Back to search

Article

Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindset

2018-09-10

Abstract excerpt

<h4>Objectives: </h4> Define a clinically usable preprocessing pipeline for MRI data. Predict brain age using various machine learning and deep learning algorithms. Define Caveat against common machine learning traps. Data and Methods: We used 1597 open-access T1 weighted MRI from 24 hospitals. Preprocessing consisted in applying: N4 bias field correction, registration to MNI152 space, white and grey stripe intens...

Topics

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

Identifiers and source

Literature Corpus work
708d7b7c-02fd-5333-8070-6d6fa6bc69d0
DOI
10.1101/413302
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.
Brain age prediction of healthy subjects on anatomic MRI with deep learning: going beyond with an "explainable AI" mindsetDOI 10.1101/413302
Select a neighboring publication to make it the new centre.