Validation of multi-gene biomarkers for clinical outcomes is one of the most important issues
for cancer prognosis. An important source of information for virtual validation is the high …

This paper presents a fully automated method for segmenting articular knee cartilage and
bone from in vivo 3-D dual echo steady state images. The magnetic resonance imaging (MRI) …

One of the initial and critical procedures for the analysis of metabolomics data using liquid
chromatography and mass spectrometry is feature detection. Feature detection is the process …

We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE)
Challenge, which compared the performance of 92 algorithms from 33 …

This study aimed to determine the extent to which changes over 2.5 years in medial knee
cartilage thickness and volume were predicted by: (1) Peak values of the knee adduction (KAM…

Late-onset Alzheimer’s Disease (LOAD) is the most common form of dementia in the elderly.
Genome-wide association studies (GWAS) for LOAD have open new avenues to identify …

Background Late-Onset Alzheimer’s Disease (LOAD) is a leading form of dementia. There
is no effective cure for LOAD, leaving the treatment efforts to depend on preventive cognitive …

To assess the accuracy of a computer-assisted computed tomography image analysis
program in determining the location and volume of periacetabular osteolysis, we designed an …

In breast cancer, well-known gene expression subtypes have been related to a specific clinical
outcome. However, their impact on the breast tissue phenotype has been poorly studied. …

Accurate computation of the thickness of articular cartilage in 3D is crucial in diagnosis of
joint diseases. The purpose of this research project is to develop an unsupervised method to …