X. Pennec

发表

Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2007, SIAM J. Matrix Anal. Appl..

Log‐Euclidean metrics for fast and simple calculus on diffusion tensors

N. Ayache, V. Arsigny, P. Fillard, 2006, Magnetic resonance in medicine.

Fast and Simple Computations on Tensors with Log-Euclidean Metrics.

N. Ayache, V. Arsigny, P. Fillard, 2005 .

Statistical models of sets of curves and surfaces based on currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2009, Medical Image Anal..

Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics

N. Ayache, V. Arsigny, P. Fillard, 2007 .

Generation of a Statistical Shape Model with Probabilistic Point Correspondences and EM-ICP

N. Ayache, J. Ehrhardt, H. Handels, .

Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements

Xavier Pennec, X. Pennec, 2006, Journal of Mathematical Imaging and Vision.

Probabilities and Statistics on Riemannian Manifolds : A Geometric approach

X. Pennec, 2004 .

Computing the Mean of Geometric Features Application to the Mean Rotation

X. Pennec, 1998 .

Toward a generic framework for recognition based on uncertain geometric features

X. Pennec, 1998 .

Landmark-based registration using features identified through differential geometry

N. Ayache, X. Pennec, J. Thirion, 2000 .

Measuring brain variability by extrapolating sparse tensor fields measured on sulcal lines

Paul M. Thompson, Nicholas Ayache, Kiralee M. Hayashi, 2007, NeuroImage.

Exponential Barycenters of the Canonical Cartan Connection and Invariant Means on Lie Groups

V. Arsigny, X. Pennec, 2013 .

Multimodal Image Registration by Maximization of the Correlation Ratio

N. Ayache, G. Malandain, X. Pennec, 1998 .

Capturing the multiscale anatomical shape variability with polyaffine transformation trees

Xavier Pennec, Mauricio Reyes, Christof Seiler, 2012, Medical Image Anal..

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Alejandro F. Frangi, Kawal S. Rhode, Daniel Rueckert, 2013, Medical Image Anal..

Towards a Statistical Atlas of Cardiac Fiber Structure

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2006, MICCAI.

AN INTERACTIVE INTENSITY-AND FEATURE-BASED NON-RIGID REGISTRATION FRAMEWORK FOR 3 D MEDICAL IMAGES

N. Ayache, X. Pennec, A. Azar, 2005 .

3D non-rigid registration by gradient descent on a Gaussian-windowed similarity measure using convolutions

X. Pennec, P. Cachier, X. Pennec, 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).

Groupwise Spectral Log-Demons Framework for Atlas Construction

Leo Grady, Nicholas Ayache, Farida Cheriet, 2012, MCV.

Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration

Xavier Pennec, Sébastien Granger, X. Pennec, 2002, ECCV.

Rigid Point-Surface Registration using Oriented Points and an EM Variant of ICP for Computer Guided

X. Pennec, A. Roche, S. Granger, 2001 .

Bi-invariant Means in Lie Groups. Application to Left-invariant Polyaffine Transformations

N. Ayache, V. Arsigny, X. Pennec, 2006 .

DTI registration with exact finite-strain differential

Olivier Clatz, Nicholas Ayache, B. T. Thomas Yeo, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions

Hervé Delingette, Luc Soler, Nicholas Ayache, 2006, Proceedings of the IEEE.

DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential

Olivier Clatz, Nicholas Ayache, B. T. Thomas Yeo, 2009, IEEE Transactions on Medical Imaging.

A Global Criterion for the Computation of Statistical Shape Model Parameters Based on Correspondence Probabilities

Nicholas Ayache, Xavier Pennec, Heinz Handels, 2008, Bildverarbeitung für die Medizin.

Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2011, MICCAI.

A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments

Hervé Delingette, Nicholas Ayache, Xavier Pennec, 2019, NeuroImage.

Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images

Alzheimer's Disease Neuroimaging Initiative, N. Ayache, X. Pennec, 2015, Neurobiology of Aging.

Barycentric subspace analysis on manifolds

X. Pennec, 2016, The Annals of Statistics.

An Incompressible Log-Domain Demons Algorithm for Tracking Heart Tissue

Maxime Sermesant, Xavier Pennec, Tommaso Mansi, 2011, STACOM.

Augmented Reality guided radio-frequency tumor ablation

N. Ayache, X. Pennec, L. Soler, 2003 .

Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the "Demons" Algorithm

N. Ayache, X. Pennec, P. Cachier, 1999 .

A Riemannian Framework for Tensor Computing

Xavier Pennec, Pierre Fillard, Nicholas Ayache, 2005, International Journal of Computer Vision.

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy: 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Paul M. Thompson, Carl-Fredrik Westin, Jingwen Yan, 2019, MBIA/MFCA@MICCAI.

Virtual reality and augmented reality in digestive surgery

Luc Soler, Jérôme Schmid, Nicholas Ayache, 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

A multisubject anatomo-functional parcellation of the brain

Nicholas Ayache, William D. Penny, Jean-Baptiste Poline, 2003 .

MEDINRIA : DT-MRI PROCESSING AND VISUALIZATION SOFTWARE

P. Fillard, X. Pennec, N. Toussaint, 2006 .

Statistical Computing on Non-Linear Spaces for Computational Anatomy

Xavier Pennec, Pierre Fillard, P. Fillard, 2015 .

A novel family of geometrical transformations: Polyrigid transformations. Application to the registration of histological slices

V. Arsigny, X. Pennec, 2003 .

Comparison of the endocranial ontogenies between chimpanzees and bonobos via temporal regression and spatiotemporal registration.

A. Trouvé, N. Ayache, X. Pennec, 2012, Journal of human evolution.

radio-frequency tumour ablation

N. Ayache, X. Pennec, L. Soler, 2005 .

Computation of a probabilistic statistical shape model in a maximum-a-posteriori framework.

N. Ayache, J. Ehrhardt, H. Handels, 2009, Methods of information in medicine.

Joint Estimation and Smoothing of Clinical DT-MRI with a Log-Euclidean Metric

N. Ayache, V. Arsigny, P. Fillard, 2005 .

MOTEUR: a data-intensive service-based workflow manager

X. Pennec, J. Montagnat, D. Lingrand, 2006 .

Assessment of brace local action on vertebrae relative poses.

N. Ayache, X. Pennec, F. Cheriet, 2006, Studies in health technology and informatics.

Statistics on Diffeomorphisms in a Log-Euclidean Framework

N. Ayache, O. Commowick, V. Arsigny, 2006 .

Left-Invariant Riemannian Elasticity: a distance on shape diffeomorphisms ?

X. Pennec, 2006 .

A novel framework for the 3D analysis of spine deformation modes.

N. Ayache, X. Pennec, F. Cheriet, 2006, Studies in health technology and informatics.

Comparison of Standard and Riemannian Fluid Registration for Tensor-Based Morphometry in HIV/AIDS

A. Toga, P. Thompson, J. Becker, 2007 .

Evaluating Brain Anatomical Correlations via Canonical Correlation Analysis of Sulcal Lines

P. Thompson, N. Ayache, P. Fillard, 2007 .

Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations - Application to the registration of histological slices

Nicholas Ayache, Xavier Pennec, Vincent Arsigny, 2005, Medical Image Anal..

Comparing algorithms for diffeomorphic registration: Stationary LDDMM and Diffeomorphic Demons

X. Pennec, Monica Hernandez, S. Gassó, 2009 .

Barycentric subspace analysis on manifolds

X. Pennec, 2016, The Annals of Statistics.

Advances in Geometric Statistics for Manifold Dimension Reduction

X. Pennec, 2020, Handbook of Variational Methods for Nonlinear Geometric Data.

Manifold-valued image processing with SPD matrices

Xavier Pennec, X. Pennec, 2020, Riemannian Geometric Statistics in Medical Image Analysis.

Curvature effects on the empirical mean in Riemannian and affine Manifolds: a non-asymptotic high concentration expansion in the small-sample regime

Xavier Pennec, X. Pennec, 2019, 1906.07418.

Barycentric Subspaces Analysis on Spheres

X. Pennec, 2015 .

Curve- and surface-based registration of lung CT images via currents

Stanley Durrleman, Xavier Pennec, Pechin Lo, 2009 .

Geodesic of the Quotient-Affine Metrics on Full-Rank Correlation Matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2021, 2103.04621.

Atlas to Image-with-Tumor Registration Based on Demons and Deformation Inpainting

Xavier Pennec, Hans Lamecker, X. Pennec, 2010, The MIDAS Journal.

Correctness and robustness of 3D rigid matching with bounded sensor error

Xavier Pennec, X. Pennec, 1993 .

A Log-Euclidean Statistical Analysis of DTI Brain Deformations

X. Pennec, A. Sweet, 2010 .

Discrete Ladders for Parallel Transport in Transformation Groups with an Affine Connection Structure

X. Pennec, Marco Lorenzi, 2014 .

LCC-Demons: a robust and accurate dieomorphic registration algorithm

Nicholas Ayache, Sophia Antipolis, Xavier Pennec, 2013 .

Document Log Chapter Date Comment / User Files Received from Chapter Section Authors Coordinators Reviewers

H. Bilofsky, X. Pennec, J. Montagnat, 2004 .

Power Euclidean metrics for covariance matrices with application to diffusion tensor imaging

Xavier Pennec, Ian L. Dryden, Jean-Marc Peyrat, 2010, 1009.3045.

New Results - Computational Anatomy

Alain Trouvé, Hervé Delingette, Maxime Sermesant, 2006 .

Geometry of Sample Spaces.

P. Michor, X. Pennec, Stefan Sommer, 2020, 2010.08039.

Multiple Sclerosis Brain MRI Segmentation Workflow deployment on the EGEE Grid

Xavier Pennec, Diane Lingrand, Javier Rojas Balderrama, 2008 .

Algorithm for 3 D Substructure Matching of Proteins

N. Ayache, X. Pennec, 1994 .

Regional ux analysis of longitudinal atrophy in Alzheimer ' s disease

N. Ayache, X. Pennec, Lorenzi Marco, 2012 .

How Successful is Successful? Aortic Arch Shape Following Successful Aortic Coarctation Repair Correlates with Left Ventricular Function

Jan L. Bruse, X. Pennec, K. Mcleod, 2016 .

Bures-Wasserstein minimizing geodesics between covariance matrices of different ranks

X. Pennec, Yann Thanwerdas, 2022, 2204.09928.

S ep 2 01 9 Exploration of Balanced Metrics on Symmetric Positive Definite Matrices

X. Pennec, Yann Thanwerdas, 2019 .

Mapping the regional in fl uence of genetics on brain structure variability — ^ A Tensor-^ Based Morphometry study

Agatha D. Lee, A. Toga, P. Thompson, 2009 .

Toward a generic framework for recognition based onuncertain geometric featuresXavier

X. Pennec, 1997 .

New Results - Medical Image Analysis

Hervé Delingette, Olivier Clatz, Ezequiel Geremia, 2009 .

A new representation of fMRI data using anatomo-functional constraints

Nicholas Ayache, Jean-Baptiste Poline, Guillaume Flandin, 2001 .

Electronic device for image registration

Nicholas Ayache, Grégoire Malandain, Alexis Roche, 1999 .

Fusing 3-D ultrasound and MRI for real-time image-guided neurosurgery

Nicholas Ayache, Xavier Pennec, Pascal Cachier, 2001 .

Medical Image Analysis on Grids

X. Pennec, C. Germain, C. Loomis, 2005 .

Voxel-based assessments of treatment effects on longitudinal brain changes in the Multidomain Alzheimer Preventive Trial cohort

V. Manera, N. Ayache, X. Pennec, 2020, Neurobiology of Aging.

Software - Yav++ Software

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2003 .

Analysis and Simulation of Biomedical Images

Johan Montagnat, Hervé Delingette, Luc Soler, 2006 .

Correlating currents-based shape parameters of the right ventricle with clinical variables: Application to tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2009 .

Contracts and Grants with Industry - Microsoft Research Award

Hervé Delingette, Olivier Clatz, Nicholas Ayache, 2009 .

From Riemannian Geometry to Computational Anatomy of the Brain

Xavier Pennec, X. Pennec, 2007, ERCIM News.

How successful is successful? Aortic arch shape after successful aortic coarctation repair correlates with left ventricular function

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2017, The Journal of thoracic and cardiovascular surgery.

A new approach for dental implant aided surgery. A pilot evaluation

Xavier Pennec, Sébastien Granger, D. Etienne, 2000 .

Medical Image registration

Xavier Pennec, X. Pennec, 2014 .

Chapter 34 – Landmark-Based Registration Using Features Identified through Differential Geometry

Nicholas Ayache, Xavier Pennec, Jean-Philippe Thirion, 2009 .

O(n)-invariant Riemannian metrics on SPD matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2021, Linear Algebra and its Applications.

Multi-subject anatomo-functional classification for activation studies

Nicholas Ayache, William D. Penny, Jean-Baptiste Poline, 2004 .

The geometry of mixed-Euclidean metrics on symmetric positive definite matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2021, Differential Geometry and its Applications.

New Results - Registration

Alain Pitiot, Luc Soler, Olivier Clatz, 2003 .

A federated system for sharing and reuse of images and image processing tools in neuroimaging

Johan Montagnat, Franck Michel, Bernard Gibaud, 2011, CARS 2011.

Looks Do Matter! Aortic Arch Shape After Hypoplastic Left Heart Syndrome Palliation Correlates With Cavopulmonary Outcomes.

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2017, The Annals of thoracic surgery.

Grid-enabling medical image analysis

Jean-Marie Moureaux, Johan Montagnat, Emmanuel Jeannot, 2005, CCGRID.

Computational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?

Nicholas Ayache, Maxime Sermesant, Xavier Pennec, 2013, European heart journal cardiovascular Imaging.

Looks do matter ! Aortic arch shape following hypoplastic left heart 2 syndrome palliation correlates with cavopulmonary outcomes 3 Running Head : Aortic arch shape analysis in HLHS

Jan L. Bruse, X. Pennec, Maxime Sermesant, 2016 .

Chapter 18 – Tumor Growth Modeling in Oncological Image Analysis

Olivier Clatz, Ender Konukoglu, Xavier Pennec, 2008 .

Theoretically and computationally convenient geometries on full-rank correlation matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2022, 2201.06282.

An Augmented Reality System to Guide Liver Punctures

Luc Soler, Nicholas Ayache, Xavier Pennec, 2003 .

Automatic Alignment of Histological Sections

Sebastien Ourselin, Xavier Pennec, Alexis Roche, 1998 .

Contracts and Grants with Industry - CNES

Xavier Pennec, Eric Bardinet, Radu Stefanescu, 2002 .

Beyond Riemannian geometry: The affine connection setting for transformation groups

X. Pennec, Marco Lorenzi, 2020 .

White paper: validation of medical image processing in image-guided therapy

J. Fitzpatrick, P. Jannin, D. Hawkes, 2002 .

Regional ux analysis of longitudinal atrophy in Alzheimer ' s disease

N. Ayache, X. Pennec, Lorenzi Marco, 2012 .

Which reorientation framework for the atlas-based comparison of cardiac image sequences ?

X. Pennec, M. D. Craene, B. Bijnens, 2012 .

by Incorporating Deformation Statistics

M. Reyes, X. Pennec, C. Seiler, 2012 .

A geometric framework for asymptotic inference of principal subspaces in PCA

X. Pennec, Dimbihery Rabenoro, 2022, 2209.02025.

Sparse Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework

M. Nielsen, X. Pennec, F. Lauze, 2013, Journal of Mathematical Imaging and Vision.

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

N. Ayache, X. Pennec, H. Delingette, 2017, Biomechanics and Modeling in Mechanobiology.

Improved Detection Sensitivity in Functional MRI Data Using a Brain Parcelling Technique

Nicholas Ayache, Grégoire Malandain, Jean-Baptiste Poline, 2002, MICCAI.

REGIONAL FLUX ANALYSIS OF LONGITUDINAL ATROPHY IN ALZHEIMER'S DISEASE

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2012, Alzheimer's & Dementia.

Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2012 .

Mapping the e ects of A β 1 − 42 levels on the longitudinal changes in healthy aging : hierarchical modeling based on stationary velocity elds

Nicholas Ayache, Xavier Pennec, Giovanni Frisoni, 2011 .

Grid-wide neuroimaging data federation in the context of the NeuroLOG project

Johan Montagnat, Franck Michel, Bernard Gibaud, 2010, HealthGrid.

4 D registration of serial brain ’ s MR images : a robust measure of changes applied to Alzheimer ’ s disease

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2010 .

4D registration of serial brain’s MR images: a robust measure of changes applied to Alzheimer’s disease

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2010 .

Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge

D. Louis Collins, Sébastien Ourselin, M. Jorge Cardoso, 2015, NeuroImage.

Proceedings of the Fourth International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Biological Shape Variability Modeling (MFCA 2013), Nagoya, Japan

Stanley Durrleman, Stefan Sommer, Mads Nielsen, 2013 .

Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2006, Medical Image Anal..

Efficient services composition for grid-enabled data-intensive applications

Johan Montagnat, Tristan Glatard, Xavier Pennec, 2006, 2006 15th IEEE International Conference on High Performance Distributed Computing.

Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons

Xavier Pennec, Mauricio Reyes, Christof Seiler, 2011, MICCAI.

Generalized Image Models and Their Application as Statistical Models of Images

Nicholas Ayache, Xavier Pennec, Marius George Linguraru, 2003, MICCAI.

Computing Bi-Invariant Pseudo-Metrics on Lie Groups for Consistent Statistics

Xavier Pennec, Nina Miolane, X. Pennec, 2015, Entropy.

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Alejandro F. Frangi, Sotirios A. Tsaftaris, Daniel Rueckert, 2018, IEEE Journal of Biomedical and Health Informatics.

Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields

Xavier Pennec, Marco Lorenzi, Nicholas Ayache, 2016, Front. Neurosci..

Reconstructing a 3D structure from serial histological sections

Sébastien Ourselin, Nicholas Ayache, Xavier Pennec, 2001, Image Vis. Comput..

Diffeomorphic demons: Efficient non-parametric image registration

Tom Vercauteren, Xavier Pennec, Aymeric Perchant, 2009, NeuroImage.

Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons

Xavier Pennec, Pamela Guevara, Pierre Fillard, 2011, MBIA.

Log-Domain Diffeomorphic Registration of Diffusion Tensor Images

Xavier Pennec, Andrew Sweet, X. Pennec, 2010, WBIR.

Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy

Xavier Pennec, X. Pennec, 2009, ETVC.

A Computational Framework for the Statistical Analysis of Cardiac Diffusion Tensors: Application to a Small Database of Canine Hearts

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2007, IEEE Transactions on Medical Imaging.

Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Fast and Simple Calculus on Tensors in the Log-Euclidean Framework

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2005, MICCAI.

A Riemannian Framework for the Processing of Tensor-Valued Images

Nicholas Ayache, Xavier Pennec, Pierre Fillard, 2005, DSSCV.

Association of Immunosuppression and Viral Load With Subcortical Brain Volume in an International Sample of People Living With HIV

Dan J Stein, Lauren E. Salminen, T. Nir, 2021, JAMA network open.

Smaller limbic structures are associated with greater immunosuppression in over 1000 HIV-infected adults across five continents: Findings from the ENIGMA-HIV Working Group

Dan J Stein, T. Nir, N. Jahanshad, 2019, bioRxiv.

Mapping the regional influence of genetics on brain structure variability — A Tensor-Based Morphometry study

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2009, NeuroImage.

Bias on estimation in quotient space and correction methods

Xavier Pennec, Nina Miolane, Loïc Devilliers, 2020, Riemannian Geometric Statistics in Medical Image Analysis.

Inconsistency of Template Estimation by Minimizing of the Variance/Pre-Variance in the Quotient Space

Alain Trouvé, Xavier Pennec, Stéphanie Allassonnière, 2017, Entropy.

Template Shape Estimation: Correcting an Asymptotic Bias pdf

Xavier Pennec, Nina Miolane, Susan P. Holmes, 2016, SIAM J. Imaging Sci..

Deformable biomechanical models: Application to 4D cardiac image analysis

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2003, Medical Image Anal..

Biomechanical Model Construction from Different Modalities: Application to Cardiac Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2002, MICCAI.

Multiple Registration and Mean Rigid Shape - Application to the 3D case

Xavier Pennec, X. Pennec, 1996 .

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Xin Yang, Pheng-Ann Heng, Peter M. Full, 2018, IEEE Transactions on Medical Imaging.

Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability

Paul M. Thompson, Nicholas Ayache, Xavier Pennec, 2005, IPMI.

Lung CT registration combining intensity, curves and surfaces

Marleen de Bruijne, Stanley Durrleman, Xavier Pennec, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

Maria A. Zuluaga, Maxime Sermesant, Xavier Pennec, 2017, IEEE Transactions on Biomedical Engineering.

Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2012 .

IMAGE-DRIVEN COMPUTATIONAL MODELS OF THE HEART FOR TETRALOGY OF FALLOT

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010 .

A Log-Euclidean Framework for Statistics on Diffeomorphisms

Nicholas Ayache, Xavier Pennec, Olivier Commowick, 2006, MICCAI.

Riemannian Geometric Statistics in Medical Image Analysis

Xavier Pennec, Tom Fletcher, Stephan Sommer, 2020 .

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2008, MICCAI.

Proceedings of the Second International Workshop on Mathematical Foundations of Computational Anatomy (MFCA'08) - Geometrical and Statistical Methods for Modelling Biological Shape Variability

Xavier Pennec, Sarang Joshi, S. Joshi, 2006 .

Inferring brain variability from diffeomorphic deformations of currents: An integrative approach

Paul M. Thompson, Alain Trouvé, Nicholas Ayache, 2008, Medical Image Anal..

A Tensor-Based Morphometry Study of Genetic Influences on Brain Structure Using a New Fluid Registration Method

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2008, MICCAI.

Clinical Evaluation of a Respiratory Gated Guidance System for Liver Punctures

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2007, MICCAI.

Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty

Xavier Pennec, Silvia Schievano, David J. Dunaway, 2017, International Journal of Computer Assisted Radiology and Surgery.

Common Brain Volume Signatures Associated with Immunosuppression and Viral Load in Over 1000 Adults Living with HIV Across 5 Continents: Findings from the ENIGMA-HIV Working Group

Dan J Stein, T. Nir, N. Jahanshad, 2019, SSRN Electronic Journal.

Non-parametric Diffeomorphic Image Registration with the Demons Algorithm

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2007, MICCAI.

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Maxime Sermesant, Xavier Pennec, Tobias Heimann, 2017, MICCAI.

Probabilities and statistics on Riemannian manifolds: Basic tools for geometric measurements

Xavier Pennec, X. Pennec, 1999, NSIP.

Parallel Transport on Kendall Shape Spaces

Xavier Pennec, Nicolas Guigui, Elodie Maignant, 2021, GSI.

A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric

X. Pennec, N. Guigui, 2021, GSI.

Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds pdf

Xavier Pennec, Nicolas Guigui, X. Pennec, 2020, Foundations of Computational Mathematics.

Medical image registration using geometric hashing

Nicholas Ayache, A. P. Gueziec, X. Pennec, 1997 .

Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease

Nicholas Ayache, Xavier Pennec, Marco Lorenzi, 2015, NeuroImage.

An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2009, Medical Image Anal..

Geometry of Sample Spaces.

P. Michor, X. Pennec, Philipp Harms, 2020, 2010.08039.

Statistical Computing on Manifolds for Computational Anatomy

Xavier Pennec, X. Pennec, 2006 .

Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models

Nicholas Ayache, Farida Cheriet, Xavier Pennec, 2006, AMDO.

A geometric algorithm to find small but highly similar 3D substructures in proteins

Nicholas Ayache, Xavier Pennec, N. Ayache, 1998, Bioinform..

Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent

Nicholas Ayache, Xavier Pennec, Pascal Cathier, 1999, MICCAI.

Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images

Miguel A. Fernández, Maxime Sermesant, Xavier Pennec, 2014, Medical Image Anal..

Comparison and evaluation of retrospective intermodality image registration techniques

Benoit M. Dawant, Colin Studholme, Robert M. Kessler, 1996, Medical Imaging.

Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2021, GSI.

Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss pdf

Hervé Delingette, Maxime Sermesant, Xavier Pennec, 2018, STACOM@MICCAI.

Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data

Guido Gerig, Alain Trouvé, Nicholas Ayache, 2013, International Journal of Computer Vision.

Mean Template for Tensor-Based Morphometry Using Deformation Tensors

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2007, MICCAI.

Geodesic squared exponential kernel for non-rigid shape registration

Xavier Pennec, Florent Jousse, Herv'e Delingette, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics

Richard McClatchey, Xavier Pennec, Peiya Liu, 2005 .

Spectral Log-Demons: Diffeomorphic Image Registration with Very Large Deformations

Leo Grady, Nicholas Ayache, Farida Cheriet, 2013, International Journal of Computer Vision.

The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 1998, MICCAI.

Improving DTI Resolution from a Single Clinical Acquisition: A Statistical Approach Using Spatial Prior

Nicholas Ayache, Xavier Pennec, Vikash Gupta, 2013, MICCAI.

Iconic feature based nonrigid registration: the PASHA algorithm

Nicholas Ayache, Xavier Pennec, Didier Dormont, 2003, Comput. Vis. Image Underst..

Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features

Jean-Francois Mangin, Nicholas Ayache, Xavier Pennec, 2001, MICCAI.

Validation of medical image processing in image-guided therapy

Ramin Shahidi, Xavier Pennec, Pierre Jannin, 2002, IEEE Transactions on Medical Imaging.

Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications

Sébastien Ourselin, Xavier Pennec, Radu Stefanescu, 2002, MICCAI.

A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales

Xavier Pennec, Stefan Sommer, Mads Nielsen, 2011, IPMI.

3D anatomical variability assessment of the scoliotic spine using statistics on Lie groups

Nicholas Ayache, Farida Cheriet, Xavier Pennec, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm

Nicholas Ayache, Xavier Pennec, Giovanni B. Frisoni, 2013, NeuroImage.

International Journal of Computer Vision Manuscript No. 10.1007/s11263-010-0405-z The final publication is available at www.springerlink.com iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2022 .

Registration of 4D Time-Series of Cardiac Images with Multichannel Diffeomorphic Demons

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2008, MICCAI.

Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2005, MICCAI.

Optimizing jobs timeouts on clusters and production grids

Tristan Glatard, Xavier Pennec, X. Pennec, 2007, Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07).

Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

Johan Montagnat, Tristan Glatard, Xavier Pennec, 2008, Int. J. High Perform. Comput. Appl..

Simulating Longitudinal Brain MRIs with Known Volume Changes and Realistic Variations in Image Intensity

Bishesh Khanal, Nicholas Ayache, Xavier Pennec, 2017, Front. Neurosci..

Geodesic of the Quotient-Affine Metrics on Full-Rank Correlation Matrices

X. Pennec, Yann Thanwerdas, 2021, 2103.04621.

Geometry of sample spaces

P. Michor, X. Pennec, Philipp Harms, 2020, Differential Geometry and its Applications.

Higher-Order Momentum Distributions and Locally Affine LDDMM Registration

Xavier Pennec, Stefan Sommer, Mads Nielsen, 2011, SIAM J. Imaging Sci..

A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta

Maxime Sermesant, Xavier Pennec, Giovanni Biglino, 2016, BMC Medical Imaging.

Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2005, MICCAI.

Grid powered nonlinear image registration with locally adaptive regularization

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2004, Medical Image Anal..

Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2001, IEEE Transactions on Medical Imaging.

Mosaicing of Confocal Microscopic In Vivo Soft Tissue Video Sequences

Nicholas Ayache, Xavier Pennec, Tom Vercauteren, 2005, MICCAI.

A Complete Augmented Reality Guidance System for Liver Punctures: First Clinical Evaluation

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2005, MICCAI.

Registration, atlas estimation and variability analysis of white matter fiber bundles modeled as currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2011, NeuroImage.

Left atrial shape is independent predictor of arrhythmia recurrence after catheter ablation for atrial fibrillation: A shape statistics study

X. Pennec, P. Jaïs, H. Cochet, 2021, Heart rhythm O2.

A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration

Nicholas Ayache, Xavier Pennec, Olivier Commowick, 2009, Journal of Mathematical Imaging and Vision.

An augmented reality system to guide radio‐frequency tumour ablation

Luc Soler, Nicholas Ayache, Stéphane Nicolau, 2005, Comput. Animat. Virtual Worlds.

A Lagrangian formulation for statistical fluid registration

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

SURFACE AND VOLUME REGISTRATION OF BRAIN MAGNETIC RESONANCE IMAGES

Paul M. Thompson, Arthur W. Toga, Yi-Yu Chou, 2009 .

Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics

Xavier Pennec, Susan P. Holmes, Christof Seiler, 2013, GSI.

Coupled level set segmentation using a point-based statistical shape model relying on correspondence probabilities

Xavier Pennec, Heinz Handels, Heike Hufnagel, 2010, Medical Imaging.

Comparison and evaluation of retrospective intermodality brain image registration techniques.

Gerald Q. Maguire, M A Viergever, D L Hill, 1997, Journal of computer assisted tomography.

Feature-Based Registration of Medical Images: Estimation and Validation of the Pose Accuracy

Xavier Pennec, Charles R. G. Guttmann, Jean-Philippe Thirion, 1998, MICCAI.

Topologically Constrained Template Estimation via Morse-Smale Complexes Controls Its Statistical Consistency

Susan Holmes, Xavier Pennec, Nina Miolane, 2018, SIAM J. Appl. Algebra Geom..

Principal subbundles for dimension reduction

X. Pennec, E. Grong, S. Sommer, 2023, ArXiv.

geomstats: a Python Package for Riemannian Geometry in Machine Learning pdf

Xavier Pennec, Claire Donnat, Nina Miolane, 2018, ArXiv.

GPU and CPU implementation of Young - Van Vliet's Recursive Gaussian Smoothing Filter

Tom Vercauteren, Xavier Pennec, Olivier Commowick, 2013, The Insight Journal.

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

M. Jorge Cardoso, Mert R. Sabuncu, Li Shen, 2017, Lecture Notes in Computer Science.

Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets

Guido Gerig, Alain Trouvé, Nicholas Ayache, 2009, MICCAI.

Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy

Xavier Pennec, Nicholas Ayache, Tom Vercauteren, 2008, The Insight Journal.

Introduction to differential and Riemannian geometry

X. Pennec, Tom Fletcher, S. Sommer, 2020, Riemannian Geometric Statistics in Medical Image Analysis.

Exploration of Balanced Metrics on Symmetric Positive Definite Matrices

Xavier Pennec, Yann Thanwerdas, X. Pennec, 2019, GSI.

Insight into Efficient Image Registration Techniques and the Demons Algorithm

Nicholas Ayache, Xavier Pennec, Ezio Malis, 2007, IPMI.

Barycentric Subspaces and Affine Spans in Manifolds

Xavier Pennec, X. Pennec, 2015, GSI.

Introduction to medical image acquisition & treatment

X. Pennec, X. Pennec, 2013 .

Geometry-Aware Multiscale Image Registration Via OBBTree-Based Polyaffine Log-Demons

M. Reyes, X. Pennec, C. Seiler, 2011 .

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Alice Le Brigant, X. Pennec, S. Holmes, 2020, ArXiv.

LogDemons Revisited: Consistent Regularisation and Incompressibility Constraint for Soft Tissue Tracking in Medical Images

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2010, MICCAI.

Comparison of the endocast growth of chimpanzees and bonobos via temporal regression and spatiotemporal registration

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2010 .

Non-rigid Atlas to Subject Registration with Pathologies for Conformal Brain Radiotherapy

Nicholas Ayache, Grégoire Malandain, Xavier Pennec, 2004, MICCAI.

Spatio-temporal Dimension Reduction of Cardiac Motion for Group-Wise Analysis and Statistical Testing

Maxime Sermesant, Xavier Pennec, Christof Seiler, 2013, MICCAI.

Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences?

Nicolas Duchateau, Mathieu De Craene, Xavier Pennec, 2012, STIA.

A Framework for Uncertainty and Validation of 3-D Registration Methods Based on Points and Frames

Xavier Pennec, Jean-Philippe Thirion, X. Pennec, 1995, Proceedings of IEEE International Conference on Computer Vision.

Registration of Uncertain Geometric Features: Estimating the Pose and its Accuracy

Xavier Pennec, X. Pennec, 1997 .

iLogDemons: A Demons-Based Registration Algorithm for Tracking Incompressible Elastic Biological Tissues

N. Ayache, X. Pennec, H. Delingette, 2011, International Journal of Computer Vision.

Probabilities and Statistics on Riemannian Manifolds : A Geometric approach

X. Pennec, 2004 .

Beyond Riemannian geometry

X. Pennec, Marco Lorenzi, 2019 .

Efficient Parallel Transport of Deformations in Time Series of Images: From Schild’s to Pole Ladder

Xavier Pennec, Marco Lorenzi, X. Pennec, 2013, Journal of Mathematical Imaging and Vision.

A Nonconservative Lagrangian Framework for Statistical Fluid Registration—SAFIRA

Paul M. Thompson, James C. Gee, Natasha Lepore, 2011, IEEE Transactions on Medical Imaging.

Asclepios : a Research Project at INRIA for the Analysis and Simulation of Biomedical Images

Hervé Delingette, Olivier Clatz, Grégoire Malandain, 2006 .

Measuring Brain Variability Via Sulcal Lines Registration: A Diffeomorphic Approach

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2007, MICCAI.

A new combined surface and volume registration

Paul M. Thompson, Arthur W. Toga, Richard M. Leahy, 2010, Medical Imaging.

A new registration method based on Log-Euclidean Tensor metrics and its application to genetic studies

Paul M. Thompson, Arthur W. Toga, Natasha Lepore, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Uniform Distribution, Distance and Expectation Problems for Geometric Features Processing

Nicholas Ayache, Xavier Pennec, N. Ayache, 1998, Journal of Mathematical Imaging and Vision.

Low‐dimensional representation of cardiac motion using Barycentric Subspaces: A new group‐wise paradigm for estimation, analysis, and reconstruction

Maxime Sermesant, Xavier Pennec, Marc-Michel Rohé, 2018, Medical Image Anal..

Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart

Maxime Sermesant, Xavier Pennec, Tommaso Mansi, 2013 .

Sparsity and scale: Compact representations of deformation for diffeomorphic registration

X. Pennec, Stefan Sommer, Mads Nielsen, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Higher Order Kernels and Locally Affine LDDMM Registration pdf

Xavier Pennec, Stefan Sommer, Mads Nielsen, 2011, ArXiv.

A Statistical Model of White Matter Fiber Bundles Based on Currents

Alain Trouvé, Nicholas Ayache, Stanley Durrleman, 2009, IPMI.

Hessian of the Riemannian Squared Distance

X. Pennec, 2017 .

Parallel Transport with Pole Ladder: a Third Order Scheme in Affine Connection Spaces which is Exact in Affine Symmetric Spaces pdf

Xavier Pennec, X. Pennec, 2018, ArXiv.

Template Estimation in Computational Anatomy: Fréchet Means Top and Quotient Spaces Are Not Consistent

Alain Trouvé, Xavier Pennec, Stéphanie Allassonnière, 2016, SIAM J. Imaging Sci..

Statistics on Lie groups: A need to go beyond the pseudo-Riemannian framework

X. Pennec, Nina Miolane, 2015 .

Defining a mean on Lie groups

Xavier Pennec, Nina Miolane, X. Pennec, 2013 .

Bi-invariant Means on Lie Groups with Cartan-Schouten Connections

Xavier Pennec, X. Pennec, 2013, GSI.

Automatic Multi-Atlas Segmentation of Myocardium with SVF-Net

Maxime Sermesant, Xavier Pennec, Marc-Michel Rohé, 2017, STACOM@MICCAI.

Stratified Principal Component Analysis

X. Pennec, Tom Szwagier, 2023, 2307.15348.

Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

Maxime Sermesant, Xavier Pennec, Shuman Jia, 2017, FIMH.

Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration

Nicholas Ayache, Xavier Pennec, Vincent Arsigny, 2003, MICCAI.

Journal of Mathematical Imaging and Vision Manuscript No. a Fast and Log-euclidean Polyaffine Framework for Locally Linear Registration

N. Ayache, O. Commowick, V. Arsigny, 2022 .

Statistical Analysis of Organs’ Shapes and Deformations: The Riemannian and the Affine Settings in Computational Anatomy

Xavier Pennec, X. Pennec, 2020 .

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

Maxime Sermesant, Xavier Pennec, Lilian Calvet, 2018, IEEE Transactions on Biomedical Engineering.

Combination of Polyaffine Transformations and Supervised Learning for the Automatic Diagnosis of LV Infarct

Nicolas Duchateau, Maxime Sermesant, Xavier Pennec, 2015, STACOM@MICCAI.

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

D. Comaniciu, N. Ayache, X. Pennec, 2015, FIMH.

Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics

X. Pennec, Maxime Sermesant, K. Mcleod, 2015, IEEE Transactions on Medical Imaging.

Regional Analysis of Left Ventricle Function Using a Cardiac-Specific Polyaffine Motion Model

X. Pennec, Maxime Sermesant, C. Seiler, 2013, FIMH.

A Near-Incompressible Poly-affine Motion Model for Cardiac Function Analysis

Maxime Sermesant, Xavier Pennec, Christof Seiler, 2012, STACOM.

Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics

Xavier Pennec, Mauricio Reyes, Christof Seiler, 2012, MICCAI.

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

N. Ayache, X. Pennec, Tom Kamiel Magda Vercauteren, 2008, MICCAI.

Grid Enabled Non-rigid Registration with a Dense Transformation and a priori Information

Nicholas Ayache, Xavier Pennec, Radu Stefanescu, 2003, MICCAI.

Flagfolds

X. Pennec, Blanche Buet, 2023, 2305.10583.

A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?

Jan L. Bruse, Hopewell N. Ntsinjana, X. Pennec, 2015, STACOM@MICCAI.

A Statistical Model for Quantification and Prediction of Cardiac Remodelling: Application to Tetralogy of Fallot

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2011, IEEE Transactions on Medical Imaging.

Grid-enabled workflows for data intensive medical applications

Johan Montagnat, Tristan Glatard, Xavier Pennec, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Population‐based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2018, International journal for numerical methods in biomedical engineering.

Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

Hervé Delingette, Nicholas Ayache, Maxime Sermesant, 2017, Biomechanics and Modeling in Mechanobiology.

Generalized Correlation Ratio for Rigid Registration of 3D Ultrasound with MR Images

Sébastien Ourselin, Ludwig M. Auer, Nicholas Ayache, 2000, MICCAI.

Virtual Reality, Augmented Reality and Robotics in surgical procedures of the liver

Hervé Delingette, Luc Soler, Stéphane Nicolau, 2004 .

The geometry of Riemannian submersions from compact Lie groups. Application to flag manifolds

X. Pennec, Dimbihery Rabenoro, 2023, 2302.14810.

Rethinking the Riemannian Logarithm on Flag Manifolds as an Orthogonal Alignment Problem

X. Pennec, Tom Szwagier, 2023, GSI.

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches

Maria A. Zuluaga, Jan L. Bruse, Hopewell N. Ntsinjana, 2017, IEEE Transactions on Biomedical Engineering.

TETRALOGY OF FALLOT : CAN IT PROVIDE INSIGHT INTO PATIENT TREATMENT ?

N. Ayache, X. Pennec, Maxime Sermesant, 2013 .

How Successful is Successful? Aortic Arch Shape Following Successful Aortic Coarctation Repair Correlates with Left Ventricular Function

Jan L. Bruse, X. Pennec, K. Mcleod, 2016 .

A Statistical Model of Right Ventricle in Tetralogy of Fallot for Prediction of Remodelling and Therapy Planning

Boris C. Bernhardt, Hervé Delingette, Nicholas Ayache, 2009, MICCAI.

A Lagrangian formulation for statistical fluid registration

Agatha D. Lee, A. Toga, X. Pennec, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A new registration method based on Log-Euclidean Tensor metrics and its application to genetic studies

Agatha D. Lee, A. Toga, X. Pennec, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Best individual template selection from deformation tensor minimization

Agatha D. Lee, A. Toga, X. Pennec, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A 3D Statistical Fluid Registration Algorithm

Paul M. Thompson, James C. Gee, Natasha Lepore, 2010 .

From Semantics to Computer Science: Asclepios: a research project team at INRIA for the analysis and simulation of biomedical images

N. Ayache, G. Malandain, X. Pennec, 2009 .

Tracking brain deformations in time sequences of 3D US images

Nicholas Ayache, Xavier Pennec, Pascal Cathier, 2003, Pattern Recognit. Lett..