Article

Accurate brain age prediction using recurrent slice-based networks

2020-08-05

Abstract excerpt

<h4>ABSTRACT</h4> BrainAge (a subject’s apparent age predicted from neuroimaging data) is an important biomarker of brain aging. The deviation of BrainAge from true age has been associated with psychiatric and neurological disease, and has proven effective in predicting conversion from mild cognitive impairment (MCI) to dementia. Conventionally, 3D convolutional neural networks and their variants are used for bra...

Topics

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

Identifiers and source

Literature Corpus work: 4ae6b5e9-1962-5bbf-aa6e-b21cc673f684
DOI: 10.1101/2020.08.04.235069

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Accurate brain age prediction using recurrent slice-based networksDOI 10.1101/2020.08.04.235069Read

From a deep learning model back to the brain - inferring morphological markers and their relation to agingSemantic proximity Read

Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural NetworksSemantic proximity Read

Brain Age Prediction: Deep Models Need a Hand to GeneralizeSemantic proximity Read

Attention-Guided Multimodal Neuroimaging Fusion Network for Modeling Brain Aging PatternSemantic proximity Read

Deep neural networks learn general and clinically relevant representations of the ageing brainSemantic proximity Read

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

Deep learning-based brain age prediction in normal aging and dementiaSemantic proximity Read

Research of CNN-SCN for Early Diagnosis of Alzheimer's DiseaseSemantic proximity Read

Enhancing Brain Age Estimation Under Uncertainty: A Spectral-normalized Neural Gaussian Process Approach Utilizing 2.5D SlicingSemantic proximity Read

Accurate brain age prediction with lightweight deep neural networksSemantic proximity Read

Optimizing Artificial Neural Network Models to Predict Brain-Age from Functional MRISemantic proximity Read

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American CohortsSemantic proximity Read