Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Diagnosis‐Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine …
ME Alqaysi, AS Albahri… - International Journal of …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in
childhood and continues throughout life, affecting communication and verbal and behavioral …
childhood and continues throughout life, affecting communication and verbal and behavioral …
RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease
Fetal congenital heart disease (CHD) is a prevalent and highly complicated fetal deformity.
Furthermore, the number of infants with CHD accounts for as high as 6‰–8‰ among all the …
Furthermore, the number of infants with CHD accounts for as high as 6‰–8‰ among all the …
Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks
The Coronavirus disease 2019 (COVID-19) is a respiratory illness that can spread from
person to person. Since the COVID-19 pandemic is spreading rapidly over the world and its …
person to person. Since the COVID-19 pandemic is spreading rapidly over the world and its …
FLDS: An intelligent feature learning detection system for visualizing medical images supporting fetal four-chamber views
Fetal congenital heart disease (CHD) is the most common type of fatal congenital
malformation. Fetal four-chamber (FC) view is a significant and easily accessible ultrasound …
malformation. Fetal four-chamber (FC) view is a significant and easily accessible ultrasound …
[HTML][HTML] Beyond radiologist-level liver lesion detection on multi-phase contrast-enhanced CT images by deep learning
Accurate detection of liver lesions from multi-phase contrast-enhanced CT (CECT) scans is
a fundamental step for precise liver diagnosis and treatment. However, the analysis of multi …
a fundamental step for precise liver diagnosis and treatment. However, the analysis of multi …
A deep learning approach for the estimation of glomerular filtration rate
H Wang, B Bowe, Z Cui, H Yang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
An accurate estimation of glomerular filtration rate (GFR) is clinically crucial for kidney
disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine …
disease diagnosis and predicting the prognosis of chronic kidney disease (CKD). Machine …
Autistic spectrum disorder screening: prediction with machine learning models
A Baranwal, M Vanitha - 2020 International conference on …, 2020 - ieeexplore.ieee.org
Autistic Spectrum Disorder (ASD) is a developmental disorder that can be observed in all
age groups. This paper uses ASD screening dataset for analysis and prediction of probable …
age groups. This paper uses ASD screening dataset for analysis and prediction of probable …
An unsupervised machine learning approach for ground‐motion spectra clustering and selection
Clustering analysis of sequence data continues to address many applications in
engineering design, aided with the rapid growth of machine learning in applied science …
engineering design, aided with the rapid growth of machine learning in applied science …
Prediction of autism spectrum disorder from high-dimensional data using machine learning techniques
Over the past 5 years due to the changes in the environmental and human lifestyle, several
neurodevelopmental disorders are shooting their existence. Out of all, autism prevalence …
neurodevelopmental disorders are shooting their existence. Out of all, autism prevalence …