HS Nogay, H Adeli - Reviews in the Neurosciences, 2020 - degruyter.com
Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long diagnostic period encountered in the early years of life. If diagnosed early, the negative …
One paradox of autism is the co-occurrence of deficits in sensory and higher-order socio- cognitive processing. Here, we examined whether these phenotypical patterns may relate to …
HS Nogay, H Adeli - Biomedical Signal Processing and Control, 2023 - Elsevier
In this study, an automatic autism diagnostic model based on sMRI is proposed. This proposed model consists of two basic stages. The first stage is the preprocessing stage …
KK Hyde, MN Novack, N LaHaye… - Review Journal of …, 2019 - Springer
Autism spectrum disorder (ASD) research has yet to leverage “big data” on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may …
(1) Background: Transfer learning refers to machine learning techniques that focus on acquiring knowledge from related tasks to improve generalization in the tasks of interest. In …
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is characterized by a wide range of symptoms. Identifying biomarkers for accurate diagnosis is crucial for early …
J Tohka, M Van Gils - Computers in Biology and Medicine, 2021 - Elsevier
Research on decision support applications in healthcare, such as those related to diagnosis, prediction, treatment planning, etc., has seen strongly growing interest in recent years. This …
Background The neuroanatomical basis of autism spectrum disorder (ASD) has remained elusive, mostly owing to high biological and clinical heterogeneity among diagnosed …
Abstract Autism Spectrum Disorder (ASD) affects approximately 1% of the population and leads to impairments in social interaction, communication and restricted, repetitive …