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J P Armspach

Showing results (1-10 of 34) with videos related to

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Medical Image Analysis|April 29, 2008
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov ChainsS Bricq, Ch Collet, J P Armspach
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 6, 2008
Topology preserving deformable image matching using constrained hierarchical parametric modelsO Musse, F Heitz, J P Armspach
Magnetic Resonance Imaging|January 1, 1991
In vivo determination of multiexponential T2 relaxation in the brain of patients with multiple sclerosisJ P Armspach, D Gounot, L Rumbach, et al.
Medical Image Analysis|November 14, 2006
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI dataS Faisan, L Thoraval, J-P Armspach, et al.
IEEE Transactions on Medical Imaging|November 1, 2001
A joint physics-based statistical deformable model for multimodal brain image analysisC Nikou, G Bueno, F Heitz, et al.
Journal of Computer Assisted Tomography|November 1, 1988
Filtered backprojection and spectral width of MR signalD Gounot, B Dumitresco, J P Armspach, et al.
Magnetic Resonance Imaging|April 11, 2001
Three-dimensional segmentation of anatomical structures in MR images on large data basesG Bueno, O Musse, F Heitz, et al.
Medical Image Analysis|February 25, 2006
Retrospective evaluation of a topology preserving non-rigid registration methodV Noblet, C Heinrich, F Heitz, et al.
Cancer Radiotherapie : Journal De La Societe Francaise De Radiotherapie Oncologique|March 9, 2017
[Imaging methods used in the differential diagnosis between brain tumour relapse and radiation necrosis after stereotactic radiosurgery of brain metastases: Literature review]I Menoux, J-P Armspach, G Noël, et al.
Magnetic Resonance Imaging|September 12, 2001
Determination of vessel cross section for flow rate quantificationM Stevanov, J Baruthio, O Musse, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Medical Image Analysis|April 29, 2008
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov ChainsS Bricq, Ch Collet, J P Armspach
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 6, 2008
Topology preserving deformable image matching using constrained hierarchical parametric modelsO Musse, F Heitz, J P Armspach
Magnetic Resonance Imaging|January 1, 1991
In vivo determination of multiexponential T2 relaxation in the brain of patients with multiple sclerosisJ P Armspach, D Gounot, L Rumbach, et al.
Medical Image Analysis|November 14, 2006
Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI dataS Faisan, L Thoraval, J-P Armspach, et al.
IEEE Transactions on Medical Imaging|November 1, 2001
A joint physics-based statistical deformable model for multimodal brain image analysisC Nikou, G Bueno, F Heitz, et al.
Journal of Computer Assisted Tomography|November 1, 1988
Filtered backprojection and spectral width of MR signalD Gounot, B Dumitresco, J P Armspach, et al.
Magnetic Resonance Imaging|April 11, 2001
Three-dimensional segmentation of anatomical structures in MR images on large data basesG Bueno, O Musse, F Heitz, et al.
Medical Image Analysis|February 25, 2006
Retrospective evaluation of a topology preserving non-rigid registration methodV Noblet, C Heinrich, F Heitz, et al.
Cancer Radiotherapie : Journal De La Societe Francaise De Radiotherapie Oncologique|March 9, 2017
[Imaging methods used in the differential diagnosis between brain tumour relapse and radiation necrosis after stereotactic radiosurgery of brain metastases: Literature review]I Menoux, J-P Armspach, G Noël, et al.
Magnetic Resonance Imaging|September 12, 2001
Determination of vessel cross section for flow rate quantificationM Stevanov, J Baruthio, O Musse, et al.
Pageof 4