Lesion Challenge

Reference: Longitudinal multiple sclerosis lesion segmentation: Resource and challenge
Carass A, Roy S, Jog A, Cuzzocreo JL, Magrath E, Gherman A, Button J, Nguyen J, Prados F, Sudre CH, Jorge Cardoso M, Cawley N, Ciccarelli O, Wheeler-Kingshott CA, Ourselin S, Catanese L, Deshpande H, Maurel P, Commowick O, Barillot C, Tomas-Fernandez X, Warfield SK, Vaidya S, Chunduru A, Muthuganapathy R, Krishnamurthi G, Jesson A, Arbel T, Maier O, Handels H, Iheme LO, Unay D, Jain S, Sima DM, Smeets D, Ghafoorian M, Platel B, Birenbaum A, Greenspan H, Bazin PL, Calabresi PA, Crainiceanu CM, Ellingsen LM, Reich DS, Prince JL, Pham DL.
Neuroimage. 2017 Mar 1;148:77-102. doi: 10.1016/j.neuroimage.2016.12.064. Epub 2017 Jan 11. (paper link)

The Longitudinal MS Lesion Segmentation Challenge was conducted at the 2015 International Symposium on Biomedical Imaging in New York, NY, April 16-19. Competing teams applied their automatic lesion segmentation algorithms to MR neuroimaging data acquired at multiple time points from MS patients. Algorithms were evaluated against manual segmentations from multiple raters in terms of their segmentation accuracy and ability to track lesion evolution.

This work was partially supported by funding from the National Institute of Neurological Disorders and Stroke (R01-NS070906) and the National Multiple Sclerosis Society (RG-1507-05243).

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RankSubmitted byAffiliationSubmission DateScoreDownload results
#1asmsl02/24/2017 17:4792.076 download
#2nic_vicorob_testInstitut de Recerca en Visió per Computador i Robòtica,Universitat de Girona02/22/2017 10:4291.44 download
#3VIC_TF_FULLUniversity of Girona, Spain05/02/2017 12:2891.331 download
#4MIPLAB_v3Department of Electrical Engineering, Tel-Aviv University08/13/2016 17:2691.267 download
#5miac_results12/09/2016 15:2291.011 download
#6NIC_VICOROB_rater2University of Girona, Spain02/22/2017 10:5990.729 download
#7PVG1Centre For Intelligent Machines, McGill University11/04/2016 11:2990.698 download
#8ENIS_ATMSAdvanced Technologies For Medicine and Signals,ENIS, Sfax,Tunisia04/24/2017 04:4590.572 download
#9IMIInstitute of Medical Informatics, University of Lübeck11/04/2016 10:1890.283 download
#10ATMSEcole Nationale d'Ingénieurs de Sfax09/11/2016 11:5990.17 download
#11modmdgCenter for medical Image Analysis & Navigation (CIAN), Department of Biomedical Engineering, University of Basel02/22/2017 11:3190.084 download
#12test_MIPLAB_v2Dept of Biomedical Engineering, Tel-Aviv University06/12/2016 02:2790.07 download
#13ArchiveMcGill University03/22/2017 00:0090.054 download
#14testdata_ATMS_ENISEcole Nationale d'Ingénieurs de Sfax01/12/2017 08:3589.844 download
#15VISAGES2VisAGeS, INRIA11/04/2016 12:0289.807 download
#16IITBiomedical Imaging Lab, Indian Institute of Technlogy11/04/2016 10:0289.159 download
#17MSMETRIXicometrix11/04/2016 11:2288.744 download
#18lToadsImage Analysis and Communications Laboratory, Johns Hopkins University11/04/2016 10:2888.465 download
#19MSMETRIXicometrix05/19/2016 12:1188.068 download
#20CMICTranslational Imaging Group, CMIC, UCL11/04/2016 09:3288.009 download
#21MORFImage Analysis and Communications Laboratory, Johns Hopkins University11/04/2016 10:3787.917 download
#22testdata_kulKU Leuven10/14/2016 16:1587.748 download
#23ArchiveUPenn08/16/2017 15:3887.378 download
#24TIG-BFTranslational Imaging Group, CMIC, UCL11/04/2016 11:5487.376 download
#25CRLComputational Radiology Laboratory, Boston Children's Hospital11/04/2016 09:4187.017 download
#26DIAGDiagnostic Image Analysis Group, Radboud University Medical Center11/04/2016 09:4986.916 download
#27TIGTranslational Imaging Group, CMIC, UCL11/04/2016 11:3886.436 download
#28VISAGES3VisAGeS, INRIA11/04/2016 12:4386.068 download
#29BAUMIPVisAGeS, INRIA11/04/2016 09:2384.14 download