, Refereed national journal papers, Papers submitted to journals

T. Roque, L. Risser, V. Kersemans, S. Smart, D. Allen et al., A DCE-MRI driven 3-d reaction-diffusion model of solid tumour growth, IEEE Transactions on Medical Imaging, vol.37, issue.3, pp.712-735, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01702015

S. Gadat, I. Gavra, L. Risser, ;. S. Ribes, D. Didierlaurent et al., Automatic segmentation of breast MR images through a markov random field statistical model, Informs: Mathematics of Operations Research, 2014.

B. W. Papiez, M. P. Heinrich, J. Fehrenbach, L. Risser, and J. A. Schnabel, An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration, Medical Image Analysis, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02022525

J. Mirebeau, J. Fehrenbach, L. Risser, and S. Tobji, Anisotropic Diffusion in ITK, The Insight Journal, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01121511

J. B. Fiot, H. Raguet, L. Risser, L. D. Cohen, J. Fripp et al., Longitudinal deformation models, spatial regularizations and learning strategies to quantify alzheimer's disease progression, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01100393

T. Vincent, S. Badillo, L. Risser, L. Chaari, C. Bakhous et al., Flexible multivariate hemodynamics fMRI data analyses and simulations with pyhrf, Echoes from the past: new insights into the early hominin cochlea from a phylomorphometric approach. Comptes Rendus Palevol, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01084249

P. Ciuciu, T. Vincent, L. Risser, S. Donnet, ;. I. Gavra et al., A joint detectionestimation framework for analysing within-subject fMRI data, Journal de la Société Française de Statistique, vol.151, issue.1, pp.58-89, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00703158

T. Bui, J. Loubes, L. Risser, and P. Balaresque, Distribution regression model with a Reproducing Kernel Hilbert Space approach, The Canadian Journal of Statistics
URL : https://hal.archives-ouvertes.fr/hal-01824022

E. J. De-jager, A. N. Van-schoor, J. W. Hoffman, A. C. Oettlé, C. Fonta et al., Beaudet Sulcal pattern variation in extant human endocasts, Journal of Anatomy

L. Keller, Q. Wagner, D. Offner, M. Pugliano, Y. Arntz et al., Benkirane-Jessel Synergic therapeutic effect of mesenchymal stem cells together with angiogenic nanocontainers as a new strategy to vascularize bone substitutes

L. Risser, A. Sadoun, M. Mescam, K. Strelnikov, S. Lebreton et al., vivo probabilistic location of cortical areas in a 3D atlas of the marmoset brain. Brain Structure and Function

M. Costa, S. Gadat, P. Gonnord, and L. Risser, Cytometry inference through adaptive atomic deconvolution, Journal of Nonparametric Statistics
URL : https://hal.archives-ouvertes.fr/hal-01613723

, Books and book chapters

T. Schmah, L. Risser, and F. X. Vialard, Diffeomorphic image matching with left-invariant metrics, Fields Institute Communications 73-Geometry, Mechanics, and Dynamics: The Legacy of Jerry Marsden, 2015.
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L. Risser, Analyse quantitative de réseaux micro-vasculaires intra-corticaux, 2007.

F. X. Vialard and L. Risser, Spatially varying metrics for LDDMM. Riemannian Geometric Statistics in Medical Image Analysis (submitted)

L. Risser, S. Ken, S. Lebreton, E. Grossiord, S. Kanoun et al., Regularized multi-label fast marching and application to wholebody image segmentation, Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01702039

G. Fort, L. Risser, Y. Atchadé, and E. Moulines, Stochastic fista algorithms: so fast?, Proceedings of IEEE Statistical Signal Processing Workshop (SSP), 2018.

E. A. Schmidt, O. Maarek, J. Despres, M. Verdier, and L. Risser, Icp: From correlation to causation, Intracranial Pressure & Neuromonitoring XVI, pp.167-171, 2018.

R. Bates, L. Risser, B. Irving, B. Papiez, P. Kannan et al., Filling large discontinuities in 3d vascular networks using skeleton-and intensity-based information, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.
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L. Risser, L. Dolius, C. Fonta, and M. Mescam, Diffeomorphic registration with self-adaptive spatial regularization for the segmentation of non-human primate brains, Proceedings of International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014.
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F. X. Vialard and L. Risser, Spatially-varying metric learning for diffeomorphic image registration. a variational framework, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.
URL : https://hal.archives-ouvertes.fr/hal-02022533

T. Schmah, L. Risser, and F. X. Vialard, Left-invariant metrics for diffeomorphic image registration with spatially-varying regularisation, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013.
URL : https://hal.archives-ouvertes.fr/hal-00869476

B. W. Papiez, M. P. Heinrich, L. Risser, and J. A. Schnabel, Complex lung motion estimation via adaptive bilateral filtering of the deformation field, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013.
URL : https://hal.archives-ouvertes.fr/hal-00869475

A. Cifor, L. Risser, M. P. Heinrich, D. Chung, and J. A. Schnabel, Rigid registration of untracked freehand 2d ultrasound sweeps to 3d CT of liver tumours, Proceedings of MICCAI Workshop on Computational and Clinical Applications in Abdominal Imaging (MICCAI-ABDI), 2013.
URL : https://hal.archives-ouvertes.fr/hal-00869471

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

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