Jean-Paul Armspach

Laurent Goffin, Bernard Bayle, Pierre Renaud, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2015, MICCAI.

A statistical framework for biomarker identification of biopsies using HR-MAS HSQC spectroscopy

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Recalage non rigide et dense d'images volumiques par une approche multiéchelle continue

Jean-Paul Armspach, Olivier Musse, Fabrice Heitz, 1999 .

A new high order tensor decomposition: Application to reorientation.

Fabrice Heitz, Antoine Grigis, Jean-Paul Armspach, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors

Fabrice Heitz, Antoine Grigis, Jean-Paul Armspach, 2010, MICCAI.

A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2004, ECCV.

Topology preserving deformable image matching using constrained hierarchical parametric models

Fabrice Heitz, Jean-Paul Armspach, Olivier Musse, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Automatic parameterization of grey-level hit-or-miss operators for brain vessel segmentation

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation

Fabrice Heitz, Jean-Paul Armspach, Christophoros Nikou, 1999, Medical Imaging.

3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2005, IEEE Transactions on Image Processing.

Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2008, MICCAI.

3D deformable image matching using multiscale minimization of global energy functions

Fabrice Heitz, Jean-Paul Armspach, Olivier Musse, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

3D deformable image matching: a hierarchical approach over nested subspaces

Fabrice Heitz, Jean-Paul Armspach, Olivier Musse, 2000, Medical Imaging: Image Processing.

A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations

Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach, 2005, Parallel Comput..

Topology preserving deformable image matching using constrained hierarchical parametric models

Fabrice Heitz, Jean-Paul Armspach, Olivier Musse, 2001, IEEE Trans. Image Process..

Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2012, Medical Image Anal..

Parallel Differential Evolution: Application to 3-D Medical Image Registration

Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach, 2005 .

Atlas-based method for segmentation of cerebral vascular trees from phase-contrast magnetic resonance angiography

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2004, SPIE Medical Imaging.

Fabrice Heitz, Jean-Paul Armspach, Christophoros Nikou, 1999, Pattern Recognit..

Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data

Sylvain Faisan, Fabrice Heitz, Laurent Thoraval, 2007, Medical Image Anal..

Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2008, 2008 15th IEEE International Conference on Image Processing.

Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2008, Medical Image Anal..

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways

Fabrice Heitz, Antoine Grigis, Jean-Paul Armspach, 2013, Medical Image Anal..

Using Watershed and Multimodal Data for Vessel Segmentation: Application to the Superior Sagittal Sinus

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, ISMM.

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data

Swati Sharma, Fabrice Heitz, Jean-Paul Armspach, 2010, Medical Image Anal..

General linear models for group studies in diffusion tensor imaging

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2013, Signal Image Video Process..

Modélisation, analyse et fusion markovienne cachée de multiples séquences d'evénements : Application en cartographie IRM fonctionnelle cérébrale

Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, 2005 .

ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++

Fabrice Heitz, Jean-Paul Armspach, Torbjørn Vik, 2003, MICCAI.

Statistical atlas-based sub-voxel segmentation of 3D brain MRI

Fabrice Heitz, Jean-Paul Armspach, Marcel Bosc, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Analysis of Brain Functional MRI Time Series Based on Continuous Wavelet Transform and Stimulation-Response Coupling Distance

Laurent Thoraval, Jean-Paul Armspach, Izzie Namer, 2001, MICCAI.

3D+t Brain MRI segmentation using robust 4D Hidden Markov Chain

Christophe Collet, Jean-Paul Armspach, Francois Lavigne, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2012, Pattern Recognit. Lett..

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors

Fabrice Heitz, Antoine Grigis, Jean-Paul Armspach, 2012, NeuroImage.

Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance

Fabrice Heitz, Jean-Paul Armspach, Torbjørn Vik, 2003, MICCAI.

A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sections

Fabrice Heitz, Jean-Paul Armspach, Astrid Nehlig, 2003, Journal of Neuroscience Methods.

On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion

Fabrice Heitz, Jean-Paul Armspach, Torbjørn Vik, 2005, NeuroImage.

Region‐growing segmentation of brain vessels: An atlas‐based automatic approach

Jean-Paul Armspach, Christian Ronse, Joseph Baruthio, 2005, Journal of magnetic resonance imaging : JMRI.

Detection of Biomarker in Biopsies Based on Hr-Mas 2D HSQC Spectroscopy Indexation

Jean-Paul Armspach, Christophe Collet, Akram Belghith, 2013 .

3D Brain MRI segmentation based on robust Hidden Markov Chain

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Accurate Inversion of 3-D Transformation Fields

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2008, IEEE Transactions on Image Processing.

Cerebral vascular atlas generation for anatomical knowledge modeling and segmentation purpose

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

3D watershed-based segmentation of internal structures within MR brain images

Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno, 2000, Medical Imaging: Image Processing.

Towards an automated selection of spontaneous co-activity maps in functional magnetic resonance imaging

Laurent Thoraval, Jean-Paul Armspach, Jack Foucher, 2015, Medical Imaging.

Unsupervised Nonlinear Manifold Learning

Fabrice Heitz, Jean-Paul Armspach, Christian Heinrich, 2007, 2007 IEEE International Conference on Image Processing.

Product Hidden Markov Models for subject-based dynamic functional connectivity analysis of the resting state brain

Laurent Thoraval, Jean-Paul Armspach, Jack Foucher, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction

Fabrice Heitz, Jean-Paul Armspach, Christian Heinrich, 2008, EURASIP J. Adv. Signal Process..

Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution

Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach, 2003, NeuroImage.

A Physically-Based Statistical Deformable Model for Brain Image Analysis

Fabrice Heitz, Jean-Paul Armspach, Christophoros Nikou, 2000, ECCV.

Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation

Sylvain Faisan, Fabrice Heitz, Laurent Thoraval, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models

Laurent Thoraval, Jean-Paul Armspach, Frédéric Blanc, 2016, Front. Comput. Neurosci..

Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models

Sylvain Faisan, Fabrice Heitz, Laurent Thoraval, 2005, SPIE Medical Imaging.

A Topology Preserving Method for 3-D Non-rigid Brain Image Registration

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2003, MICCAI.

Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI

Nicolas Passat, Jean-Paul Armspach, Sanae Miri, 2008, ICISP.

Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree

Nicolas Passat, Jean-Paul Armspach, Christian Ronse, 2005, ISVC.

Generalized likelihood ratio tests for change detection in diffusion tensor images

Fabrice Heitz, Jean-Paul Armspach, Vincent Noblet, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation of head bones in 3-D CT images from an example

Nicolas Passat, Sylvain Faisan, Jean-Paul Armspach, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches

Swati Sharma, Fabrice Heitz, Jean-Paul Armspach, 2009, MICCAI.

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures

Fabrice Heitz, Jean-Paul Armspach, Christophoros Nikou, 1998, Medical Imaging.

High Frequency of Intracranial Arterial Stenosis and Cannabis Use in Ischaemic Stroke in the Young

Jean-Paul Armspach, C. Marescaux, J. Armspach, 2014, Cerebrovascular Diseases.

Multi-exponential analysis of T2 images

Jean-Paul Armspach, B. Dumitresco, Y. Mauss, 1986 .

Multiple sclerosis lesion detection with local multimodal Markovian analysis and cellular automata ‘GrowCut’

Christophe Collet, Jean-Paul Armspach, Daniel Biediger, 2014 .

MS Lesion Segmentation based on Hidden Markov Chains

Christophe Collet, Jean-Paul Armspach, Stéphanie Bricq, 2008, The MIDAS Journal.

Brain perfusion in dementia with Lewy bodies and Alzheimer’s disease: an arterial spin labeling MRI study on prodromal and mild dementia stages

Jean-Paul Armspach, Frédéric Blanc, Daniel Roquet, 2016, Alzheimer's Research & Therapy.

Correlations of quantitative MRI metrics with myelin basic protein (MBP) staining in a murine model of demyelination

Jean-Paul Armspach, François Rousseau, Lucas Soustelle, 2019, NMR in biomedicine.

A Statistical Framework for Biomarker Analysis and HR-MAS 2D Metabolite Identification

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2014 .

Registration of MR/MR and MR/SPECT Brain Images by Fast Stochastic Optimization of Robust Voxel Similarity Measures

Fabrice Heitz, Jean-Paul Armspach, Christophoros Nikou, 1998, NeuroImage.

Cortical Thickness in Dementia with Lewy Bodies and Alzheimer's Disease: A Comparison of Prodromal and Dementia Stages

Jean-Paul Armspach, John T. O'Brien, Barbara Jung, 2015, PloS one.

White Matter Atrophy and Cognitive Dysfunctions in Neuromyelitis Optica

Jean-Paul Armspach, Vincent Noblet, Barbara Jung, 2012, PloS one.