[HTML][HTML] Age Estimation from Brain Magnetic Resonance Images Using Deep Learning Techniques in Extensive Age Range
K Usui, T Yoshimura, M Tang, H Sugimori - Applied Sciences, 2023 - mdpi.com
Estimation of human age is important in the fields of forensic medicine and the detection of
neurodegenerative diseases of the brain. Particularly, the age estimation methods using …
neurodegenerative diseases of the brain. Particularly, the age estimation methods using …
Age prediction based on brain MRI image: a survey
H Sajedi, N Pardakhti - Journal of medical systems, 2019 - Springer
Human age prediction is an interesting and applicable issue in different fields. It can be
based on various criteria such as face image, DNA methylation, chest plate radiographs …
based on various criteria such as face image, DNA methylation, chest plate radiographs …
Age estimation from MR images via 3D convolutional neural network and densely connect
The estimation of brain age from magnetic resonance (MR) images is useful for computer-
aided diagnosis (CAD) in neurodegenerative diseases. Some deep learning methods has …
aided diagnosis (CAD) in neurodegenerative diseases. Some deep learning methods has …
Age estimates from brain magnetic resonance images of children younger than two years of age using deep learning
M Kawaguchi, H Kidokoro, R Ito, A Shiraki… - Magnetic Resonance …, 2021 - Elsevier
The accuracy of brain age estimates from magnetic resonance (MR) images has improved
with the advent of deep learning artificial intelligence (AI) models. However, most previous …
with the advent of deep learning artificial intelligence (AI) models. However, most previous …
An age estimation method using 3D-CNN from brain MRI images
A specific pattern of morphological changes in the human brain is observed during the
process of brain development and healthy aging. The age of subjects can be estimated from …
process of brain development and healthy aging. The age of subjects can be estimated from …
Patch-based brain age estimation from MR images
Brain age estimation from Magnetic Resonance Images (MRI) derives the difference
between a subject's biological brain age and their chronological age. This is a potential …
between a subject's biological brain age and their chronological age. This is a potential …
Utilizing transfer learning of pre-trained AlexNet and relevance vector machine for regression for predicting healthy older adult's brain age from structural MRI
L Lin, G Zhang, J Wang, M Tian, S Wu - Multimedia Tools and Applications, 2021 - Springer
Discrepancies between the estimated brain age from brain structural MRI and the
chronological age have been associated with a broad spectrum of neurocognitive disorders …
chronological age have been associated with a broad spectrum of neurocognitive disorders …
Deep learning for brain age estimation: A systematic review
Abstract Over the years, Machine Learning models have been successfully employed on
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …
Brain age estimation from MRI using a two-stage cascade network with ranking loss
As age increases, human brains will be aged, and people tend to experience cognitive
decline with a higher risk of neuro-degenerative disease and dementia. Recently, it was …
decline with a higher risk of neuro-degenerative disease and dementia. Recently, it was …
[PDF][PDF] Transfer learning on T1-weighted images for brain age estimation
H Jiang, J Guo, H Du, J Xu, B Qiu - Math. Biosci. Eng, 2019 - aimspress.com
Due to both the hidden nature and the irreversibility of Alzheimers disease (AD), it has
become the killer of the elderly and is thus the focus of much attention in the medical field …
become the killer of the elderly and is thus the focus of much attention in the medical field …