Artificial intelligence based techniques for the detection of socio-behavioral disorders: a systematic review
M Mengi, D Malhotra - Archives of Computational Methods in Engineering, 2022 - Springer
In new era of emerging technologies, diagnosing the neurodevelopmental disorders at the
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …
primitive stage has led to a rise in the development of automated diagnostic systems. Socio …
A review of supportive computational approaches for neurological disorder identification
D Meedeniya, I Rubasinghe - Interdisciplinary approaches to …, 2020 - igi-global.com
At present there is a growth of physical symptoms with psychological overlays, resulting in
neurodevelopment disorders, where both psychiatrist and medical specialties work in …
neurodevelopment disorders, where both psychiatrist and medical specialties work in …
[PDF][PDF] U-Net Based Chest X-ray Segmentation with Ensemble Classification for Covid-19 and Pneumonia.
K Kumarasinghe, SL Kolonne… - … Journal of Online & …, 2022 - researchgate.net
Respiratory diseases have been known to be a main cause of death worldwide. Pneumonia
and Covid-19 are two of the dominant diseases. Several deep learning based studies are …
and Covid-19 are two of the dominant diseases. Several deep learning based studies are …
Integration of facial thermography in EEG-based classification of ASD
D Haputhanthri, G Brihadiswaran… - International Journal of …, 2020 - Springer
Autism spectrum disorder (ASD) is a neurodevelopmental disorder affecting social,
communicative, and repetitive behavior. The phenotypic heterogeneity of ASD makes timely …
communicative, and repetitive behavior. The phenotypic heterogeneity of ASD makes timely …
fMRI feature extraction model for ADHD classification using convolutional neural network
Biomedical intelligence provides a predictive mechanism for the automatic diagnosis of
diseases and disorders. With the advancements of computational biology, neuroimaging …
diseases and disorders. With the advancements of computational biology, neuroimaging …
Computational decision support system for ADHD identification
Attention deficit/hyperactivity disorder (ADHD) is a common disorder among children. ADHD
often prevails into adulthood, unless proper treatments are facilitated to engage self …
often prevails into adulthood, unless proper treatments are facilitated to engage self …
Subtype classification of attention deficit hyperactivity disorder with hierarchical binary hypothesis testing framework
Y Gao, H Ni, Y Chen, Y Tang, X Liu - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The diagnosis of attention deficit hyperactivity disorder (ADHD) subtypes is
important for the refined treatment of ADHD children. Although automated diagnosis …
important for the refined treatment of ADHD children. Although automated diagnosis …
ADHD identification using convolutional neural network with seed-based approach for fMRI data
Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent psychiatric disorder with
persistent patterns of inattention, hyperactivity and impulsivity behaviors among children …
persistent patterns of inattention, hyperactivity and impulsivity behaviors among children …
[PDF][PDF] Ultrasound nerve segmentation using deep probabilistic programming
I Rubasinghe, D Meedeniya - Journal of ICT Research and …, 2019 - researchgate.net
Deep probabilistic programming concatenates the strengths of deep learning to the context
of probabilistic modeling for efficient and flexible computation in practice. Being an evolving …
of probabilistic modeling for efficient and flexible computation in practice. Being an evolving …
Chest radiographs classification using multi-model deep learning: A comparative study
C Fernando, S Kolonne… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Respiratory diseases have been a main reason for death in many countries worldwide. This
study considers Pneumonia which is a common lung infection condition and COVID-19 …
study considers Pneumonia which is a common lung infection condition and COVID-19 …