Publications de Ahmed Abdulkadir

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Francesco La Rosa, Muhamed Barakovic, Mario Joao Fartaria de Oliveira, Ahmed Abdulkadir, Po-Jui Lu

The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, cortic ...

2020

Deep learning-based detection of cortical lesions in multiple sclerosis patients with FLAIR, DIR, and MP2RAGE MRI sequences

Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Mario Joao Fartaria de Oliveira, Francesco La Rosa, Ahmed Abdulkadir, Po-Jui Lu

SAGE PUBLICATIONS LTD2019

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Alessandro Daducci, Reto Meuli, Cristina Granziera, Gunnar Krüger, Daniel Andreas Schmitter, Alexis Roche, Ahmed Abdulkadir

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer’s disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and e ...

Elsevier2015

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Gunnar Krüger, Alexis Roche, Ahmed Abdulkadir

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014

Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier

Bénédicte Marie Maréchal, Ahmed Abdulkadir, Gunnar Krüger

Fully automated machine learning methods based on structural magnetic resonance imaging data can assist radiologists in the diagnosis of Alzheimer's disease (AD). These algorithms require large data sets to learn the separation of subjects with and without ...

Elsevier2011