Downloads provided by UsageCountsMiccai 2016 Ms Lesion Segmentation Challenge: Supplementary Results
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Commowick, Olivier; Istace, Audrey; Kain, Michael; Laurent, Baptiste; Leray, Florent; Simon, Mathieu; Camarasu-Pop, Sorina; +38 Authors
Commowick, Olivier; Istace, Audrey; Kain, Michael; Laurent, Baptiste; Leray, Florent; Simon, Mathieu; Camarasu-Pop, Sorina; Girard, Pascal; Ameli, Roxana; Ferré, Jean-Christophe; Kerbrat, Anne; Tourdias, Thomas; Cervenansky, Frédéric; Glatard, Tristan; Beaumont, Jérémy; Doyle, Senan; Forbes, Florence; Knight, Jesse; Khademi, April; Mahbod, Amirreza; Wang, Chunliang; Mc Kinley, Richard; Wagner, Franca; Muschelli, John; Sweeney, Elizabeth; Roura, Eloy; Lladò, Xavier; Santos, Michel M.; Santos, Wellington P.; Silva-Filho, Abel G.; Tomas-Fernandez, Xavier; Urien, Hélène; Bloch, Isabelle; Valverde, Sergi; Cabezas, Mariano; Vera-Olmos, Francisco Javier; Malpica, Norberto; Guttmann, Charles; Vukusic, Sandra; Edan, Gilles; Dojat, Michel; Styner, Martin; Warfield, Simon K.; Cotton, François; Barillot, Christian;
Miccai 2016 Ms Lesion Segmentation Challenge: Supplementary Results
This package contains supplementary material for our article prepared for publication and under revision. It contains omitted results due to space limits of the article as well as detailed, patient per patient and team per team results for all metrics. Additional figures redundant with those of the article are also provided. The readme file Readme_SupplementalMaterial.txt provides details about each individual file content.
- French National Centre for Scientific Research France
- University of North Carolina at Chapel Hill United States
- Royal Institute of Technology Sweden
- King Juan Carlos University Spain
- University of Guelph Canada
Multiple sclerosis, Image segmentation, Computing infrastructure, Performance evaluation, MICCAI challenge, Distributed computing
Multiple sclerosis, Image segmentation, Computing infrastructure, Performance evaluation, MICCAI challenge, Distributed computing
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 150 downloads 92 - 150views92downloads
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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