Follow-on funding successes

So far:

POND 2020

Our third and final international workshop as part of the EuroPOND project will branch out beyond neurological diseases to all age-related diseases.

Join us in Paris for CompAge2020!

Outputs 2018-11

Some recent outputs from the EuroPOND team:

  • Young et al., Nature Communications (2018)
    Lead: UCL, WP3. URL
  • Oxtoby et al., Brain (2018)
    Lead: UCL, WP3. URL
  • Oxtoby et al., Frontiers in Neurology (2017)
    Lead: UCL, WP3, WP8. URL
  • Koval et al., Frontiers in Neurology (2018)
    Lead: ICM (Inserm), WP3. URL
  • Venkatraghavan et al., IPMI (2017)
    Lead: Erasmus MC, WP3. URL
  • Bône et al., Proc ShapeMI (MICCAI) (2018)
    Lead: ICM (Inserm), WP3. URL
  • Bône et al., CVPR 2018
    Lead: ICM (Inserm), WP3. URL
  • Vinke et al., Neurobiology of Ageing (2018)
    Lead: Erasmus MC, WP6. URL
  • Huizinga et al., NeuroImage (2018)
    Lead: Erasmus MC, WP6. URL
  • Vernooij et al., NeuroImage: Clinical (2018)
    Lead: Erasmus MC, WP6. URL
  • Gui et al., NeuroImage (2018)
    Lead: U Geneva, WP9. URL
  • Venkatraghavan et al., NeuroImage (2018)
    Lead: Erasmus MC, WP3. URL

TADPOLE Challenge

The EuroPOND consortium, in conjunction with the Alzheimer’s Disease Neuroimaging Initiative (ADNI), are pleased to announce the launch of

The Alzheimer’s Disease Prediction OLongitudinal Evolution Challenge

In light of the many recent advances in predicting clinical outcomes for people at risk of contracting Alzheimer’s disease, it is time to assess which methods perform the best at predicting future data.

So, we are inviting all researchers including clinicians, statisticians, machine learning specialists, data scientists, and computational modelling experts to predict selected outcomes for a set of ADNI participants. Your chosen method will be assessed for its ability to predict future data for these participants.

Challenge details and sign-up:
Submission deadline: 15 November 2017

Let’s predict the future and make Alzheimer’s disease history.


Promotional flyer for TADPOLE Challenge

ISMRM Fellows

In recognition of their significant contributions to the International Society for Magnetic Resonance in Medicine (ISMRM), Professor Daniel Alexander (UCL, EuroPOND PI and Coordinator) and Professor Petra Hüppi (U.Geneva, leader of EuroPOND WP9) have been designated as Fellows of the Society.

Congratulations to Danny and Petra!

Danny and Petra at ISMRM