Article

U-Net Model for Brain Extraction: Trained on Humans for Transfer to Non-human Primates

2020-11-20

Abstract excerpt

Brain extraction (a.k.a. skull stripping) is a fundamental step in the neuroimaging pipeline as it can affect the accuracy of downstream preprocess such as image registration, tissue classification, etc. Most brain extraction tools have been designed for and applied to human data and are often challenged by non-human primates (NHP) data. Amongst recent attempts to improve performance on NHP data, deep learning mod...

Topics

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

Identifiers and source

Literature Corpus work: 9c5b0728-e1e0-5ce2-a828-e8705ac80c55
DOI: 10.1101/2020.11.17.385898

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

U-Net Model for Brain Extraction: Trained on Humans for Transfer to Non-human PrimatesDOI 10.1101/2020.11.17.385898Read

A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humansSemantic proximity Read

NeuroAtlas: An Artificial Intelligence-based Framework for Annotation, Segmentation and Registration of Large Scale Biomedical Imaging DataSemantic proximity Read

Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging TasksSemantic proximity Read

Learning diverse and generic representations of the brain with large-scale multi-task pretrainingSemantic proximity Read

A population MRI brain template and analysis tools for the macaqueSemantic proximity Read

A Generative Skull Stripping of Multiparametric Brain MRIs Using 3D Convolutional Neural NetworkSemantic proximity Read

Comparison of different methods for average anatomical templates creation: do we really gain anything from a diffeomorphic framework?Semantic proximity Read

Deep-diffeomorphic networks for conditional brain templatesSemantic proximity Read

Generalising the HCP multimodal cortical parcellation to UK BiobankSemantic proximity Read

BrainSignsNET: Deep Learning-Based 3D Anatomical Landmark Detection in Human Brain ImagingSemantic proximity Read

Towards a general-purpose foundation model for fMRI analysisSemantic proximity Read

A controlled human–macaque basal ganglia transfer benchmark from HMBA expressionSemantic proximity Read