We present a review of the characterization of healthy brain aging using MRI with an
emphasis on morphology, lesions, and quantitative MR parameters. A scope review found …

Structural magnetic resonance imaging (sMRI) offers immense potential for increasing our
understanding of how anatomical brain development relates to clinical symptoms and …

The gap between chronological age (CA) and biological brain age, as estimated from
magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging …

While aggregation of neuroimaging datasets from multiple sites and scanners can yield
increased statistical power, it also presents challenges due to systematic scanner effects …

Highlights•We present Neuroharmony, a harmonization tool for images from unseen
scanners.•We developed Neuroharmony using a total of 15,026 sMRI images.•The tool was …

Abstract Domain adaptation (DA) is an important technique for modern machine learning-
based medical data analysis, which aims at reducing distribution differences between …

Psychoradiology is an emerging discipline at the intersection between radiology and
psychiatry. It applies radiological technologies to unveil patterns of anatomic and functional …

Introduction Brain atrophy is a critical biomarker of disease progression and treatment
response in neurodegenerative diseases such as multiple sclerosis (MS). Confounding …

When analyzing large multicenter databases, the effects of multiple confounding covariates
increase the variability in the data and may reduce the ability to detect changes due to the …

There is an increasing need of sharing harmonized data from large, cooperative studies as
this is essential to develop new diagnostic and prognostic biomarkers. In the field of multiple …