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Autism Spectrum Disorder(ASD) is a set of neurodevelopmental conditions that affect patients' social abilities. In recent years, many studies have employed deep learning to diagnose this brain dysfunction through functional MRI (fMRI).…

图像与视频处理 · 电气工程与系统科学 2021-10-26 Li Pan , Jundong Liu , Mingqin Shi , Chi Wah Wong , Kei Hang Katie Chan

Diagnosing Autism Spectrum Disorder (ASD) is a challenging problem, and is based purely on behavioral descriptions of symptomology (DSM-5/ICD-10), and requires informants to observe children with disorder across different settings (e.g.…

神经元与认知 · 定量生物学 2020-03-04 Taban Eslami , Joseph S. Raiker , Fahad Saeed

Deep learning models based on resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used to diagnose brain diseases, particularly autism spectrum disorder (ASD). Existing studies have leveraged the functional…

机器学习 · 计算机科学 2023-10-06 Wonsik Jung , Eunjin Jeon , Eunsong Kang , Heung-Il Suk

Mental disorders such as Autism Spectrum Disorders (ASD) are heterogeneous disorders that are notoriously difficult to diagnose, especially in children. The current psychiatric diagnostic process is based purely on the behavioural…

机器学习 · 计算机科学 2019-04-17 Taban Eslami , Vahid Mirjalili , Alvis Fong , Angela Laird , Fahad Saeed

Autism spectrum disorder (ASD) is a highly disabling mental disease that brings significant impairments of social interaction ability to the patients, making early screening and intervention of ASD critical. With the development of the…

计算机视觉与模式识别 · 计算机科学 2025-04-08 Ruimin Ma , Ruitao Xie , Yanlin Wang , Jintao Meng , Yanjie Wei , Wenhui Xi , Yi Pan

Autistic Spectrum Disorder (ASD) is a neurological disease characterized by difficulties with social interaction, communication, and repetitive activities. While its primary origin lies in genetics, early detection is crucial, and…

The goal of the present study is to identify autism using machine learning techniques and resting-state brain imaging data, leveraging the temporal variability of the functional connections (FC) as the only information. We estimated and…

神经元与认知 · 定量生物学 2017-12-22 Ravi Tejwani , Adam Liska , Hongyuan You , Jenna Reinen , Payel Das

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by atypical functional brain connectivity and subtle structural alterations. rs-fMRI has been widely used to identify disruptions in large-scale brain…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Ansar Rahman , Hassan Shojaee-Mend , Sepideh Hatamikia

Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or touch. Although its main cause is genetics in nature, early…

机器学习 · 计算机科学 2021-05-27 Md Delowar Hossain , Muhammad Ashad Kabir , Adnan Anwar , Md Zahidul Islam

Autism spectrum disorder (ASD) is regarded as a brain disease with globally disrupted neuronal networks. Even though fMRI studies have revealed abnormal functional connectivity in ASD, they have not reached a consensus of the disrupted…

计算机视觉与模式识别 · 计算机科学 2017-07-26 Hongyoon Choi

We propose a model for diagnosing Autism spectrum disorder (ASD) using multimodal magnetic resonance imaging (MRI) data. Our approach integrates brain connectivity data from diffusion tensor imaging (DTI) and functional MRI (fMRI),…

神经元与认知 · 定量生物学 2024-10-10 Lu Wei , Yi Huang , Guosheng Yin , Fode Zhang , Manxue Zhang , Bin Liu

Resting-state functional MRI (rs-fMRI) scans hold the potential to serve as a diagnostic or prognostic tool for a wide variety of conditions, such as autism, Alzheimer's disease, and stroke. While a growing number of studies have…

计算机视觉与模式识别 · 计算机科学 2018-06-14 Meenakshi Khosla , Keith Jamison , Amy Kuceyeski , Mert Sabuncu

In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence. Our system classifies ASD using…

计算机视觉与模式识别 · 计算机科学 2019-04-09 Beibin Li , Sachin Mehta , Deepali Aneja , Claire Foster , Pamela Ventola , Frederick Shic , Linda Shapiro

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 deficits and repetitive behavior in affected individuals. Various ASD…

Autism spectrum disorder (ASD) is a complex neurodevelopmental syndrome. Early diagnosis and precise treatment are essential for ASD patients. Although researchers have built many analytical models, there has been limited progress in…

神经元与认知 · 定量生物学 2018-10-30 Juntang Zhuang , Nicha C. Dvornek , Xiaoxiao Li , Pamela Ventola , James S. Duncan

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Finding the biomarkers associated with ASD is extremely helpful to understand the underlying roots of the disorder and can lead to earlier diagnosis and more targeted…

计算机视觉与模式识别 · 计算机科学 2018-08-28 Xiaoxiao Li , Nicha C. Dvornek , Juntang Zhuang , Pamela Ventola , James S. Duncan

Computer vision and machine learning are the linchpin of field of automation. The medicine industry has adopted numerous methods to discover the root causes of many diseases in order to automate detection process. But, the biomarkers of…

计算机视觉与模式识别 · 计算机科学 2021-11-29 Hamza Sharif , Rizwan Ahmed Khan

Autism spectrum disorder (ASD) is associated with behavioral and communication problems. Often, functional magnetic resonance imaging (fMRI) is used to detect and characterize brain changes related to the disorder. Recently, machine…

图像与视频处理 · 电气工程与系统科学 2020-04-22 Marcel Bengs , Nils Gessert , Alexander Schlaefer

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by atypical brain connectivity. One of the crucial steps in addressing ASD is its early detection. This study introduces a novel computational framework that…

应用统计 · 统计学 2026-03-31 Abigail Kelly , Ramchandra Rimal , Arpan Sainju

Autism spectrum disorder ASD is a neurodevelopmental disorder associated with challenges in communication, social interaction, and repetitive behaviors. Getting a clear diagnosis for a child is necessary for starting early intervention and…

机器学习 · 计算机科学 2021-10-05 Afef Saihi , Hussam Alshraideh
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