133 citations · 133 across the 3 of their papers we have counts for
4 papers
Multi-task longitudinal forecasting with missing values on Alzheimer's Disease
Carlos Sevilla-Salcedo, Vandad Imani, Pablo M. Olmos +2
Machine learning techniques typically applied to dementia forecasting lack in their capabilities to jointly learn several tasks, handle time dependent heterogeneous data and missin…
Comparison of single and multitask learning for predicting cognitive decline based on MRI data
Vandad Imani, Mithilesh Prakash, Marzieh Zare +1
The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a neuropsychological tool that has been designed to assess the severity of cognitive symptoms of dementia.…
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review
Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh +4
Transfer learning refers to machine learning techniques that focus on acquiring knowledge from related tasks to improve generalization in the tasks of interest. In MRI, transfer le…
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
Juan Miguel Valverde, Vandad Imani, John D. Lewis +1
We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge. In addition to the volumes…