Analysis of brain NMR images for age estimation with deep learning
During the last decade, deep learning and Convolutional Neural Networks (CNNs) have
produced a devastating impact on computer vision, yielding exceptional results on a variety …
produced a devastating impact on computer vision, yielding exceptional results on a variety …
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 …
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 …
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 …
Predicting brain-age from raw T 1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks
Age prediction based on Magnetic Resonance Imaging (MRI) data of the brain is a
biomarker to quantify the progress of brain diseases and aging. Current approaches rely on …
biomarker to quantify the progress of brain diseases and aging. Current approaches rely on …
Anatomical context improves deep learning on the brain age estimation task
Deep learning has shown remarkable improvements in the analysis of medical images
without the need for engineered features. In this work, we hypothesize that deep learning is …
without the need for engineered features. In this work, we hypothesize that deep learning is …
Multi-branch cnn for multi-scale age estimation
Abstract Convolutional Neural Networks (CNNs) attracted growing interest in recent years
thanks to their high generalization capabilities that are highly recommended especially for …
thanks to their high generalization capabilities that are highly recommended especially for …
Transfer learning models on brain age prediction
The early diagnosis and intervention for neurological diseases such as Alzheimer's disease
has been becoming more and more important in medical treatment. Some state-of-the-art …
has been becoming more and more important in medical treatment. Some state-of-the-art …
Brain age estimation using brain MRI and 3D convolutional neural network
N Pardakhti, H Sajedi - 2019 9th International Conference on …, 2019 - ieeexplore.ieee.org
Human Brain Age has become a popular aging biomarker and is used to detect the
differences among healthy subjects. It is also used as a health biomarker between the group …
differences among healthy subjects. It is also used as a health biomarker between the group …
Organ-based chronological age estimation based on 3D MRI scans
K Armanious, S Abdulatif… - 2020 28th European …, 2021 - ieeexplore.ieee.org
Individuals age differently depending on a multitude of different factors such as lifestyle,
medical history and genetics. Often, the global chronological age is not indicative of the true …
medical history and genetics. Often, the global chronological age is not indicative of the true …