170 related articles for article (PubMed ID: 32728675)
21. Detecting autism from picture book narratives using deep neural utterance embeddings.
Wawer A; Chojnicka I
Int J Lang Commun Disord; 2022 Sep; 57(5):948-962. PubMed ID: 35555933
[TBL] [Abstract][Full Text] [Related]
22. Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning Model.
Yang M; Cao M; Chen Y; Chen Y; Fan G; Li C; Wang J; Liu T
Front Hum Neurosci; 2021; 15():687288. PubMed ID: 34149385
[TBL] [Abstract][Full Text] [Related]
23. Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.
Chen CP; Keown CL; Jahedi A; Nair A; Pflieger ME; Bailey BA; Müller RA
Neuroimage Clin; 2015; 8():238-45. PubMed ID: 26106547
[TBL] [Abstract][Full Text] [Related]
24. Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks.
Yang T; Al-Duailij MA; Bozdag S; Saeed F
Proc IEEE Int Conf Big Data; 2022 Dec; 2022():3131-3138. PubMed ID: 38952948
[TBL] [Abstract][Full Text] [Related]
25. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
Aghdam MA; Sharifi A; Pedram MM
J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
[TBL] [Abstract][Full Text] [Related]
26. Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI.
Wang N; Yao D; Ma L; Liu M
Med Image Anal; 2022 Jan; 75():102279. PubMed ID: 34731776
[TBL] [Abstract][Full Text] [Related]
27. Topological analysis of brain dynamics in autism based on graph and persistent homology.
Talesh Jafadideh A; Mohammadzadeh Asl B
Comput Biol Med; 2022 Nov; 150():106202. PubMed ID: 37859293
[TBL] [Abstract][Full Text] [Related]
28. Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity--A multi-center study.
Chen H; Duan X; Liu F; Lu F; Ma X; Zhang Y; Uddin LQ; Chen H
Prog Neuropsychopharmacol Biol Psychiatry; 2016 Jan; 64():1-9. PubMed ID: 26148789
[TBL] [Abstract][Full Text] [Related]
29. Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
Cao P; Wen G; Liu X; Yang J; Zaiane OR
Med Biol Eng Comput; 2022 Jul; 60(7):1897-1913. PubMed ID: 35522357
[TBL] [Abstract][Full Text] [Related]
30. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
Alharthi AG; Alzahrani SM
Comput Biol Med; 2023 Dec; 167():107667. PubMed ID: 37939407
[TBL] [Abstract][Full Text] [Related]
31. Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.
Zhu H; Wang J; Zhao YP; Lu M; Shi J
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1943-1954. PubMed ID: 37015677
[TBL] [Abstract][Full Text] [Related]
32. GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.
Hu J; Cao L; Li T; Dong S; Li P
BMC Bioinformatics; 2021 Jul; 22(1):379. PubMed ID: 34294047
[TBL] [Abstract][Full Text] [Related]
33. AIMAFE: Autism spectrum disorder identification with multi-atlas deep feature representation and ensemble learning.
Wang Y; Wang J; Wu FX; Hayrat R; Liu J
J Neurosci Methods; 2020 Sep; 343():108840. PubMed ID: 32653384
[TBL] [Abstract][Full Text] [Related]
34. Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network.
Sherkatghanad Z; Akhondzadeh M; Salari S; Zomorodi-Moghadam M; Abdar M; Acharya UR; Khosrowabadi R; Salari V
Front Neurosci; 2019; 13():1325. PubMed ID: 32009868
[No Abstract] [Full Text] [Related]
35. Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data.
Parikh MN; Li H; He L
Front Comput Neurosci; 2019; 13():9. PubMed ID: 30828295
[TBL] [Abstract][Full Text] [Related]
36. Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network.
Huang ZA; Zhu Z; Yau CH; Tan KC
IEEE Trans Neural Netw Learn Syst; 2021 Jul; 32(7):2847-2861. PubMed ID: 32692687
[TBL] [Abstract][Full Text] [Related]
37. Improving Multi-Site Autism Classification via Site-Dependence Minimization and Second-Order Functional Connectivity.
Kunda M; Zhou S; Gong G; Lu H
IEEE Trans Med Imaging; 2023 Jan; 42(1):55-65. PubMed ID: 36054402
[TBL] [Abstract][Full Text] [Related]
38. Identifying autism spectrum disorder using edge-centric functional connectivity.
Sun A; Wang J; Zhang J
Cereb Cortex; 2023 Jun; 33(13):8122-8130. PubMed ID: 36977635
[TBL] [Abstract][Full Text] [Related]
39. Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset.
Ingalhalikar M; Shinde S; Karmarkar A; Rajan A; Rangaprakash D; Deshpande G
IEEE Trans Biomed Eng; 2021 Dec; 68(12):3628-3637. PubMed ID: 33989150
[TBL] [Abstract][Full Text] [Related]
40. ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data.
Almuqhim F; Saeed F
Front Comput Neurosci; 2021; 15():654315. PubMed ID: 33897398
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]