5 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.…
Cylindrical Shape Decomposition for 3D Segmentation of Tubular Objects
Ali Abdollahzadeh, Alejandra Sierra, Jussi Tohka
We develop a cylindrical shape decomposition (CSD) algorithm to decompose an object, a union of several tubular structures, into its semantic components. We decompose the object us…
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…
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi +1
We propose a novel classifier accuracy metric: the Bayesian Area Under the Receiver Operating Characteristic Curve (CBAUC). The method estimates the area under the ROC curve and is…