MS segmentation challenge using a data management and processing infrastructure

Challenge day schedule

Challenge date: October 21, 2016

Duration: Half-day (morning)

  • 09:00 – Opening/welcome
  • 09:05 – Presentation of the challenge computational infrastructure
  • 09:25 – Evaluated algorithms teasers (5 minutes each)
    • Team 1: “Multiple Sclerosis Lesion Segmentation using an Automated Multimodal Graph Cut”. J. Beaumont, O. Commowick and C. Barillot
    • Team 2: “Automatic Multiple Sclerosis Lesion Segmentation from Intensity-Normalized Multi-Channel MRI”. J. Beaumont, O. Commowick and C. Barillot
    • Team 3: “Automatic Multiple Sclerosis Lesion Segmentation with P-LOCUS”. S. Doyle, F. Forbes and M. Dojat
    • Team 4: “MS Lesion Segmentation using FLAIR MRI Only”. J. Knight and A. Khademi
    • Team 5: “Automatic Multiple Sclerosis Lesion Segmentation Using Hybrid Artificial Neural Networks”. A. Mahbod, C. Wang and O. Smedby
    • Team 6: “Nabla-net: a Deep Dag-like Convolutional Architecture for Biomedical Image Segmentation: Application to White-Matter Lesion Segmentation in Multiple Sclerosis”. R. McKinley, T. Gundersen, F. Wagner, A. Chan, R. Wiest and M. Reyes
    • Team 7: “Prediction of MS Lesions using Random Forests”. J. Muschelli, E. Sweeney, J. Maronge and C. Crainiceanu
    • Team 8: “Unsupervised Multiple Sclerosis Lesion Detection and Segmentation using Rules and Level Sets”. E. Roura, M. Cabezas, S. Valverde, S. González-Villà, J. Salvi, A. Oliver and X. Lladó
    • Team 9: “Evaluation-Oriented Training Strategy on MS Segmentation Challenge 2016”. M. M. Santos, P. R. B. Diniz, A. G. Silva-Filho and W. P. Santos
    • Team 10: “MRI Robust Brain Tissue Segmentation with application to Multiple Sclerosis”. X. Tomas-Fernandez and S. K. Warfield
    • Team 11: “A 3D Hierarchical Multimodal Detection and Segmentation Method for Multiple Sclerosis Lesions in MRI”. H. Urien, I. Buvat, N. Rougon and I. Bloch
    • Team 12: “Multiple Sclerosis Lesion Detection and Segmentation using a Convolutional Neural Network of 3D Patches”. S. Valverde, M. Cabezas, E. Roura, S. González-Villà, J. Salvi, A. Oliver and X. Lladó
    • Team 13: “Random Forest for Multiple Sclerosis Lesion Segmentation”. F.J. Vera-Olmos, H. Melero and N. Malpica
  • 10:30 – Coffee break and poster session
  • 11:30 – Workshop evaluation results and analysis
  • 12:30 – Round table discussion and perspectives of the challenge
  • 12:55 – Closing remarks

 

Organization committee

The challenge is jointly organized by France Life Imaging (for methodological and technical resources) and the OFSEP French national cohort in MS (for data provision and medical expertise). The organization is based on three specific boards: a scientific advisory board, a technical board and a clinical advisory board.

 

Scientific advisory board currently appointed:

  • Christian Barillot (CNRS, Rennes)
  • Olivier Commowick (Inria, Rennes)
  • Charles Guttmann (OFSEP, Boston, MA)
  • Martin Styner (UNC, Chapel-Hill, NC)
  • Simon Warfield (Children’s Hospital, Boston, MA)

 

Technical board currently appointed:

  • Frederic Cervenansky (Université Claude Bernard, Lyon)
  • Tristan Glatard (CNRS, Lyon)
  • Audrey Istace (OFSEP, Lyon)
  • Michael Kain (FLI-IAM, Inria, Rennes)
  • Baptiste Laurent (FLI-IAM, Inserm, Brest)

 

Medical advisory board currently appointed:

  • Roxana Ameli (OFSEP, Lyon)
  • Francois Cotton (OFSEP, Lyon)
  • Jean-Christophe Ferré (OFSEP, Rennes)
  • Thomas Tourdias (OFSEP, Bordeaux)

 

Funding support

Funding is provided by France Life Imaging.