abs/2001.09521 (2020) - [i6]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking. CoRR abs/2005.02159 (2020) - [i5]Ronan Fablet, Lucas Drumetz, François Rousseau:
Joint learning of variational representations and solvers for inverse problems with partially-observed data. CoRR abs/2006.03653 (2020) - [i4]Ronan Fablet, Bertrand Chapron, Lucas Drumetz, Étienne Mémin, Olivier Pannekoucke, François Rousseau:
Learning Variational Data Assimilation Models and Solvers. CoRR abs/2007.12941 (2020)
2010 – 2019
- 2019
- [j24]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Multiscale brain MRI super-resolution using deep 3D convolutional networks. Comput. Medical Imaging Graph. 77 (2019) - [j23]Pierre Cettour-Janet, Clément Cazorla, Vaïa Machairas, Quentin Delannoy, Nathalie Bednarek, François Rousseau, Etienne Decencière, Nicolas Passat:
Watervoxels. Image Process. Line 9: 317-328 (2019) - [c49]Xiaoyu Wang, Amine Bohi, Mariam Al Harrach, Mickaël Dinomais, Julien Lefèvre, François Rousseau:
On early brain folding patterns using biomechanical growth modeling. EMBC 2019: 146-149 - [c48]Amine Bohi, Xiaoyu Wang, Mariam Al Harrach, Mickaël Dinomais, François Rousseau, Julien Lefèvre:
Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis. EMBC 2019: 442-445 - [c47]Karim Makki, Bhushan Borotikar, Marc Garetier, Oscar Acosta, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
4D in vivo quantification of ankle joint space width using dynamic MRI. EMBC 2019: 2115-2118 - [c46]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
Temporal resolution enhancement of dynamic MRI sequences within a motion-based framework. EMBC 2019: 4004-4007 - [c45]Carlos Tor-Díez, Chi-Hieu Pham, Hélène Meunier, Sylvain Faisan, Isabelle Bloch, Nathalie Bednarek, Nicolas Passat, François Rousseau:
Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. EMBC 2019: 6553-6556 - [c44]Ronan Fablet, Julien Le Sommer, Jean-Marc Molines, Lucas Drumetz, François Rousseau, Bertrand Chapron:
Learning Differential Transport Operators for the Joint Super-Resolution of Sea Surface Tracers and Prediction of Subgrid-Scale Features. IGARSS 2019: 7916-7919 - [c43]Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. ISBI 2019: 991-994 - [c42]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: 1038-1041 - [c41]Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, Isabelle Bloch, Nicolas Passat, François Rousseau:
Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing. ISMM 2019: 471-482 - [c40]Pierre Cettour-Janet, Gilles Valette, Laurent Lucas, Hélène Meunier, Gauthier Loron, Nathalie Bednarek, François Rousseau, Nicolas Passat:
Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study. ISMM 2019: 483-495 - [c39]Antoine Legouhy, Olivier Commowick, François Rousseau, Christian Barillot:
Online Atlasing Using an Iterative Centroid. MICCAI (3) 2019: 366-374 - [i3]Amine Bohi, Xiaoyu Wang, Mariam Al Harrach, Mickaël Dinomais, François Rousseau, Julien Lefèvre:
Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis. CoRR abs/1902.05883 (2019) - [i2]Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. CoRR abs/1910.00556 (2019) - 2018
- [j22]Carlos Tor-Díez, Nicolas Passat, Isabelle Bloch, Sylvain Faisan, Nathalie Bednarek, François Rousseau:
An iterative multi-atlas patch-based approach for cortex segmentation from neonatal MRI. Comput. Medical Imaging Graph. 70: 73-82 (2018) - [c38]Karim Makki, Bhushan Borotikar, Marc Garetier, Sylvain Brochard, Douraied Ben Salem, François Rousseau:
High-resolution temporal reconstruction of ankle joint from dynamic MRI. ISBI 2018: 1297-1300 - [i1]François Rousseau, Ronan Fablet:
Residual Networks as Geodesic Flows of Diffeomorphisms. CoRR abs/1805.09585 (2018) - 2017
- [j21]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux:
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12(2): 223-233 (2017) - [j20]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 Anal. 35: 313-326 (2017) - [c37]Chi-Hieu Pham, Aurélien Ducournau, Ronan Fablet, François Rousseau:
Brain MRI super-resolution using deep 3D convolutional networks. ISBI 2017: 197-200 - [c36]Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux:
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI 2017: 490-493 - 2016
- [j19]Mengyuan Liu, Averi Kitsch, Steven P. Miller, Vann Chau, Kenneth J. Poskitt, François Rousseau, Dennis Shaw, Colin Studholme:
Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birth. NeuroImage 127: 387-408 (2016) - [j18]Ronan Fablet, François Rousseau:
Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2665-2675 (2016) - [c35]Luis Tobias, Aurélien Ducournau, François Rousseau, Grégoire Mercier, Ronan Fablet:
Convolutional Neural Networks for object recognition on mobile devices: A case study. ICPR 2016: 3530-3535 - [c34]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI 2016: 416-419 - 2015
- [c33]Ronan Fablet, François Rousseau:
Missing data super-resolution using non-local and statistical priors. ICIP 2015: 676-680 - [c32]Antonietta Pepe, Guillaume Auzias, François De Guio, François Rousseau, David Germanaud, Jean-François Mangin, Nadine Girard, Olivier Coulon, Julien Lefèvre:
Spectral clustering based parcellation of FETAL brain MRI. ISBI 2015: 152-155 - [c31]Guillaume Auzias, François De Guio, Antonietta Pepe, François Rousseau, Jean-François Mangin, Nadine Girard, Julien Lefèvre, Olivier Coulon:
Model-driven parameterization of fetal cortical surfaces. ISBI 2015: 1260-1263 - [c30]Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI 2015: 212-219 - 2014
- [b1]François Rousseau:
Méthodes d'analyse d'images pour l'anatomie numérique cérébrale. University of Strasbourg, France, 2014 - [j17]Mads Fogtmann, Sharmishtaa Seshamani, Christopher D. Kroenke, Xi Cheng, Teresa Chapman, Jakob Wilm, François Rousseau, Colin Studholme:
A Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy. IEEE Trans. Medical Imaging 33(2): 272-289 (2014) - [c29]Larbi Boubchir, François Rousseau:
Unsupervised white matter fiber tracts clustering methodology with application on brain MRI data. ICIP 2014: 1872-1876 - [c28]Mengyuan Liu, Sharmishtaa Seshamani, Lisa Harrylock, Averi Kitsch, Steven P. Miller, Vann Chau, Kenneth J. Poskitt, François Rousseau, Colin Studholme:
Spatially adapted augmentation of age-specific atlas-based segmentation using patch-based priors. Image Processing 2014: 90341H - 2013
- [j16]Swati Sharma, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations. Comput. Medical Imaging Graph. 37(7-8): 538-551 (2013) - [j15]François Rousseau, Estanislao Oubel, Julien Pontabry, Marc Schweitzer, Colin Studholme, Mériam Koob, Jean-Louis Dietemann:
BTK: An open-source toolkit for fetal brain MR image processing. Comput. Methods Programs Biomed. 109(1): 65-73 (2013) - [j14]Julien Pontabry, François Rousseau, Estanislao Oubel, Colin Studholme, Mériam Koob, Jean-Louis Dietemann:
Probabilistic tractography using Q-ball imaging and particle filtering: Application to adult and in-utero fetal brain studies. Medical Image Anal. 17(3): 297-310 (2013) - [c27]François Rousseau, Daniel Gounot, Colin Studholme:
On high-resolution image estimation using low-resolution brain MRI. EMBC 2013: 1081-1084 - [c26]François Rousseau, Colin Studholme:
A supervised patch-based image reconstruction technique: Application to brain MRI super-resolution. ISBI 2013: 346-349 - 2012
- [j13]Estanislao Oubel, Mériam Koob, Colin Studholme, Jean-Louis Dietemann, François Rousseau:
Reconstruction of scattered data in fetal diffusion MRI. Medical Image Anal. 16(1): 28-37 (2012) - [j12]Vidya Rajagopalan, Julia A. Scott, Piotr A. Habas, Kio Kim, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Mapping directionality specific volume changes using tensor based morphometry: An application to the study of gyrogenesis and lateralization of the human fetal brain. NeuroImage 63(2): 947-958 (2012) - 2011
- [j11]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, François Rousseau:
A non-local fuzzy segmentation method: Application to brain MRI. Pattern Recognit. 44(9): 1916-1927 (2011) - [j10]Nicolas Passat, Benoît Naegel, François Rousseau, Mériam Koob, Jean-Louis Dietemann:
Interactive segmentation based on component-trees. Pattern Recognit. 44(10-11): 2539-2554 (2011) - [j9]Kio Kim, Piotr A. Habas, Vidya Rajagopalan, Julia A. Scott, James M. Corbett-Detig, François Rousseau, A. James Barkovich, Orit A. Glenn, Colin Studholme:
Bias Field Inconsistency Correction of Motion-Scattered Multislice MRI for Improved 3D Image Reconstruction. IEEE Trans. Medical Imaging 30(9): 1704-1712 (2011) - [j8]François Rousseau, Piotr A. Habas, Colin Studholme:
A Supervised Patch-Based Approach for Human Brain Labeling. IEEE Trans. Medical Imaging 30(10): 1852-1862 (2011) - [c25]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, Mériam Koob, Jean-Louis Dietemann, François Rousseau:
Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints. CAIP (1) 2011: 503-511 - [c24]François Rousseau, Piotr A. Habas, Colin Studholme:
Human brain labeling using image similarities. CVPR 2011: 1081-1088 - [c23]Benoît Caldairou, Nicolas Passat, Piotr A. Habas, Colin Studholme, Mériam Koob, Jean-Louis Dietemann, François Rousseau:
Segmentation of the cortex in fetal MRI using a topological model. ISBI 2011: 2045-2048 - [c22]Julien Pontabry, François Rousseau:
Probabilistic Tractography Using Q-Ball Modeling and Particle Filtering. MICCAI (2) 2011: 209-216 - [c21]Vidya Rajagopalan, Julia A. Scott, Piotr A. Habas, Kio Kim, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Spatiotemporal Morphometry of Adjacent Tissue Layers with Application to the Study of Sulcal Formation. MICCAI (2) 2011: 476-483 - [c20]Piotr A. Habas, Vidya Rajagopalan, Julia A. Scott, Kio Kim, Ahmad Roosta, François Rousseau, A. James Barkovich, Orit A. Glenn, Colin Studholme:
Detection and mapping of delays in early cortical folding derived from in utero MRI. Image Processing 2011: 79620O - [c19]Kio Kim, Piotr A. Habas, Vidya Rajagopalan, Julia A. Scott, François Rousseau, A. James Barkovich, Orit A. Glenn, Colin Studholme:
SLIMMER: SLIce MRI motion estimation and reconstruction tool for studies of fetal anatomy. Image Processing 2011: 79624D - 2010
- [j7]Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Anal. 14(3): 373-389 (2010) - [j6]François Rousseau:
A non-local approach for image super-resolution using intermodality priors. Medical Image Anal. 14(4): 594-605 (2010) - [j5]Piotr A. Habas, Kio Kim, James M. Corbett-Detig, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation. NeuroImage 53(2): 460-470 (2010) - [j4]Kio Kim, Piotr A. Habas, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Intersection Based Motion Correction of Multislice MRI for 3-D in Utero Fetal Brain Image Formation. IEEE Trans. Medical Imaging 29(1): 146-158 (2010) - [c18]François Rousseau, Kio Kim, Colin Studholme:
A groupwise super-resolution approach: application to brain MRI. ISBI 2010: 860-863 - [c17]Vidya Rajagopalan, Julia A. Scott, Piotr A. Habas, Kio Kim, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Measures for Characterizing Directionality Specific Volume Changes in TBM of Brain Growth. MICCAI (2) 2010: 339-346 - [c16]François Rousseau, Kio Kim, Colin Studholme, Mériam Koob, Jean-Louis Dietemann:
On Super-Resolution for Fetal Brain MRI. MICCAI (2) 2010: 355-362 - [c15]Estanislao Oubel, Mériam Koob, Colin Studholme, Jean-Louis Dietemann, François Rousseau:
Reconstruction of Scattered Data in Fetal Diffusion MRI. MICCAI (1) 2010: 574-581 - [c14]Kio Kim, Piotr A. Habas, François Rousseau, Orit A. Glenn, A. James Barkovich, Mériam Koob, Jean-Louis Dietemann, Ashley J. Robinson, Kenneth J. Poskitt, Steven P. Miller, Colin Studholme:
Reconstruction of a geometrically correct diffusion tensor image of a moving human fetal brain. Image Processing 2010: 76231I
2000 – 2009
- 2009
- [c13]Benoît Caldairou, François Rousseau, Nicolas Passat, Piotr A. Habas, Colin Studholme, Christian Heinrich:
A Non-Local Fuzzy Segmentation Method: Application to Brain MRI. CAIP 2009: 606-613 - [c12]Piotr A. Habas, Kio Kim, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation. MICCAI (1) 2009: 289-296 - [c11]Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) 2009: 566-574 - [c10]Piotr A. Habas, Kio Kim, Dharshan Chandramohan, François Rousseau, Orit A. Glenn, Colin Studholme:
Statistical model of laminar structure for atlas-based segmentation of the fetal brain from in utero MR images. Image Processing 2009: 725917 - 2008
- [c9]François Rousseau, Frédéric Blanc, Jérôme de Seze, Lucien Rumbach, Jean-Paul Armspach:
An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI. ISBI 2008: 9-12 - [c8]Kio Kim, Mads Hansen, Piotr A. Habas, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Intersection based registration of slice stacks to form 3D images of the human fetal brain. ISBI 2008: 1167-1170 - [c7]Piotr A. Habas, Kio Kim, François Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme:
Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain. MICCAI (1) 2008: 351-358 - 2006
- [j3]François Rousseau, Pierre Hellier, Christian Barillot:
A novel temporal calibration method for 3-D ultrasound. IEEE Trans. Medical Imaging 25(8): 1108-1112 (2006) - [j2]François Rousseau, Pierre Hellier, Marloes M. J. Letteboer, Wiro J. Niessen, Christian Barillot:
Quantitative Evaluation of Three Calibration Methods for 3-D Freehand Ultrasound. IEEE Trans. Medical Imaging 25(11): 1492-1501 (2006) - [c6]Claudia E. Rodríguez-Carranza, François Rousseau, Bistra Iordanova, Orit A. Glenn, Daniel B. Vigneron, A. James Barkovich, Colin Studholme:
An ISO-surface folding analysis method applied to premature neonatal brain development. Image Processing 2006: 61441K - 2005
- [j1]François Rousseau, Pierre Hellier, Christian Barillot:
Confhusius: A robust and fully automatic calibration method for 3D freehand ultrasound. Medical Image Anal. 9(1): 25-38 (2005) - [c5]François Rousseau, Orit A. Glenn, Bistra Iordanova, Claudia E. Rodríguez-Carranza, Daniel B. Vigneron, A. James Barkovich, Colin Studholme:
A Novel Approach to High Resolution Fetal Brain MR Imaging. MICCAI 2005: 548-555 - [c4]François Rousseau, Andrew Maudsley, Andreas Ebel, Ammar Darkazanli, Patrice Weber, Krishnakumar Sivasankaran, Yingjian Yu, Colin Studholme:
Evaluation of sub-voxel registration accuracy between MRI and 3D MR spectroscopy of the brain. Image Processing 2005 - 2003
- [c3]François Rousseau, Ronan Fablet, Christian Barillot:
Robust statistical registration of 3D ultrasound images using texture information. ICIP (1) 2003: 581-584 - [c2]François Rousseau, Pierre Hellier, Christian Barillot:
Robust and Automatic Calibration Method for 3D Freehand Ultrasound. MICCAI (2) 2003: 440-448 - 2002
- [c1]François Rousseau, Pierre Hellier, Christian Barillot:
A fully automatic calibration procedure for freehand 3D ultrasound. ISBI 2002: 985-988
Coauthor Index
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