Back to search

Article

Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks

2022-03-17

Abstract excerpt

Brain extraction, which refers to the task of segmenting brain tissue in an MR image of a subject, forms an essential first step for many quantitative neuroimaging applications. These include quantifying grey and white matter volumes, monitoring neurological diseases like multiple sclerosis (MS) and Alzheimer’s disease, and estimating brain atrophy. Over the years several algorithms that automate brain extraction...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d62f722b-5410-5fa7-b576-3fa6bc68722d
DOI
10.1101/2022.03.14.484346
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial NetworksDOI 10.1101/2022.03.14.484346
Select a neighboring publication to make it the new centre.