We refer to omics imaging as an emerging interdisciplinary field concerned with the
integration of data collected from biomedical images and omics analyses. Bringing together …

Over time, reduced hippocampal volume results in an amnestic syndrome, a core feature of
Alzheimer's disease. 1 Damage to the hippocampus is incorporated into the pathological …

Abstract Background Diagnosis of Parkinson's disease (PD) is informed by the presence of
progressive motor and non-motor symptoms and by imaging dopamine transporter with [123 …

Both neuroimaging and genomics datasets are often gathered for the detection of
neurodegenerative diseases. Huge dimensionalities of neuroimaging data as well as omics …

Imaging genetics is a method used to detect associations between imaging and genetic
variables. Some researchers have used sparse canonical correlation analysis (SCCA) for …

This chapter focuses on the joint modeling of heterogeneous information, such as imaging,
clinical, and biological data. This kind of problem requires to generalize classical uni-and …

The advent of recent high throughput sequencing technologies resulted in unexplored big
data of genomics and transcriptomics that might help to answer various research questions …

Multimodal imaging data are widely applied in imaging genetic studies to identify
associations between imaging and genetic data for the biomarker detection of …

Background: A genome-wide association study (GWAS) variant associated with Parkinson's
disease (PD) risk in Asians, rs9638616, was recently reported, and maps to …

Neurodegenerative diseases pose a formidable challenge to medical research, demanding
a nuanced understanding of their progressive nature. In this regard, latent generative …