标题
Automated diagnosis of autism with artificial intelligence: State of the art
作者
关键词
-
出版物
REVIEWS IN THE NEUROSCIENCES
Volume -, Issue -, Pages -
出版商
Walter de Gruyter GmbH
发表日期
2023-09-07
DOI
10.1515/revneuro-2023-0050
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Survey of Explainable AI Techniques in Healthcare
- (2023) Ahmad Chaddad et al. SENSORS
- A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
- (2023) Zhenpeng Chen et al. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY
- Health system-scale language models are all-purpose prediction engines
- (2023) Lavender Yao Jiang et al. NATURE
- How can we manage biases in artificial intelligence systems – A systematic literature review
- (2023) Dr. Varsha P.S. International Journal of Information Management Data Insights
- Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI
- (2022) Alishba Sadiq et al. IEEE Access
- Global prevalence of autism: A systematic review update
- (2022) Jinan Zeidan et al. Autism Research
- Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset
- (2022) Chuizheng Meng et al. Scientific Reports
- Steps to avoid overuse and misuse of machine learning in clinical research
- (2022) Victor Volovici et al. NATURE MEDICINE
- How to Minimize the Impact of Experts’ Non-rational Beliefs on Their Judgments on Autism
- (2022) Maciej Wodziński et al. COMMUNITY MENTAL HEALTH JOURNAL
- Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification
- (2021) Peixin Lu et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI
- (2021) Matthew J. Leming et al. Molecular Autism
- Altered relationship between subjective perception and central representation of touch hedonics in adolescents with autism-spectrum disorder
- (2021) Irene Perini et al. Translational Psychiatry
- Brain imaging-based machine learning in autism spectrum disorder: methods and applications
- (2021) Ming Xu et al. JOURNAL OF NEUROSCIENCE METHODS
- BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
- (2021) Xiaoxiao Li et al. MEDICAL IMAGE ANALYSIS
- Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
- (2021) Viknesh Sounderajah et al. BMJ Open
- Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review
- (2021) Meijie Liu et al. Frontiers in Neuroscience
- Subjective and Electroencephalographic Sleep Parameters in Children and Adolescents with Autism Spectrum Disorder: A Systematic Review
- (2021) Maria Giuseppina Petruzzelli et al. Journal of Clinical Medicine
- PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews
- (2021) Melissa L. Rethlefsen et al. JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
- Classification of autism spectrum disorders individuals and controls using phase and envelope features from resting-state fMRI data
- (2021) Mahshid Naghashzadeh et al. Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization
- Region-Wise Brain Response Classification of ASD Children Using EEG and BiLSTM RNN
- (2021) Thanga Aarthy Manoharan et al. CLINICAL EEG AND NEUROSCIENCE
- Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling
- (2021) Naoki Okamoto et al. Frontiers in Neuroinformatics
- Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review
- (2021) Ahmad Chaddad et al. Diagnostics
- Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018
- (2021) Matthew J. Maenner et al. MMWR Surveillance Summaries
- A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method
- (2020) Donya Abdolzadegan et al. Biocybernetics and Biomedical Engineering
- Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder
- (2020) Jinlong Hu et al. Computational and Mathematical Methods in Medicine
- Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks
- (2020) Nicolas Georges et al. PATTERN RECOGNITION
- Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks
- (2020) Feng Zhao et al. Frontiers in Neuroscience
- Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study
- (2020) Elisa Ferrari et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care
- (2020) Tina Hernandez-Boussard et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity
- (2020) Maya A. Reiter et al. NEURAL COMPUTING & APPLICATIONS
- Brain MRI analysis using a deep learning based evolutionary approach
- (2020) Hossein Shahamat et al. NEURAL NETWORKS
- The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum Disorder
- (2020) Amirali Kazeminejad et al. Frontiers in Neuroscience
- Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results
- (2020) Xiaoxiao Li et al. MEDICAL IMAGE ANALYSIS
- Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging
- (2020) Hidir Selcuk Nogay et al. REVIEWS IN THE NEUROSCIENCES
- Identifying individuals with autism spectrum disorder based on the principal components of whole-brain phase synchrony
- (2020) Xueke Ma et al. NEUROSCIENCE LETTERS
- An fMRI Feature Selection Method Based on a Minimum Spanning Tree for Identifying Patients with Autism
- (2020) Chunlei Shi et al. Symmetry-Basel
- A new method for synthesizing test accuracy data outperformed the bivariate method
- (2020) Luis Furuya-Kanamori et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Sleep in Adults with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis of subjective and objective studies
- (2019) Bethany Morgan et al. SLEEP MEDICINE
- Early Autism Screening: A Comprehensive Review
- (2019) Fadi Thabtah et al. International Journal of Environmental Research and Public Health
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes
- (2019) Olfa Graa et al. JOURNAL OF NEUROSCIENCE METHODS
- Machine learning algorithm validation with a limited sample size
- (2019) Andrius Vabalas et al. PLoS One
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI
- (2018) Feng Zhao et al. Frontiers in Human Neuroscience
- Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies
- (2018) Matthew D. F. McInnes et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The effect of feature selection on multivariate pattern analysis of structural brain MR images
- (2018) Ayşe Demirhan Physica Medica-European Journal of Medical Physics
- Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder
- (2018) Julius M. Kernbach et al. Translational Psychiatry
- A Survey of Methods for Explaining Black Box Models
- (2018) Riccardo Guidotti et al. ACM COMPUTING SURVEYS
- The mythos of model interpretability
- (2018) Zachary C. Lipton COMMUNICATIONS OF THE ACM
- Deep Learning—A Technology With the Potential to Transform Health Care
- (2018) Geoffrey Hinton JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis
- (2018) Eunji Jun et al. NEUROIMAGE
- Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis
- (2018) Huifang Huang et al. HUMAN BRAIN MAPPING
- fMRIPrep: a robust preprocessing pipeline for functional MRI
- (2018) Oscar Esteban et al. NATURE METHODS
- Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis
- (2018) Mayssa Soussia et al. Frontiers in Neuroinformatics
- Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
- (2017) Marc D. Kohli et al. JOURNAL OF DIGITAL IMAGING
- Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
- (2017) Mohammad R. Arbabshirani et al. NEUROIMAGE
- Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification
- (2017) Weikai Li et al. Frontiers in Neuroinformatics
- PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement
- (2016) Jessie McGowan et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example
- (2016) Pegah Kassraian-Fard et al. Frontiers in Psychiatry
- Advances in the meta-analysis of heterogeneous clinical trials I: The inverse variance heterogeneity model
- (2015) Suhail A.R. Doi et al. Contemporary Clinical Trials
- Dissemination and publication of research findings: an updated review of related biases
- (2014) F Song et al. HEALTH TECHNOLOGY ASSESSMENT
- Testing for publication bias in diagnostic meta-analysis: a simulation study
- (2014) Paul-Christian Bürkner et al. STATISTICS IN MEDICINE
- QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies
- (2013) Penny F. Whiting ANNALS OF INTERNAL MEDICINE
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
- (2013) A Di Martino et al. MOLECULAR PSYCHIATRY
- The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives
- (2013) Craddock Cameron et al. Frontiers in Neuroinformatics
- Sharing Heterogeneous Data: The National Database for Autism Research
- (2012) Dan Hall et al. NEUROINFORMATICS
- Systematic reviews: CRD's guidance for undertaking reviews in health care
- (2010) Evelina Tacconelli LANCET INFECTIOUS DISEASES
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