Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …
symptoms that appear in early childhood. ASD is also associated with communication …
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
A novel memristive neuron model and its energy characteristics
Y Xie, Z Ye, X Li, X Wang, Y Jia - Cognitive Neurodynamics, 2024 - Springer
The functional neurons are basic building blocks of the nervous system and are responsible
for transmitting information between different parts of the body. However, it is less known …
for transmitting information between different parts of the body. However, it is less known …
An approach to binary classification of Alzheimer's disease using LSTM
In this study, we use LSTM (Long-Short-Term-Memory) networks to evaluate Magnetic
Resonance Imaging (MRI) data to overcome the shortcomings of conventional Alzheimer's …
Resonance Imaging (MRI) data to overcome the shortcomings of conventional Alzheimer's …
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Schizophrenia (SZ) is a prevalent mental disorder characterized by cognitive, emotional,
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
and behavioral changes. Symptoms of SZ include hallucinations, illusions, delusions, lack of …
Role of artificial intelligence for autism diagnosis using DTI and fMRI: A survey
Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …
[HTML][HTML] Machine learning techniques to predict mental health diagnoses: A systematic literature review
U Madububambachu, A Ukpebor… - Clinical Practice and …, 2024 - pmc.ncbi.nlm.nih.gov
Introduction This study aims to investigate the potential of machine learning in predicting
mental health conditions among college students by analyzing existing literature on mental …
mental health conditions among college students by analyzing existing literature on mental …
Empirical mode decomposition for deep learning-based epileptic seizure detection in few-shot scenario
Y Pan, F Dong, W Yao, X Meng, Y Xu - IEEE Access, 2024 - ieeexplore.ieee.org
The precise and automated detection of epileptic seizures has become a focal point of
research due to its potential to alleviate the severe consequences experienced by patients …
research due to its potential to alleviate the severe consequences experienced by patients …