Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolu...
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
About this item
Full title
Author / Creator
Gros, Charley , De Leener, Benjamin , Badji, Atef , Maranzano, Josefina , Eden, Dominique , Dupont, Sara M. , Talbott, Jason , Zhuoquiong, Ren , Liu, Yaou , Granberg, Tobias , Ouellette, Russell , Tachibana, Yasuhiko , Hori, Masaaki , Kamiya, Kouhei , Chougar, Lydia , Stawiarz, Leszek , Hillert, Jan , Bannier, Elise , Kerbrat, Anne , Edan, Gilles , Labauge, Pierre , Callot, Virginie , Pelletier, Jean , Audoin, Bertrand , Rasoanandrianina, Henitsoa , Brisset, Jean-Christophe , Valsasina, Paola , Rocca, Maria A. , Filippi, Massimo , Bakshi, Rohit , Tauhid, Shahamat , Prados, Ferran , Yiannakas, Marios , Kearney, Hugh , Ciccarelli, Olga , Smith, Seth , Treaba, Constantina Andrada , Mainero, Caterina , Lefeuvre, Jennifer , Reich, Daniel S. , Nair, Govind , Auclair, Vincent , McLaren, Donald G. , Martin, Allan R. , Fehlings, Michael G. , Vahdat, Shahabeddin , Khatibi, Ali , Doyon, Julien , Shepherd, Timothy , Charlson, Erik , Narayanan, Sridar and Cohen-Adad, Julien
Publisher
United States: Elsevier Inc
Journal title
Language
English
Formats
Publication information
Publisher
United States: Elsevier Inc
Subjects
More information
Scope and Contents
Contents
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of damage, which are key criteria for the diagnosis, prognosis, and longitudinal monitoring in MS. Automating this operation eliminates inter-rater variability and increase...
Alternative Titles
Full title
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Authors, Artists and Contributors
Author / Creator
De Leener, Benjamin
Badji, Atef
Maranzano, Josefina
Eden, Dominique
Dupont, Sara M.
Talbott, Jason
Zhuoquiong, Ren
Liu, Yaou
Granberg, Tobias
Ouellette, Russell
Tachibana, Yasuhiko
Hori, Masaaki
Kamiya, Kouhei
Chougar, Lydia
Stawiarz, Leszek
Hillert, Jan
Bannier, Elise
Kerbrat, Anne
Edan, Gilles
Labauge, Pierre
Callot, Virginie
Pelletier, Jean
Audoin, Bertrand
Rasoanandrianina, Henitsoa
Brisset, Jean-Christophe
Valsasina, Paola
Rocca, Maria A.
Filippi, Massimo
Bakshi, Rohit
Tauhid, Shahamat
Prados, Ferran
Yiannakas, Marios
Kearney, Hugh
Ciccarelli, Olga
Smith, Seth
Treaba, Constantina Andrada
Mainero, Caterina
Lefeuvre, Jennifer
Reich, Daniel S.
Nair, Govind
Auclair, Vincent
McLaren, Donald G.
Martin, Allan R.
Fehlings, Michael G.
Vahdat, Shahabeddin
Khatibi, Ali
Doyon, Julien
Shepherd, Timothy
Charlson, Erik
Narayanan, Sridar
Cohen-Adad, Julien
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_swepub_ki_se_485023
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_485023
Other Identifiers
ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2018.09.081
