100 citations · 253 across the 19 of their papers we have counts for
4 papers · 1 filter
Bayesian Image Reconstruction using Deep Generative Models
Razvan V Marinescu, Daniel Moyer, Polina Golland
Machine learning models are commonly trained end-to-end and in a supervised setting, using paired (input, output) data. Examples include recent super-resolution methods that train…
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy
Razvan V. Marinescu
In order to find effective treatments for Alzheimer's disease (AD), we need to identify subjects at risk of AD as early as possible. To this end, recently developed disease progres…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +8
The TADPOLE Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer's disease. TADPOLE Challenge participants train…