Papers and Proceedings


Sections:
  1. Submitted papers and preprints
  2. Journal papers
  3. Proceedings in international conferences
  4. Proceedings in national conferences

Submitted papers and preprints

Thoreau R., Risser L., Achard V., Berthelot B., Briottet X.: p3VAE: a physics-integrated generative model. Application to the pixel-wise classification of airborne hyperspectral images. Submitted (arXiv, GitHub)

Jourdan F., Béthune L., Picard A., Risser L., Asher N.: TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability. Submitted (arXiv)

Brotto R.D.B., Loubes J.-M., Risser L., Florens J.-P., Nose-Filho K., Romano J.M.T.: Debiasing Machine Learning Models by Using Weakly Supervised Learning. Submitted

Viala E., Dupouy P.-E., Riviere N., Risser L.: Depth estimation from GmAPD cameras through sparse deconvolution. Submitted

Journal papers

De Lara L., Gonzalez-Sanz A., Risser L., Asher N., Loubes J.M.: Transport-based Counterfactual Models. Accepted for publication in the Journal of Machine Learning Research (JMLR) (link, arXiv), 2024.

Thoreau R., Risser L., Achard V., Berthelot B., Briottet X.: Toulouse Hyperspectral Data Set: A benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques. ISPRS Journal of Photogrammetry and Remote Sensing (link), 2024

Bachoc F., Gamboa F., Halford M., Loubes J.M., Risser L.: Entropic Variable Projection for Model Explainability and Interpretability. Information and Inference: A Journal of the IMA (link, arXiv, GitHub), 2023

Risser L., Picard A.M., Hervier L., Loubes J.-M.: Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms (html, pdf), 2023.

Viala E., Dupouy P.-E., Riviere N., Risser L.: Compressive sensing for 3D-LiDAR imaging: a pipeline to increase resolution of simulated single-photon camera. Journal of Quantitative Spectroscopy and Radiative Transfer (link), 2023.

Scardigli A., Risser L., Haddouche C., Jatiault R.: Integrating unordered time-frames in neural networks: Application to the detection of natural oil slicks in satellite images. IEEE Geoscience and Remote Sensing Magazine (link), 2023

Pons R., Risser L.: Legal Evidence and Artificial Intelligence Systems (Preuve Juridique et Systèmes d'Intelligence Artificielle). Book chapter in Artificial Intelligence Law: Between Sectoral Rules and Comprehensive Regime.. Bruylant editions. (English version of the book), (French version of the book), 2023.

Jourdan F., Tshiongo Kaninku T., Asher N., Loubes J.M., Risser L.: How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Algorithms (html, pdf, arXiv, GitHub), 2023.

Risser L., Loubes J.M.: [In French] Quelle confiance accorder à une décision prise par une intelligence artificielle ? (Which trust should be put to A.I. decisions?). L'usine Nouvelle. (link), 2023.

Risser L., Gonzalez Sanz A., Vincenot Q., Loubes J.M.: Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. Journal of Mathematical Image Vision (link, arXiv, GitHub), 2022

Thoreau R., Achard V., Risser L., Berthelot B., Briottet X.: Active Learning for Hyperspectral Image Classification: a Comparative Review. IEEE Geoscience and Remote Sensing Magazine (link), 2022

Besse P., Del Barrio E., Gordaliza P., Loubes J.-M., Risser L.: A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set (link, notebook), The American Statistician, 2022

Pons R. and Risser L.: [In French] Biais et discriminations dans les systèmes d'intelligence artificielle (Bias and discriminations in Artificial Intelligence Systems), Dalloz IP/IT, (French journal in digital law), 2, pp 75--79, 2022

Jager E., Risser L., Mescam M., Fonta C., Beaudet A.: Sulci 3D mapping from human cranial endocasts: a powerful tool to study hominin brain evolution. Human Brain Mapping (link), 2022

Bornert F., Clauss F., Hua G., Idoux-Gillet Y., Keller L., Fernandez De Grado G., Offner D., Smaida R., Wagner Q., Fioretti F., Kuchler-Bopp S., Schulz G., Wenzel W., Gentile L., Risser L., Müller B., Huck O., Benkirane-Jessel N.: Mechanistic Illustration: How Newly-Formed Blood Vessels Stopped by the Mineral Blocks of Bone Substitutes Can Be Avoided by Using Innovative Combined Therapeutics. Biomedicines 9(8), 952 (link), 2021

Champion C., Brunet A.C., Burcelin R., Loubes J.M., Risser L.: Detection of representative variables in complex systems with interpretable rules using CORE-clusters Algorithms (link, sourceforge), 2021

Grossiord E., Risser L., Trouillard T., Kanoun S., Aziza R., Chiron H., Ysebaert L., Malgouyres F., Ken S.: Semi-automatic segmentation of whole-body images in longitudinal studies Biomedical Physics and Engineering Express, (link), 2020.

Vialard F.X., Risser L.: Spatially adaptive metrics for diffeomorphic image matching in LDDMM. Book chapter in Riemannian Geometric Statistics in Medical Image Analysis (Pennec X., Sommer S., Fletcher T.) (link), 2019.

Bui T.T.T., Loubes J.M., Risser L., Balaresque P.: Distribution regression model with a Reproducing Kernel Hilbert Space approach. Communications in Statistics -- Theory and Methods (link), 2019.

Braga J., Samir C., Risser L., Dumoncel J., Descouens D., Thackeray J.F., Balaresque P., Oettle A., Loubes J.M., Fradi A.: Cochlear shape reveals that the human organ of hearing is sex-typed from birth. Nature - Scientific Reports (link), 2019.

De Jager E.J., Van Schoor A.N., Hoffman J.W., Oettlé A.C., Fonta C., Mescam M., Risser L., Beaudet A.: Sulcal pattern variation in extant human endocasts. Journal of Anatomy (link), 2019.

Costa M., Gadat S., Gonnord P., Risser L.: Cytometry inference through adaptive atomic deconvolution. Journal of Nonparametric Statistics (link), 2019.

Risser L., Sadoun A., Mescam M., Strelnikov K., Lebreton S., Boucher S., Girard P., Vayssière N., Rosa M.G.P., Fonta C. In vivo localization of cortical areas using a 3D computerized atlas of the marmoset brain. Brain Structure and Function (link), 2019.

Roque T., Risser L., Kersemans V., Smart S., Allen D., Kinchesh P., Gilchrist S., Gomes A., Schnabel J.A., Chappell M.: A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumour Growth. IEEE Transactions on Medical Imaging, (link), 2018

Gadat S., Gavra I., Risser L.: How to calculate the barycenter of a weighted graph. Informs: Mathematics of Operations Research, 43(4) (link, sourceforge), 2018

Braga J., Bouvier P., Dherbey J. R., Balaresque P., Risser L., Loubes J.-M., Dumoncel J., Duployer B., Tenailleau C.: Echoes from the past: new insights into the early hominin cochlea from a phylo-morphometric approach. Comptes Rendus Palevol, 2017

Schmah T., Risser L., Vialard F.X.: Diffeomorphic image matching with left-invariant metrics. Book chapter in Fields Institute Communications 73 - Geometry, Mechanics, and Dynamics: The Legacy of Jerry Marsden (book), 2015

Ribes S., Didierlaurent D., Decoster N., Gonneau E., Risser L., Feillel V. and Caselles O.: Automatic segmentation of breast MR images through a Markov random field statistical model. IEEE Transactions on Medical Imaging (link), 2014

Papiez B.W., Heinrich M.P., Fehrenbach J., Risser L., Schnabel J.A.: An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Analysis (link), 2014

Fiot J.B., Raguet H., Risser L., Cohen L.D., Fripp J., Vialard F.X., ADNI: Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression. NeuroImage: Clinical, 2014 (link).

Vincent T., Badillo S., Risser L., Chaari L., Bakhous C., Forbes F., Ciuciu P.: Flexible multivariate hemodynamics fMRI data analyses and simulations with PyHRF. Frontiers in Neuroscience. DOI:10.3389/fnins.2014.00067, 2014 (link)

Cifor A., Risser L., Chung D., Anderson E.M., Schnabel J.A.: Hybrid Feature-based Diffeomorphic Registration for Tumour Tracking in 2-D Liver Ultrasound Images. IEEE Transactions on Medical Imaging, 2013 (link).

Baluwala H.Y., Risser L., Schnabel J.A., Saddi K.A.: Towards a Physiologically Motivated Registration of Diagnostic CT and PET/CT of Lung Volumes. Medical Physics 40(02), 2013 (link).

Risser L., Vialard F.X., Baluwala H.Y., Schnabel J.A.: Piecewise-Diffeomorphic Image Registration: Application to the Motion Estimation between 3D CT Lung Images with Sliding Conditions Medical Image Analysis 2012, (link).

Bruveris M., Risser L., Vialard F.X.: Mixture of Kernels and Iterated semidirect Product of Diffeomorphisms Groups. SIAM Multiscale Modeling and Simulation 10 (4), pp: 1344-1368, 2012, (link).

Guibert R., Fonta C., Risser L., Plouraboué F.: Coupling and robustness of intra-cortical vascular territories NeuroImage. 62(1) (link).

Vialard F.X., Risser L., Rueckert D., Holm D.: Diffeomorphic Atlas Estimation using Geodesic Shooting on Volumetric Images Annals of the British Machine Vision Association, 2012, (link).

Risser L., Vialard F.X., Wolz R., Murgasova M., Holm D., Rueckert D., ADNI: Simultaneous Multiscale Registration using Large Deformation Diffeomorphic Metric Mapping. IEEE Transactions on Medical Imaging DOI: 10.1109/TMI.2011.2146787, 2011, (link).

Vialard F.X., Risser L., Rueckert D., Cotter C.J.: Diffeomorphic 3D Image Registration via Geodesic Shooting using an Efficient Adjoint Calculation. International Journal of Computer Vision DOI: 10.1007/s11263-011-0481-8, 2011, (link).

Risser L., Vincent T., Forbes F., Idier J., Ciuciu P. Min-max extrapolation scheme for fast estimation of 3D Potts field partition functions. Application to the joint detection-estimation of brain activity in fMRI. Journal of Signal Processing Systems. 60(1), DOI:10.1007/s11265-010-0505-6, 2010 (link)

Ciuciu P., Vincent T., Risser L., Donnet S. A joint detection-estimation framework for analysing within-subject fMRI data. Journal de la Société Française de Statistique. 151(1):58-89, 2010 (link)

Vincent T., Risser L., Ciuciu P., Idier J. Unsupervised spatial mixture modelling for within-subject analysis of fMRI data. IEEE Transactions on Medical Imaging 29(4):1059-1075, 2010 (link)

Risser L., Plouraboué F., Cloetens P., Fonta C. A 3D-investigation shows that angiogenesis in primate cerebral cortex mainly occurs at capillary level. International Journal of Developmental Neuroscience. 27(2), pp. 185-196, 2008, (link).

Risser L., Plouraboué F., Descombes X. Gap Filling in Vessel Networks by Skeletonization and Tensor Voting. IEEE Transactions on Medical Imaging. 27(5), pp. 674-687, 2008, (link).

Risser L., Plouraboué F., Steyer A., Cloetens P., Le Duc G, Fonta C. From homogeneous to fractal normal and tumorous micro-vascular networks in the brain. Journal of Cerebral Blood Flow and Metabolism. 27, pp. 293-303, May 2006, (link).

Proceedings in international conferences

Kheil Z., Risser L., Ken S.: Deep-learning deformable image registration for 4DCT/3DMRI label propagation. ESTRO, Glasgow, United Kingdom, 2024.

Jourdan F., Picard A.M., Fel T., Risser L., Loubes J.-M., Asher N.: COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP (arXiv). ACL findings, Toronto, Canada, 2023.

Jourdan F., Risser L., Loubes J.-M., Asher N.: Are fairness metric scores enough to assess discrimination biases in machine learning? ACL workshop TrustNLP (link), Toronto, Canada, 2023.

Viala E., Dupouy P.-E., Riviere N., Risser L.: Lateral-resolution enhancement of low-photon 3D-LiDAR by compressive sensing. Proceedings SPIE Volume 12512: SPIE Defense and Commercial Sensing (link), 2023, Orlando, Florida, United States

Jourdan F., Pons R., Asher N., Loubes J.-M., Risser L.: Is a fairness metric score enough to assess discrimination biases in machine learning? European Workshop on Algorithmic Fairness (EWAF'23), Winterthur, Switzerland, 2023.

Jourdan F., Tshiongo-Kaninku T., Asher N., Loubes J.-M., Risser L.: Breaking bias: How optimal transport can help to tackle gender biases in NLP based job recommendation systems? European Workshop on Algorithmic Fairness (EWAF'23), Winterthur, Switzerland, 2023.

Thoreau R., Achard V., Risser L., Berthelot B., Briottet X.: Probabilistic breaking tie: An active learning strategy to leverage class hierarchy for impervious surfaces classification (code, paper) IEEE Whispers'22, Rome, Italy, 2022.

Thoreau R., Achard V., Risser L., Berthelot B., Briottet X.: Active Learning on Large Hyperspectral Datasets: a preprocessing method. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS'22) (link), Nice, France, 2022.

Grossiord E., Risser L., Ken S., Kanoun S., Malgouyres F.: Learning optimal shape representations for multi-modal image registration. IEEE International Symposium on Biomedical Imaging (ISBI'20) (link), Iowa city, 2020.

Risser L., Ken S., Lebreton S., Grossiord E., Kanoun S., Malgouyres F.: Regularized Multi-Label Fast Marching and Application to Whole-Body Image Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI'18), Washington (DC), 2018.

Fort G., Risser L., Atchadé Y., Moulines E.: Stochastic FISTA algorithms: so fast? IEEE Statistical Signal Processing Workshop (SSP'18), Freiburg, Germany, 2018.

Schmidt E.A., Maarek O. Despres J. Verdier M., Risser L.: ICP: From Correlation to Causation. Acta Neurochirurgica Supplement, Vol. 126, Intracranial Pressure & Neuromonitoring XVI, Boston (MA), 2017, (link).

Bates R., Risser L., Irving B., Papiez B., Kannan P., Kersemans V., Schnabel J.A.: Filling Large Discontinuities in 3D Vascular Networks using Skeleton- and Intensity-based Information. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'15) - LNCS. Munich, 2015, (link).

Vialard F.X., Risser L.: Spatially-varying metric learning for diffeomorphic image registration. A variational framework. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'14) - LNCS. Boston, 2014, (link).

Risser L., Dolius L., Fonta C., Mescam M.: Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14). Chicago, 2014, (link).

Schmah T., Risser L., Vialard F.X.: Left-invariant metrics for diffeomorphic image registration with spatially-varying regularisation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'13) - LNCS. Nagoya, 2013, (link).

Papiez B.W., Heinrich M.P., Risser L., Schnabel J.A.: Complex lung motion estimation via adaptive bilateral filtering of the deformation field. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'13) - LNCS (Papiez B.W. received a Young Scientist award for this paper). Nagoya, 2013, (link).

Cifor A., Risser L., Heinrich M.P., Chung D., Schnabel J.A.: Rigid registration of untracked freehand 2D ultrasound sweeps to 3D CT of liver tumours MICCAI Workshop on Computational and Clinical Applications in Abdominal Imaging (MICCAI-ABDI'13) - LNCS. Nagoya, 2013.

Fiot J.B., Risser L., Cohen L., Fripp J., Vialard F.X.: Local vs global descriptors of hippocampus shape evolution for Alzheimer's longitudinal population analysis MICCAI Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data (MICCAI-STIA'12) - LNCS. Nice, 2012.

Risser L., Heinrich M.P., Matin T., Schnabel J.A.: Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions IEEE International Symposium on Biomedical Imaging (ISBI'12). Barcelona, 2012, (link).

Cifor A., Risser L., Chung D., Anderson E.M., Schnabel J.A.: Hybrid feature-based Log-demons registration for tumour tracking in 2-D liver ultrasound images IEEE International Symposium on Biomedical Imaging (ISBI'12). Barcelona, 2012, (link).

Bhushan M., Schnabel J.A., Heinrich M.P., Risser L., Brady M., Jenkinson M.: Motion Correction and Parameter Estimation in dceMRI sequences: Application to Colorectal Cancer. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'11) - LNCS. Toronto, 2011, (link).

Risser L., Baluwala H. Schnabel J.A.: Diffeomorphic registration with sliding conditions: Application to the registration of lungs CT images. International Conference on Medical Image Computing and Computer Assisted Intervention - Worshop on Pulmonary Image Analysis (MICCAI-PIA'11). Toronto, 2011.

Risser L., Heinrich M.P., Rueckert D., Schnabel J.A.: Multi-modal diffeomorphic registration using mutual information: Application to the registration of CT and MR pulmonary images. International Conference on Medical Image Computing and Computer Assisted Intervention - Worshop on Pulmonary Image Analysis (MICCAI-PIA'11). Toronto, 2011.

Risser L., Vialard F.X., Serag A., Aljabar P., Rueckert D.: Construction of Diffeomorphic Spatio-temporal Atlases using Kärcher means and LDDMM: Application to Early Cortical Development International Conference on Medical Image Computing and Computer Assisted Intervention - Worshop on Image Analysis of Human Brain Development (MICCAI-IAHBD'11). Toronto, 2011.

Vialard F.X., Risser L., Holm D.D., Rueckert D.: Diffeomorphic Atlas Estimation using Kärcher Mean and Geodesic Shooting on Volumetric Images. Medical Image Understanding and Analysis (MIUA'11). (Top ranked paper) London, 2011, (link)..

Risser L., Vialard F.X., Wolz R., Holm D., Rueckert D. Simultaneous Fine and Coarse Diffeomorphic Registration: Application to the Atrophy Measurement in Alzheimer's Disease. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'10) - Lecture Notes in Computer Science. Beijing, 2010, (link).

Zhang D.P., Risser, L., Vialard F.X., Friman O., Neefjes L., Mollet N., Niessen W., Rueckert D. Coronary Motion Estimation Using Probability Atlas and Diffeomorphic Registration from CTA. International Workshop on Medical Imaging and Augmented Reality (MIAR'10) - Lecture Notes in Computer Science Beijing, 2010.

Risser L., Vialard F.X., Murgasova M., Holm D., Rueckert D. Large Diffeomorphic Registration using Fine and Coarse Strategies. Application to the brain growth characterization. International Workshop on Biomedical Image Registration (WBIR'10) - Lecture Notes in Computer Science 6204, pp. 186--197. Lübeck, 2010.

Zhang D.P., Risser, L., Friman O., Neefjes L., Mollet N., Niessen W., Rueckert D. Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA. International Workshop on Biomedical Image Registration (WBIR'10) - Lecture Notes in Computer Science. Lübeck, 2010.

Zhang D.P., Risser L., Metz C., Mollet N.R., Niessen W., Rueckert D. Coronary artery motion modeling from 3D cardiac CT sequences. IEEE International Symposium on Biomedical Imaging (ISBI'10). Rotterdam, 2010, (link).

Risser L., Vincent T., Forbes F., Idier J., Ciuciu P. How to deal with brain deactivation in the joint detection-estimation framework? Human Brain Mapping (HBM'10) - Top ranked abstract, Barcelona, Spain, June 2010.

Risser L., Idier J., Ciuciu P. Extrapolation schemes for fast ISING field partition functions estimation. IEEE International Conference on Image Processing (ICIP'09). Cairo, Egypt, November 2009.

Risser L., Vincent T., Ciuciu P., Idier J., Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis Internatinal Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'09). London, UK, September 2009, (link).

Risser L., Vincent T., Ciuciu P. Extrapolation Scheme For Fast 3D Ising Field Partition Function Estimation. Application to Bayesian Analysis of Within Subject fMRI Data. Human Brain Mapping (HBM'09).

Vincent T., Risser L., Ciuciu P. Spatially adaptive mixture modeling for analysis of fMRI time series. Human Brain Mapping (HBM'09).

Fouque A.L., Ciuciu P., Risser L. Multivariate spatial Gaussian mixture modeling for statistical clustering of hemodynamic parameters in functional MRI. International Conference on Acoustics, Speech, and Signal Processing (ICASSP'09). Taiwan, April 2009

Risser L., Plouraboué F., Descombes X. Vascular network topology extraction from 3D high resolution X-ray images using tensor voting. 3rd International Conference on Approximation Methods and numerical Modeling in Environment and Natural Resources (MAMERN). Pau, France, 2009

Risser L., Ciuciu P., Aso T., Le Bihan D. Brain activation detection using diffusion-weighted and BOLD fMRI: a comparative study. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'08). Workshop on Computational Diffusion MRI. New York, September 2008

Risser L., Plouraboué F., Fonta C. Angiogenesis in brain : a comparative study of local and organizational vascular structures. Neuroscience'08. Washington, USA, 2008.

Risser L., Plouraboué F., Fonta C. Micro-vascular maturation in cerebral cortex: a quantitative high resolution study. Forum of European Neuroscience. Geneva, Switzerland, 2008.

Risser L., Plouraboué F., Fonta C., Steyer A. Cortical micro-vascular inhomogeneities: a high resolution 3D investigation 13th Annual Meeting of the Organization for Human Brain Mapping (HBM). Chicago, USA, 2007.

Risser L., Plouraboué F., Descombes X. Gap Filling in D Vessel Like Patterns with Tensor Voting. 2nd International Conference On Computer Vision Theory and Applications (VISAPP). Barcelona, Spain, 2007.

Risser L., Plouraboué F., Cloetens P., Steyer A., Fonta C. Maturation of marmoset cortical cerebral vascular networks : high-resolution 3D investigations. 35th annual meeting Society for Neuroscience. Washington, DC, 2005, 370.17.

Risser L., Plouraboué F., Cloetens P., Steyer A, Leduc G., Renaud L., Fonta C. Normal and tumoral cerebral vascular networks: high resolution 3D investigations. Novel targeting drugs and radiotherapy. Toulouse, France, 2005, p39

Fonta C., Risser L., Plouraboué F., Renaud L., Cloetens P., Steyer A. X-Ray high resolution vascular network analysis in the cerebral cortex. 4th Forum of European Neuroscience. Lisboa, Portugal, 2004, AO17.8

Proceedings in national conferences

C. Champion, R. Burcelin, J.-M. Loubes, L. Risser: A new package CORE-Clust for robust and scalable analysis of complex data. Proceedings of Journées de Statistique de la SFdS, Paris, France, 2018.

Fort G., Risser L., Moulines E, Ollier E., Samson A.: Algorithmes Gradient-Proximaux Stochastiques. GRETSI 2017. Juan-les-Pins, France, 2017, (link).

Risser L., Vincent T., Ciuciu P., Idier J., Schémas d'extrapolation de fonctions de partition de champs de Potts. Application à l'analyse d'image en IRM fonctionnelle. Groupe de Recherche et d'Etudes du Traitement du Signal (GRETSI'09). Dijon, France, September 2009

Fouque A.L., Ciuciu P., Risser L., Vincent T. Mélanges spatiaux gaussiens multivariés pour la classification de paramètres hémodynamiques en IRM fonctionnelle Groupe de Recherche et d'Etudes du Traitement du Signal (GRETSI'09). Dijon, France, September 2009

Risser L., Plouraboué F., Fonta C., Cloetens P., Steyer A. Volumes élémentaires représentatifs dans les réseaux microvasculaires. 7èmes Journées d'Etude sur les Milieux Poreux. Bordeaux, France, 2005.