Jean-Paul Armspach

78 papers A* 1A 1B 11C 2Misc 2Journal 26Unranked 35
YearRankTypeTitle / Venue / Authors
2016 — conf
From Real MRA to Virtual MRA: Towards an Open-Source Framework.
MICCAI (3)
Nicolas Passat, Stéphanie Salmon, Jean-Paul Armspach, Benoît Naegel, Christophe Prud'Homme, Hugues Talbot, Alexandre Fortin, Simon Garnotel, Odyssée Merveille, Olivia Miraucourt, Ranine Tarabay, Vincent Chabannes, Alice Dufour, Anna Jezierska, Olivier Balédent, Emmanuel Durand, Laurent Najman, Marcela Szopos, Alexandre Ancel, Joseph Baruthio, Maya Delbany, Sidy Fall, Gwenaël Pagé, Olivier Génevaux, Mourad Ismail, P. Loureiro de Sousa, Marc Thiriet, Julien Jomier
2016 J jnl
Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models.
Frontiers Comput. Neurosci.
Marion Sourty, Laurent Thoraval, Daniel Roquet, Jean-Paul Armspach, Jack Foucher, Frédéric Blanc
2016 — conf
Product Hidden Markov Models for subject-based dynamic functional connectivity analysis of the resting state brain.
ISBI
Marion Sourty, Laurent Thoraval, Jean-Paul Armspach, Jack Foucher
2016 J jnl
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?
NeuroImage
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2015 — conf
Towards an automated selection of spontaneous co-activity maps in functional magnetic resonance imaging.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Marion Sourty, Laurent Thoraval, Daniel Roquet, Jean-Paul Armspach, Jack Foucher
2015 — conf
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?
MICCAI (1)
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2014 — conf
3D+t Brain MRI segmentation using robust 4D Hidden Markov Chain.
EMBC
Francois Lavigne, Christophe Collet, Jean-Paul Armspach
2014 — conf
General linear models for group studies in diffusion tensor imaging.
ISBI
Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach
2013 — conf
A custom robot for Transcranial Magnetic Stimulation: First assessment on healthy subjects.
EMBC
Romuald Ginhoux, Pierre Renaud, Lucile Zorn, Laurent Goffin, Bernard Bayle, Jack Foucher, Julien Lamy, Jean-Paul Armspach, Michel de Mathelin
2013 J jnl
A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy.
Signal Image Video Process.
Akram Belghith, Christophe Collet, Lucien Rumbach, Jean-Paul Armspach
2013 J jnl
Change detection based on a support vector data description that treats dependency.
Pattern Recognit. Lett.
Akram Belghith, Christophe Collet, Jean-Paul Armspach
2013 J jnl
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.
Medical Image Anal.
Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach
2013 J jnl
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations.
Comput. Medical Imaging Graph.
Swati Sharma, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2012 J jnl
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration.
Pattern Recognit. Lett.
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2012 J jnl
Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis.
Medical Image Anal.
Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2012 J jnl
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors.
NeuroImage
Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach
2011 — conf
A Unified Framework for Peak Detection and Alignment: Application to HR-MAS 2D NMR Spectroscopy.
MDA
Akram Belghith, Christophe Collet, Jean-Paul Armspach
2011 — conf
A new high order tensor decomposition: Application to reorientation.
ISBI
Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2011 — conf
A statistical framework for biomarker identification of biopsies using HR-MAS HSQC spectroscopy.
ISBI
Akram Belghith, Christophe Collet, Jean-Paul Armspach
2011 B conf
Change-detection based on support vector data description handling dependency.
ICIP
Akram Belghith, Christophe Collet, Jean-Paul Armspach
2011 — conf
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.
MICCAI (2)
Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach
2010 — conf
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors.
MICCAI (2)
Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
2010 J jnl
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data.
Medical Image Anal.
Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009 — conf
Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images.
ISBI
Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009 — conf
Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis.
MICCAI (1)
Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2009 — conf
Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches.
MICCAI (1)
Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
2008 Misc conf
3D Brain MRI segmentation based on robust Hidden Markov Chain.
ICASSP
Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008 J jnl
A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction.
EURASIP J. Adv. Signal Process.
Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008 J jnl
Accurate Inversion of 3-D Transformation Fields.
IEEE Trans. Image Process.
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008 — conf
An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI.
ISBI
François Rousseau, Frédéric Blanc, Jérôme de Seze, Lucien Rumbach, Jean-Paul Armspach
2008 — conf
Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas.
ISBI
Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008 B conf
Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions.
ICIP
Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008 — conf
Segmentation of head bones in 3-D CT images from an example.
ISBI
Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Jean-Paul Armspach, Christophe Meyer
2008 — conf
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction.
MICCAI (2)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2008 C conf
Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI.
ICISP
Sanae Miri, Nicolas Passat, Jean-Paul Armspach
2008 J jnl
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
Medical Image Anal.
Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2007 J jnl
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data.
Medical Image Anal.
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2007 — conf
Topologically-based segmentation of brain structures from T1 MRI.
ISMM (2)
Sanae Miri, Nicolas Passat, Jean-Paul Armspach
2007 — conf
Unsupervised Nonlinear Manifold Learning.
ICIP (2)
Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2007 J jnl
Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus.
Image Vis. Comput.
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Jack Foucher
2006 — conf
Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation.
ICASSP (5)
Sylvain Faisan, Laurent Thoraval, Fabrice Heitz, Jean-Paul Armspach
2006 J jnl
Magnetic resonance angiography: From anatomical knowledge modeling to vessel segmentation.
Medical Image Anal.
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot
2006 J jnl
Retrospective evaluation of a topology preserving non-rigid registration method.
Medical Image Anal.
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2006 — conf
Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas.
ISBI
Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2005 J jnl
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization.
IEEE Trans. Image Process.
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2005 J jnl
A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations.
Parallel Comput.
Michel Salomon, Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach
2005 — conf
Automatic Parameterization of Grey-Level Hit-or-Miss Operators for Brain Vessel Segmentation.
ICASSP (2)
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach
2005 — conf
Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose.
CVPR (2)
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot
2005 J jnl
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion.
NeuroImage
Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach
2005 J jnl
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
IEEE Trans. Medical Imaging
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Marie-Noëlle Metz-Lutz, Fabrice Heitz
2005 B conf
Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models.
Image Processing
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz, Jack Foucher
2005 Misc conf
Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree.
ISVC
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Marcel Bosc, Jack Foucher
2005 C conf
Using Watershed and Multimodal Data for Vessel Segmentation: Application to the Superior Sagittal Sinus.
ISMM
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Jack Foucher
2004 — conf
A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images.
ECCV (3)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2004 B conf
Atlas-based method for segmentation of cerebral vascular trees from phase-contrast magnetic resonance angiography.
Image Processing
Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot, Christine Jahn
2003 — conf
A Topology Preserving Method for 3-D Non-rigid Brain Image Registration.
MICCAI (2)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
2003 J jnl
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution.
NeuroImage
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach, Izzie Namer, Daniel Gounot, Lucien Rumbach
2003 J jnl
Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation.
Pattern Recognit.
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2003 — conf
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++.
MICCAI (2)
Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz
2003 — conf
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance.
MICCAI (2)
Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach
2003 — conf
Statistical atlas-based sub-voxel segmentation of 3D brain MRI.
ICIP (2)
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
2003 — conf
Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models.
MICCAI (2)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2002 — conf
Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis.
ICIP (1)
Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
2001 J jnl
A Physically-based Statistical Deformable Model for Brain Image Analysis.
IEEE Trans. Medical Imaging
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
2001 A conf
Analysis of Brain Functional MRI Time Series Based on Continuous Wavelet Transform and Stimulation-Response Coupling Distance.
MICCAI
Laurent Thoraval, Jean-Paul Armspach, Izzie Namer
2001 B conf
Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs.
Image Processing
Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2001 J jnl
Topology preserving deformable image matching using constrained hierarchical parametric models.
IEEE Trans. Image Process.
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000 B conf
3D deformable image matching: a hierarchical approach over nested subspaces.
Image Processing
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000 B conf
3D watershed-based segmentation of internal structures within MR brain images.
Image Processing
Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000 — conf
A Physically-Based Statistical Deformable Model for Brain Image Analysis.
ECCV (2)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno
2000 B conf
Construction of a 3D Physically-Based Multi-Object Deformable Model.
ICIP
Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
2000 B conf
Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models.
ICIP
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
1999 A* conf
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions.
CVPR
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
1999 B conf
Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation.
Image Processing
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1999 J jnl
Robust voxel similarity metrics for the registration of dissimilar single and multimodal images.
Pattern Recognit.
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1998 — conf
Multimodal Image Registration using Statistically Constrained Deformable Multimodels.
ICIP (1)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1998 — conf
Robust Registration of Dissimilar Single and Multimodal Images.
ECCV (2)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
1998 B conf
Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures.
Image Processing
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer