BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans.

Timothy J HendricksonPaul ReinersLucille A MooreAnders J PerroneDimitrios AlexopoulosErik G Lee Martin A StynerOmid KardanTaylor A ChamberlainAnurima MummaneniHenrique A CaldasBrad BowerSally StoyellTabitha MartinSooyeon SungErmias FairJonathan Uriarte-LopezAmanda R Rueter Monica D Rosenberg Christopher D Smyser Jed T ElisonAlice GrahamDamien A Fair Eric Feczko

Published in: bioRxiv : the preprint server for biology (2023)

BIBSNet segmentation shows marked improvement over JLF segmentations across all age groups analyzed. The BIBSNet model is 600x faster compared to JLF and can be easily included in other processing pipelines.

Keyphrases

deep learning
convolutional neural network
contrast enhanced
artificial intelligence
computed tomography
magnetic resonance imaging
machine learning
white matter
resting state
multiple sclerosis
brain injury
subarachnoid hemorrhage
network analysis