The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly develo** and …

The use of radiomics and artificial intelligence applied for the diagnosis and monitoring of
Alzheimer's disease has developed in recent years. However, this approach is not yet …

Tract-specific microstructural analysis of the brain's white matter (WM) using diffusion MRI
has been a driver for neuroscientific discovery with a wide range of applications. Tractometry …

Parkinson's disease (PD) is a progressive, chronic, and neurodegenerative disorder that is
primarily diagnosed by clinical examinations and magnetic resonance imaging (MRI). In this …

Objectives The altered neuromelanin in substantia nigra pars compacta (SNpc) is a valuable
biomarker in the detection of early-stage Parkinson's disease (EPD). Diagnosis via visual …

Background: Parkinson's disease (PD) is a neurodegenerative disease in which the
neostriatum, including the caudate nucleus (CN) and putamen (PU), has an important role in …

Radiomics is a challenging development area in imaging field that is greatly capturing
interest of radiologists and neuroscientists. However, radiomics features show a strong non …

Objectives This study aimed to explore the feasibility of radiomics features extracted from T1-
weighted MRI images to differentiate Parkinson's disease (PD) from atypical parkinsonian …

Background: Late-onset Alzheimer's disease (LOAD) and early-onset Alzheimer's disease
(EOAD) are different subtypes of AD. This study aimed to build and validate radiomics …

Parkinson's disease (PD) is a progressive neurodegenerative disorder, characterized by
motor and non-motor symptoms due to the degeneration of the pars compacta of the …