Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.

S. Narayanan, S. Francis, J. Sled, A. Santos, S. Antel, I. Levesque, S. Brass, Y. Lapierre, D. Sappey-Marinier, G. Pike, and D. Arnold. NeuroImage, 29 (2): 637-642 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dominique Streib University of Stuttgart

Dominique Paul Bergmann University of Stuttgart

Fiona Dominique Lüdecke University of Stuttgart

Other publications of authors with the same name

Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles.F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, and D. Sappey-Marinier. ICIAR, volume 9730 of Lecture Notes in Computer Science, page 633-641. Springer, (2016)Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods.S. Valton, F. Peyrin, and D. Sappey-Marinier. Int. J. Biomedical Imaging, (2006)Implementation of an Absolute Brain $^1$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis.M. Bagory, F. Durand-Dubief, D. Ibarrola, J. Comte, F. Cotton, C. Confavreux, and D. Sappey-Marinier. IEEE Trans. Biomed. Engineering, 59 (10): 2687-2694 (2012)An automated string-based approach to White Matter fiber-bundles clustering.F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, and D. Sappey-Marinier. IJCNN, page 1-8. IEEE, (2015)An automated string-based approach to extracting and characterizing White Matter fiber-bundles.F. Cauteruccio, C. Stamile, G. Terracina, D. Ursino, and D. Sappey-Marinier. Comp. in Bio. and Med., (2016)A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine.C. Stamile, G. Kocevar, S. Hannoun, F. Durand-Dubief, and D. Sappey-Marinier. MLMMI@ICML, volume 9487 of Lecture Notes in Computer Science, page 57-64. Springer, (2015)A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction.C. Stamile, F. Cauteruccio, G. Terracina, D. Ursino, G. Kocevar, and D. Sappey-Marinier. BIH, volume 9250 of Lecture Notes in Computer Science, page 135-144. Springer, (2015)Generalization of FDK 3D tomographic reconstruction algorithm for an off-centered cone beam geometry.S. Valton, F. Peyrin, and D. Sappey-Marinier. ICIP (3), page 620-623. IEEE, (2005)Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.S. Narayanan, S. Francis, J. Sled, A. Santos, S. Antel, I. Levesque, S. Brass, Y. Lapierre, D. Sappey-Marinier, G. Pike and 1 other author(s). NeuroImage, 29 (2): 637-642 (2006)A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations.A. Ion-Margineanu, G. Kocevar, C. Stamile, D. Sima, F. Durand-Dubief, S. Huffel, and D. Sappey-Marinier. ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 643-651. Springer, (2017)