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2010 – 2019
- 2016
[j26]Marion Sourty, Laurent Thoraval, Daniel Roquet
, Jean-Paul Armspach, Jack Foucher, Frédéric Blanc:
Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models. Frontiers Comput. Neurosci. 10: 60 (2016)- [j25]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? NeuroImage 142: 99-112 (2016) - [c52]Marion Sourty, Laurent Thoraval, Jean-Paul Armspach, Jack Foucher:
Product Hidden Markov Models for subject-based dynamic functional connectivity analysis of the resting state brain. ISBI 2016: 1291-1294 - [c51]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:
From Real MRA to Virtual MRA: Towards an Open-Source Framework. MICCAI (3) 2016: 335-343 - 2015
- [c50]Marion Sourty, Laurent Thoraval, Daniel Roquet, Jean-Paul Armspach, Jack Foucher:
Towards an automated selection of spontaneous co-activity maps in functional magnetic resonance imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94170K - [c49]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? MICCAI (1) 2015: 158-165 - 2014
- [c48]Francois Lavigne, Christophe Collet, Jean-Paul Armspach:
3D+t Brain MRI segmentation using robust 4D Hidden Markov Chain. EMBC 2014: 4715-4718 - [c47]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
General linear models for group studies in diffusion tensor imaging. ISBI 2014: 1339-1340 - 2013
- [j24]Swati Sharma, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations. Comput. Medical Imaging Graph. 37(7-8): 538-551 (2013) - [j23]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach:
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Anal. 17(3): 375-386 (2013) - [j22]Akram Belghith, Christophe Collet, Jean-Paul Armspach:
Change detection based on a support vector data description that treats dependency. Pattern Recognit. Lett. 34(3): 275-282 (2013) - [j21]Akram Belghith, Christophe Collet, Lucien Rumbach, Jean-Paul Armspach:
A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy. Signal Image Video Process. 7(5): 833-842 (2013) - [c46]Romuald Ginhoux, Pierre Renaud, Lucile Zorn, Laurent Goffin, Bernard Bayle, Jack Foucher, Julien Lamy, Jean-Paul Armspach, Michel de Mathelin:
A custom robot for Transcranial Magnetic Stimulation: First assessment on healthy subjects. EMBC 2013: 5352-5355 - 2012
- [j20]Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. Medical Image Anal. 16(1): 325-338 (2012) - [j19]Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach:
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage 60(4): 2206-2221 (2012) - [j18]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognit. Lett. 33(3): 283-290 (2012) - 2011
- [c45]Akram Belghith, Christophe Collet, Jean-Paul Armspach:
Change-detection based on support vector data description handling dependency. ICIP 2011: 2905-2908 - [c44]Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A new high order tensor decomposition: Application to reorientation. ISBI 2011: 258-261 - [c43]Akram Belghith, Christophe Collet, Jean-Paul Armspach:
A statistical framework for biomarker identification of biopsies using HR-MAS HSQC spectroscopy. ISBI 2011: 779-782 - [c42]Akram Belghith, Christophe Collet, Jean-Paul Armspach:
A Unified Framework for Peak Detection and Alignment: Application to HR-MAS 2D NMR Spectroscopy. MDA 2011: 106-118 - [c41]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach:
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) 2011: 1-8 - 2010
- [j17]Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Anal. 14(3): 373-389 (2010) - [c40]Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach:
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) 2010: 117-124
2000 – 2009
- 2009
- [c39]Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI 2009: 811-814 - [c38]Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) 2009: 566-574 - [c37]Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. MICCAI (1) 2009: 959-966 - 2008
- [j16]Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction. EURASIP J. Adv. Signal Process. 2008 (2008) - [j15]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. Medical Image Anal. 12(6): 639-652 (2008) - [j14]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. 17(10): 1963-1968 (2008) - [c36]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
3D Brain MRI segmentation based on robust Hidden Markov Chain. ICASSP 2008: 517-520 - [c35]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions. ICIP 2008: 733-736 - [c34]Sanae Miri, Nicolas Passat, Jean-Paul Armspach:
Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI. ICISP 2008: 67-75 - [c33]François Rousseau, Frédéric Blanc, Jérôme de Seze, Lucien Rumbach, Jean-Paul Armspach:
An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI. ISBI 2008: 9-12 - [c32]Sylvain Faisan, Nicolas Passat, Vincent Noblet, Renée Chabrier, Jean-Paul Armspach, Christophe Meyer:
Segmentation of head bones in 3-D CT images from an example. ISBI 2008: 81-84 - [c31]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas. ISBI 2008: 93-96 - [c30]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) 2008: 897-904 - 2007
- [j13]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Jack Foucher:
Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus. Image Vis. Comput. 25(4): 512-521 (2007) - [j12]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz:
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. Medical Image Anal. 11(1): 1-20 (2007) - [c29]Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Unsupervised Nonlinear Manifold Learning. ICIP (2) 2007: 109-112 - [c28]Sanae Miri, Nicolas Passat, Jean-Paul Armspach:
Topologically-based segmentation of brain structures from T1 MRI. ISMM (2) 2007: 33-34 - 2006
- [j11]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot:
Magnetic resonance angiography: From anatomical knowledge modeling to vessel segmentation. Medical Image Anal. 10(2): 259-274 (2006) - [j10]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. 10(3): 366-384 (2006) - [c27]Sylvain Faisan, Laurent Thoraval, Fabrice Heitz, Jean-Paul Armspach:
Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. ICASSP (5) 2006: 1097-1100 - [c26]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas. ISBI 2006: 386-389 - 2005
- [j9]Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach:
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. NeuroImage 24(4): 1088-1098 (2005) - [j8]Michel Salomon, Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach:
A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations. Parallel Comput. 31(1): 45-71 (2005) - [j7]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans. Image Process. 14(5): 553-566 (2005) - [j6]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Marie-Noëlle Metz-Lutz, Fabrice Heitz:
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. IEEE Trans. Medical Imaging 24(2): 263-276 (2005) - [c25]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot:
Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose. CVPR (2) 2005: 331-337 - [c24]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach:
Automatic Parameterization of Grey-Level Hit-or-Miss Operators for Brain Vessel Segmentation. ICASSP (2) 2005: 737-740 - [c23]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Jack Foucher:
Using Watershed and Multimodal Data for Vessel Segmentation: Application to the Superior Sagittal Sinus. ISMM 2005: 419-428 - [c22]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Marcel Bosc, Jack Foucher:
Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree. ISVC 2005: 60-67 - [c21]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz, Jack Foucher:
Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. Image Processing 2005 - 2004
- [c20]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. ECCV (3) 2004: 546-557 - [c19]Nicolas Passat, Christian Ronse, Joseph Baruthio, Jean-Paul Armspach, Claude Maillot, Christine Jahn:
Atlas-based method for segmentation of cerebral vascular trees from phase-contrast magnetic resonance angiography. Image Processing 2004 - 2003
- [j5]Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach, Izzie Namer, Daniel Gounot, Lucien Rumbach:
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. NeuroImage 20(2): 643-656 (2003) - [j4]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. Pattern Recognit. 36(8): 1881-1899 (2003) - [c18]Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach:
Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) 2003: 1077-1080 - [c17]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz:
Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. MICCAI (2) 2003: 75-82 - [c16]Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach:
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. MICCAI (2) 2003: 838-845 - [c15]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) 2003: 977-978 - [c14]Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz:
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. MICCAI (2) 2003: 981-982 - 2002
- [c13]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz:
Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. ICIP (1) 2002: 880-883 - 2001
- [j3]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Trans. Image Process. 10(7): 1081-1093 (2001) - [j2]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
A Physically-based Statistical Deformable Model for Brain Image Analysis. IEEE Trans. Medical Imaging 20(10): 1026-1037 (2001) - [c12]Laurent Thoraval, Jean-Paul Armspach, Izzie Namer:
Analysis of Brain Functional MRI Time Series Based on Continuous Wavelet Transform and Stimulation-Response Coupling Distance. MICCAI 2001: 881-888 - [c11]Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs. Image Processing 2001 - 2000
- [c10]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno:
A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) 2000: 528-542 - [c9]Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Construction of a 3D Physically-Based Multi-Object Deformable Model. ICIP 2000: 268-271 - [c8]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP 2000: 505-508 - [c7]Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D watershed-based segmentation of internal structures within MR brain images. Image Processing 2000 - [c6]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D deformable image matching: a hierarchical approach over nested subspaces. Image Processing 2000
1990 – 1999
- 1999
- [j1]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognit. 32(8): 1351-1368 (1999) - [c5]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR 1999: 2478-2484 - [c4]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation. Image Processing 1999 - 1998
- [c3]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) 1998: 51-65 - [c2]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) 1998: 838-842 - [c1]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer:
Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. Image Processing 1998
Coauthor Index
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