Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

We compare a variety of different anatomic connectivity measures, including several novel
ones, that may help in distinguishing Alzheimer's disease (AD) patients from controls. We …

We propose an information processing pipeline for segmenting parts of the bowel in
abdominal magnetic resonance images that are affected with Crohn's disease. Given a …

In this study, an MRI‐based classification framework was proposed to distinguish the
patients with AD and MCI from normal participants by using multiple features and different …

Increasing incidence of Crohn's disease (CD) in the Western world has made its accurate
diagnosis an important medical challenge. The current reference standard for diagnosis …

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that first affects
memory functions and then progressively affects all cognitive functions with behavioral …

The prediction of Alzheimer's disease (AD) severity is very important in AD diagnosis and
patient care, especially for patients at early stage when clinical intervention is most effective …

The accurate diagnosis of Alzheimer's disease (AD) at different stages is essential to identify
patients at high risk of dementia and plan prevention or treatment measures accordingly. In …

For individuals suffering from some cognitive impairment, treatment plans will be greatly
help patients and medical practitioners, if early and accurate detection of Alzheimer's …

Statistical and machine learning techniques are frequently employed in the study of
neuroimaging data for finding Alzheimer disease (AD) in clinical studies and in additional …