Deep-learning-based diagnosis and prognosis of Alzheimer's disease: A comprehensive review
Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and the most
common cause of Dementia. Neuroimaging analyses, such as T1 weighted magnetic …
common cause of Dementia. Neuroimaging analyses, such as T1 weighted magnetic …
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Twelve lead electrocardiogram signals capture unique fingerprints about the body's
biological processes and electrical activity of heart muscles. Machine learning and deep …
biological processes and electrical activity of heart muscles. Machine learning and deep …
Multimodal neuroimaging based Alzheimer's disease diagnosis using evolutionary RVFL classifier
T Goel, R Sharma, M Tanveer… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is one of the most known causes of dementia which can be
characterized by continuous deterioration in the cognitive skills of elderly people. It is a non …
characterized by continuous deterioration in the cognitive skills of elderly people. It is a non …
Association of white matter volume with brain age classification using deep learning network and region wise analysis
Structural magnetic resonance imaging (sMRI) has been used to examine age-related
neuroanatomical changes in the human brain. In the present work, a pre-trained deep …
neuroanatomical changes in the human brain. In the present work, a pre-trained deep …
Exploring the potential of vgg-16 architecture for accurate brain tumor detection using deep learning
P Gayathri, A Dhavileswarapu, S Ibrahim… - Journal of Computers …, 2023 - jcmm.co.in
This study explores the potential of the VGG-16 architecture, a Convolutional Neural
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …
Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review
Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Brain age prediction algorithms using structural magnetic resonance imaging (MRI) aim to
assess the biological age of the human brain. The difference between a person's …
assess the biological age of the human brain. The difference between a person's …
BASE: brain age standardized evaluation
L Dular, Ž Špiclin… - NeuroImage, 2024 - Elsevier
Brain age, most commonly inferred from T1-weighted magnetic resonance images (T1w
MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain …
MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain …
Graph embedded intuitionistic fuzzy random vector functional link neural network for class imbalance learning
The domain of machine learning is confronted with a crucial research area known as class
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …
imbalance (CI) learning, which presents considerable hurdles in the precise classification of …
Dual-stream Representation Fusion Learning for accurate medical image segmentation
Accurate segmenting regions of interest in various medical images are essential to clinical
research and applications. Although deep learning-based methods have achieved good …
research and applications. Although deep learning-based methods have achieved good …